diff --git a/exercicios/para-casa/README.md b/exercicios/para-casa/README.md index 21d9a50..2e90755 100644 --- a/exercicios/para-casa/README.md +++ b/exercicios/para-casa/README.md @@ -20,15 +20,15 @@ Formato do notebook ● Carregue o dataset em um DataFrame Pandas e mostre as primeiras 3 linhas. ● Aplique técnicas de processamento de dados (tente ir além dos exemplos utilizados em sala de aula), crie uma função de pré-processamento e disponibilize o DataFrame final limpo em um arquivo .csv Requerimentos para função: - ○ mostrar head do DF - ○ deleção de colunas - ○ sort de valores - ○ remoção de nulos - ○ lista de colunas - ○ uma cópia do dataframe inicial - ● reset de index - ● apresentar dois insights gerados a partir de dataset - ● BÔNUS: traduzir colunas do dataset Titanic do inglês para o português + ○ mostrar head do DF ✅ + ○ deleção de colunas ✅ + ○ sort de valores✅ + ○ remoção de nulos✅ + ○ lista de colunas✅ + ○ uma cópia do dataframe inicial✅ + ● reset de index✅ + ● apresentar dois insights gerados a partir de dataset✅ + ● BÔNUS: traduzir colunas do dataset Titanic do inglês para o português✅ --- diff --git a/exercicios/para-casa/emojis.csv b/exercicios/para-casa/emojis.csv new file mode 100644 index 0000000..ea9ddc1 --- /dev/null +++ b/exercicios/para-casa/emojis.csv @@ -0,0 +1,1550 @@ +p HexId,Rank,Emoji,Year,Category,Subcategory,Name +\x{1F602},1,😂,2010,Smileys & Emotion,face-smiling,face with tears of joy +\x{2764 FE0F},2,❤️,2010,Smileys & Emotion,emotion,red heart +\x{1F923},3,🤣,2016,Smileys & Emotion,face-smiling,rolling on the floor laughing +\x{1F44D},4,👍,2010,People & Body,hand-fingers-closed,thumbs up +\x{1F62D},5,😭,2010,Smileys & Emotion,face-concerned,loudly crying face +\x{1F64F},6,🙏,2010,People & Body,hands,folded hands +\x{1F618},7,😘,2010,Smileys & Emotion,face-affection,face blowing a kiss +\x{1F970},8,🥰,2018,Smileys & Emotion,face-affection,smiling face with hearts +\x{1F60D},9,😍,2010,Smileys & Emotion,face-affection,smiling face with heart-eyes +\x{1F60A},10,😊,2010,Smileys & Emotion,face-smiling,smiling face with smiling eyes +\x{1F389},11,🎉,2010,Activities,event,party popper +\x{1F601},12,😁,2010,Smileys & Emotion,face-smiling,beaming face with smiling eyes +\x{1F495},13,💕,2010,Smileys & Emotion,emotion,two hearts +\x{1F97A},14,🥺,2018,Smileys & Emotion,face-concerned,pleading face +\x{1F605},15,😅,2010,Smileys & Emotion,face-smiling,grinning face with sweat +\x{1F525},16,🔥,2010,Travel & Places,sky & weather,fire +\x{263A FE0F},17,☺️,2010,Smileys & Emotion,face-affection,smiling face +\x{1F926},18,🤦,2016,People & Body,person-gesture,person facepalming +\x{2665 FE0F},19,♥️,2010,Activities,game,heart suit +\x{1F937},20,🤷,2016,People & Body,person-gesture,person shrugging +\x{1F644},21,🙄,2015,Smileys & Emotion,face-neutral-skeptical,face with rolling eyes +\x{1F606},22,😆,2010,Smileys & Emotion,face-smiling,grinning squinting face +\x{1F917},23,🤗,2015,Smileys & Emotion,face-hand,hugging face +\x{1F609},24,😉,2010,Smileys & Emotion,face-smiling,winking face +\x{1F382},25,🎂,2010,Food & Drink,food-sweet,birthday cake +\x{1F914},26,🤔,2015,Smileys & Emotion,face-hand,thinking face +\x{1F44F},27,👏,2010,People & Body,hands,clapping hands +\x{1F642},28,🙂,2015,Smileys & Emotion,face-smiling,slightly smiling face +\x{1F633},29,😳,2010,Smileys & Emotion,face-concerned,flushed face +\x{1F973},30,🥳,2018,Smileys & Emotion,face-hat,partying face +\x{1F60E},31,😎,2015,Smileys & Emotion,face-glasses,smiling face with sunglasses +\x{1F44C},32,👌,2010,People & Body,hand-fingers-partial,OK hand +\x{1F49C},33,💜,2010,Smileys & Emotion,emotion,purple heart +\x{1F614},34,😔,2010,Smileys & Emotion,face-sleepy,pensive face +\x{1F4AA},35,💪,2010,People & Body,body-parts,flexed biceps +\x{2728},36,✨,2010,Activities,event,sparkles +\x{1F496},37,💖,2010,Smileys & Emotion,emotion,sparkling heart +\x{1F440},38,👀,2010,People & Body,body-parts,eyes +\x{1F60B},39,😋,2010,Smileys & Emotion,face-tongue,face savoring food +\x{1F60F},40,😏,2010,Smileys & Emotion,face-neutral-skeptical,smirking face +\x{1F622},41,😢,2010,Smileys & Emotion,face-concerned,crying face +\x{1F449},42,👉,2010,People & Body,hand-single-finger,backhand index pointing right +\x{1F497},43,💗,2010,Smileys & Emotion,emotion,growing heart +\x{1F629},44,😩,2010,Smileys & Emotion,face-concerned,weary face +\x{1F4AF},45,💯,2010,Smileys & Emotion,emotion,hundred points +\x{1F339},46,🌹,2010,Animals & Nature,plant-flower,rose +\x{1F49E},47,💞,2010,Smileys & Emotion,emotion,revolving hearts +\x{1F388},48,🎈,2010,Activities,event,balloon +\x{1F499},49,💙,2010,Smileys & Emotion,emotion,blue heart +\x{1F603},50,😃,2010,Smileys & Emotion,face-smiling,grinning face with big eyes +\x{1F621},51,😡,2010,Smileys & Emotion,face-negative,pouting face +\x{1F490},52,💐,2010,Animals & Nature,plant-flower,bouquet +\x{1F61C},53,😜,2010,Smileys & Emotion,face-tongue,winking face with tongue +\x{1F648},54,🙈,2010,Smileys & Emotion,monkey-face,see-no-evil monkey +\x{1F91E},55,🤞,2016,People & Body,hand-fingers-partial,crossed fingers +\x{1F604},56,😄,2010,Smileys & Emotion,face-smiling,grinning face with smiling eyes +\x{1F924},57,🤤,2016,Smileys & Emotion,face-sleepy,drooling face +\x{1F64C},58,🙌,2010,People & Body,hands,raising hands +\x{1F92A},59,🤪,2017,Smileys & Emotion,face-tongue,zany face +\x{2763 FE0F},60,❣️,2015,Smileys & Emotion,emotion,heart exclamation +\x{1F600},61,😀,2015,Smileys & Emotion,face-smiling,grinning face +\x{1F48B},62,💋,2010,Smileys & Emotion,emotion,kiss mark +\x{1F480},63,💀,2010,Smileys & Emotion,face-negative,skull +\x{1F447},64,👇,2010,People & Body,hand-single-finger,backhand index pointing down +\x{1F494},65,💔,2010,Smileys & Emotion,emotion,broken heart +\x{1F60C},66,😌,2010,Smileys & Emotion,face-sleepy,relieved face +\x{1F493},67,💓,2010,Smileys & Emotion,emotion,beating heart +\x{1F929},68,🤩,2017,Smileys & Emotion,face-affection,star-struck +\x{1F643},69,🙃,2015,Smileys & Emotion,face-smiling,upside-down face +\x{1F62C},70,😬,2015,Smileys & Emotion,face-neutral-skeptical,grimacing face +\x{1F631},71,😱,2010,Smileys & Emotion,face-concerned,face screaming in fear +\x{1F634},72,😴,2015,Smileys & Emotion,face-sleepy,sleeping face +\x{1F92D},73,🤭,2017,Smileys & Emotion,face-hand,face with hand over mouth +\x{1F610},74,😐,2014,Smileys & Emotion,face-neutral-skeptical,neutral face +\x{1F31E},75,🌞,2015,Travel & Places,sky & weather,sun with face +\x{1F612},76,😒,2010,Smileys & Emotion,face-neutral-skeptical,unamused face +\x{1F607},77,😇,2015,Smileys & Emotion,face-smiling,smiling face with halo +\x{1F338},78,🌸,2010,Animals & Nature,plant-flower,cherry blossom +\x{1F608},79,😈,2015,Smileys & Emotion,face-negative,smiling face with horns +\x{1F3B6},80,🎶,2010,Objects,music,musical notes +\x{270C FE0F},81,✌️,2010,People & Body,hand-fingers-partial,victory hand +\x{1F38A},82,🎊,2010,Activities,event,confetti ball +\x{1F975},83,🥵,2018,Smileys & Emotion,face-unwell,hot face +\x{1F61E},84,😞,2010,Smileys & Emotion,face-concerned,disappointed face +\x{1F49A},85,💚,2010,Smileys & Emotion,emotion,green heart +\x{2600 FE0F},86,☀️,2010,Travel & Places,sky & weather,sun +\x{1F5A4},87,🖤,2016,Smileys & Emotion,emotion,black heart +\x{1F4B0},88,💰,2010,Objects,money,money bag +\x{1F61A},89,😚,2010,Smileys & Emotion,face-affection,kissing face with closed eyes +\x{1F451},90,👑,2010,Objects,clothing,crown +\x{1F381},91,🎁,2010,Activities,event,wrapped gift +\x{1F4A5},92,💥,2010,Smileys & Emotion,emotion,collision +\x{1F64B},93,🙋,2010,People & Body,person-gesture,person raising hand +\x{2639 FE0F},94,☹️,2014,Smileys & Emotion,face-concerned,frowning face +\x{1F611},95,😑,2015,Smileys & Emotion,face-neutral-skeptical,expressionless face +\x{1F974},96,🥴,2018,Smileys & Emotion,face-unwell,woozy face +\x{1F448},97,👈,2010,People & Body,hand-single-finger,backhand index pointing left +\x{1F4A9},98,💩,2010,Smileys & Emotion,face-costume,pile of poo +\x{2705},99,✅,2010,Symbols,other-symbol,check mark button +\x{1F44B},100,👋,2010,People & Body,hand-fingers-open,waving hand +\x{1F92E},101,🤮,2017,Smileys & Emotion,face-unwell,face vomiting +\x{1F624},102,😤,2010,Smileys & Emotion,face-negative,face with steam from nose +\x{1F922},103,🤢,2016,Smileys & Emotion,face-unwell,nauseated face +\x{1F31F},104,🌟,2010,Travel & Places,sky & weather,glowing star +\x{2757},105,❗,2010,Symbols,punctuation,red exclamation mark +\x{1F625},106,😥,2010,Smileys & Emotion,face-concerned,sad but relieved face +\x{1F308},107,🌈,2010,Travel & Places,sky & weather,rainbow +\x{1F49B},108,💛,2010,Smileys & Emotion,emotion,yellow heart +\x{1F61D},109,😝,2010,Smileys & Emotion,face-tongue,squinting face with tongue +\x{1F62B},110,😫,2010,Smileys & Emotion,face-concerned,tired face +\x{1F632},111,😲,2010,Smileys & Emotion,face-concerned,astonished face +\x{1F595},112,🖕,2015,People & Body,hand-single-finger,middle finger +\x{203C FE0F},113,‼️,2010,Symbols,punctuation,double exclamation mark +\x{1F534},114,🔴,2010,Symbols,geometric,red circle +\x{1F33B},115,🌻,2010,Animals & Nature,plant-flower,sunflower +\x{1F92F},116,🤯,2017,Smileys & Emotion,face-unwell,exploding head +\x{1F483},117,💃,2010,People & Body,person-activity,woman dancing +\x{1F44A},118,👊,2010,People & Body,hand-fingers-closed,oncoming fist +\x{1F92C},119,🤬,2017,Smileys & Emotion,face-negative,face with symbols on mouth +\x{1F3C3},120,🏃,2010,People & Body,person-activity,person running +\x{1F615},121,😕,2015,Smileys & Emotion,face-concerned,confused face +\x{1F441 FE0F},122,👁️,2014,People & Body,body-parts,eye +\x{26A1},123,⚡,2010,Travel & Places,sky & weather,high voltage +\x{2615},124,☕,2010,Food & Drink,drink,hot beverage +\x{1F340},125,🍀,2010,Animals & Nature,plant-other,four leaf clover +\x{1F4A6},126,💦,2010,Smileys & Emotion,emotion,sweat droplets +\x{2B50},127,⭐,2010,Travel & Places,sky & weather,star +\x{1F98B},128,🦋,2016,Animals & Nature,animal-bug,butterfly +\x{1F928},129,🤨,2017,Smileys & Emotion,face-neutral-skeptical,face with raised eyebrow +\x{1F33A},130,🌺,2010,Animals & Nature,plant-flower,hibiscus +\x{1F639},131,😹,2010,Smileys & Emotion,cat-face,cat with tears of joy +\x{1F918},132,🤘,2015,People & Body,hand-fingers-partial,sign of the horns +\x{1F337},133,🌷,2010,Animals & Nature,plant-flower,tulip +\x{1F49D},134,💝,2010,Smileys & Emotion,emotion,heart with ribbon +\x{1F4A4},135,💤,2010,Smileys & Emotion,emotion,zzz +\x{1F91D},136,🤝,2016,People & Body,hands,handshake +\x{1F430},137,🐰,2010,Animals & Nature,animal-mammal,rabbit face +\x{1F613},138,😓,2010,Smileys & Emotion,face-concerned,downcast face with sweat +\x{1F498},139,💘,2010,Smileys & Emotion,emotion,heart with arrow +\x{1F37B},140,🍻,2010,Food & Drink,drink,clinking beer mugs +\x{1F61F},141,😟,2015,Smileys & Emotion,face-concerned,worried face +\x{1F623},142,😣,2010,Smileys & Emotion,face-concerned,persevering face +\x{1F9D0},143,🧐,2017,Smileys & Emotion,face-glasses,face with monocle +\x{1F620},144,😠,2010,Smileys & Emotion,face-negative,angry face +\x{1F920},145,🤠,2016,Smileys & Emotion,face-hat,cowboy hat face +\x{1F63B},146,😻,2010,Smileys & Emotion,cat-face,smiling cat with heart-eyes +\x{1F319},147,🌙,2010,Travel & Places,sky & weather,crescent moon +\x{1F61B},148,😛,2015,Smileys & Emotion,face-tongue,face with tongue +\x{1F919},149,🤙,2016,People & Body,hand-fingers-partial,call me hand +\x{1F64A},150,🙊,2010,Smileys & Emotion,monkey-face,speak-no-evil monkey +\x{1F9E1},151,🧡,2017,Smileys & Emotion,emotion,orange heart +\x{1F921},152,🤡,2016,Smileys & Emotion,face-costume,clown face +\x{1F92B},153,🤫,2017,Smileys & Emotion,face-hand,shushing face +\x{1F33C},154,🌼,2010,Animals & Nature,plant-flower,blossom +\x{1F942},155,🥂,2016,Food & Drink,drink,clinking glasses +\x{1F637},156,😷,2010,Smileys & Emotion,face-unwell,face with medical mask +\x{1F913},157,🤓,2015,Smileys & Emotion,face-glasses,nerd face +\x{2620 FE0F},158,☠️,2015,Smileys & Emotion,face-negative,skull and crossbones +\x{1F976},159,🥶,2018,Smileys & Emotion,face-unwell,cold face +\x{1F636},160,😶,2015,Smileys & Emotion,face-neutral-skeptical,face without mouth +\x{1F616},161,😖,2010,Smileys & Emotion,face-concerned,confounded face +\x{1F3B5},162,🎵,2010,Objects,music,musical note +\x{1F6B6},163,🚶,2010,People & Body,person-activity,person walking +\x{1F619},164,😙,2015,Smileys & Emotion,face-affection,kissing face with smiling eyes +\x{1F346},165,🍆,2010,Food & Drink,food-vegetable,eggplant +\x{1F911},166,🤑,2015,Smileys & Emotion,face-tongue,money-mouth face +\x{1F485},167,💅,2010,People & Body,hand-prop,nail polish +\x{1F617},168,😗,2015,Smileys & Emotion,face-affection,kissing face +\x{1F436},169,🐶,2010,Animals & Nature,animal-mammal,dog face +\x{1F353},170,🍓,2010,Food & Drink,food-fruit,strawberry +\x{270B},171,✋,2010,People & Body,hand-fingers-open,raised hand +\x{1F445},172,👅,2010,People & Body,body-parts,tongue +\x{1F444},173,👄,2010,People & Body,body-parts,mouth +\x{1F33F},174,🌿,2010,Animals & Nature,plant-other,herb +\x{1F6A8},175,🚨,2010,Travel & Places,transport-ground,police car light +\x{27A1 FE0F},176,➡️,2010,Symbols,arrow,right arrow +\x{1F4E3},177,📣,2010,Objects,sound,megaphone +\x{1F91F},178,🤟,2017,People & Body,hand-fingers-partial,love-you gesture +\x{1F351},179,🍑,2010,Food & Drink,food-fruit,peach +\x{1F343},180,🍃,2010,Animals & Nature,plant-other,leaf fluttering in wind +\x{1F62E},181,😮,2015,Smileys & Emotion,face-concerned,face with open mouth +\x{1F48E},182,💎,2010,Objects,clothing,gem stone +\x{1F4E2},183,📢,2010,Objects,sound,loudspeaker +\x{1F331},184,🌱,2010,Animals & Nature,plant-other,seedling +\x{26A0 FE0F},185,⚠️,2010,Symbols,warning,warning +\x{1F641},186,🙁,2015,Smileys & Emotion,face-concerned,slightly frowning face +\x{1F377},187,🍷,2010,Food & Drink,drink,wine glass +\x{1F62A},188,😪,2010,Smileys & Emotion,face-sleepy,sleepy face +\x{1F31A},189,🌚,2015,Travel & Places,sky & weather,new moon face +\x{1F3C6},190,🏆,2010,Activities,award-medal,trophy +\x{1F352},191,🍒,2010,Food & Drink,food-fruit,cherries +\x{2714 FE0F},192,✔️,2010,Symbols,other-symbol,check mark +\x{1F489},193,💉,2010,Objects,medical,syringe +\x{274C},194,❌,2010,Symbols,other-symbol,cross mark +\x{1F4A2},195,💢,2010,Smileys & Emotion,emotion,anger symbol +\x{1F6D2},196,🛒,2016,Objects,household,shopping cart +\x{1F638},197,😸,2010,Smileys & Emotion,cat-face,grinning cat with smiling eyes +\x{1F43E},198,🐾,2010,Animals & Nature,animal-mammal,paw prints +\x{1F44E},199,👎,2010,People & Body,hand-fingers-closed,thumbs down +\x{1F680},200,🚀,2010,Travel & Places,transport-air,rocket +\x{1F3AF},201,🎯,2010,Activities,game,bullseye +\x{261D FE0F},202,☝️,2010,People & Body,hand-single-finger,index pointing up +\x{1F37A},203,🍺,2010,Food & Drink,drink,beer mug +\x{1F4CC},204,📌,2010,Objects,office,pushpin +\x{1F4F7},205,📷,2010,Objects,light & video,camera +\x{1F647},206,🙇,2010,People & Body,person-gesture,person bowing +\x{1F4A8},207,💨,2010,Smileys & Emotion,emotion,dashing away +\x{1F355},208,🍕,2010,Food & Drink,food-prepared,pizza +\x{1F3E0},209,🏠,2010,Travel & Places,place-building,house +\x{1F4F8},210,📸,2015,Objects,light & video,camera with flash +\x{1F407},211,🐇,2015,Animals & Nature,animal-mammal,rabbit +\x{1F6A9},212,🚩,2010,Flags,flag,triangular flag +\x{1F630},213,😰,2010,Smileys & Emotion,face-concerned,anxious face with sweat +\x{1F476},214,👶,2010,People & Body,person,baby +\x{1F30A},215,🌊,2010,Travel & Places,sky & weather,water wave +\x{1F415},216,🐕,2014,Animals & Nature,animal-mammal,dog +\x{1F4AB},217,💫,2010,Smileys & Emotion,emotion,dizzy +\x{1F635},218,😵,2010,Smileys & Emotion,face-unwell,knocked-out face +\x{1F3A4},219,🎤,2010,Objects,music,microphone +\x{1F3E1},220,🏡,2010,Travel & Places,place-building,house with garden +\x{1F940},221,🥀,2016,Animals & Nature,plant-flower,wilted flower +\x{1F927},222,🤧,2016,Smileys & Emotion,face-unwell,sneezing face +\x{1F37E},223,🍾,2015,Food & Drink,drink,bottle with popping cork +\x{1F370},224,🍰,2010,Food & Drink,food-sweet,shortcake +\x{1F341},225,🍁,2010,Animals & Nature,plant-other,maple leaf +\x{1F932},226,🤲,2017,People & Body,hands,palms up together +\x{2B07 FE0F},227,⬇️,2010,Symbols,arrow,down arrow +\x{1F446},228,👆,2010,People & Body,hand-single-finger,backhand index pointing up +\x{1F62F},229,😯,2015,Smileys & Emotion,face-concerned,hushed face +\x{270A},230,✊,2010,People & Body,hand-fingers-closed,raised fist +\x{1F48C},231,💌,2010,Smileys & Emotion,emotion,love letter +\x{2744 FE0F},232,❄️,2010,Travel & Places,sky & weather,snowflake +\x{1F4B8},233,💸,2010,Objects,money,money with wings +\x{1F9C1},234,🧁,2018,Food & Drink,food-sweet,cupcake +\x{26BD},235,⚽,2010,Activities,sport,soccer ball +\x{1F1FA 1F1F8},236,🇺🇸,2010,Flags,country-flag,flag: United States +\x{2753},237,❓,2010,Symbols,punctuation,red question mark +\x{1F57A},238,🕺,2016,People & Body,person-activity,man dancing +\x{2049 FE0F},239,⁉️,2010,Symbols,punctuation,exclamation question mark +\x{1F63A},240,😺,2010,Smileys & Emotion,cat-face,grinning cat +\x{1F4A7},241,💧,2010,Travel & Places,sky & weather,droplet +\x{1F4A3},242,💣,2010,Smileys & Emotion,emotion,bomb +\x{1F910},243,🤐,2015,Smileys & Emotion,face-neutral-skeptical,zipper-mouth face +\x{1F34E},244,🍎,2010,Food & Drink,food-fruit,red apple +\x{1F437},245,🐷,2010,Animals & Nature,animal-mammal,pig face +\x{1F425},246,🐥,2010,Animals & Nature,animal-bird,front-facing baby chick +\x{1F481},247,💁,2010,People & Body,person-gesture,person tipping hand +\x{1F4CD},248,📍,2010,Objects,office,round pushpin +\x{1F380},249,🎀,2010,Activities,event,ribbon +\x{1F645},250,🙅,2010,People & Body,person-gesture,person gesturing NO +\x{1F947},251,🥇,2016,Activities,award-medal,1st place medal +\x{1F31D},252,🌝,2015,Travel & Places,sky & weather,full moon face +\x{1F52B},253,🔫,2010,Objects,tool,water pistol +\x{260E FE0F},254,☎️,2010,Objects,phone,telephone +\x{1F431},255,🐱,2010,Animals & Nature,animal-mammal,cat face +\x{1F423},256,🐣,2010,Animals & Nature,animal-bird,hatching chick +\x{271D FE0F},257,✝️,2014,Symbols,religion,latin cross +\x{1F3A7},258,🎧,2010,Objects,music,headphone +\x{1F49F},259,💟,2010,Smileys & Emotion,emotion,heart decoration +\x{1F479},260,👹,2010,Smileys & Emotion,face-costume,ogre +\x{1F48D},261,💍,2010,Objects,clothing,ring +\x{1F37C},262,🍼,2015,Food & Drink,drink,baby bottle +\x{1F590 FE0F},263,🖐️,2014,People & Body,hand-fingers-open,hand with fingers splayed +\x{1F4A1},264,💡,2010,Objects,light & video,light bulb +\x{1F63D},265,😽,2010,Smileys & Emotion,cat-face,kissing cat +\x{1F34A},266,🍊,2010,Food & Drink,food-fruit,tangerine +\x{1F628},267,😨,2010,Smileys & Emotion,face-concerned,fearful face +\x{1F36B},268,🍫,2010,Food & Drink,food-sweet,chocolate bar +\x{1F9E2},269,🧢,2017,Objects,clothing,billed cap +\x{1F915},270,🤕,2015,Smileys & Emotion,face-unwell,face with head-bandage +\x{2618 FE0F},271,☘️,2015,Animals & Nature,plant-other,shamrock +\x{1F6AB},272,🚫,2010,Symbols,warning,prohibited +\x{1F3BC},273,🎼,2010,Objects,music,musical score +\x{1F43B},274,🐻,2010,Animals & Nature,animal-mammal,bear +\x{1F4F2},275,📲,2010,Objects,phone,mobile phone with arrow +\x{1F47B},276,👻,2010,Smileys & Emotion,face-costume,ghost +\x{1F5E3 FE0F},277,🗣️,2014,People & Body,person-symbol,speaking head +\x{1F47F},278,👿,2010,Smileys & Emotion,face-negative,angry face with horns +\x{1F9DA},279,🧚,2017,People & Body,person-fantasy,fairy +\x{1F32E},280,🌮,2015,Food & Drink,food-prepared,taco +\x{1F36D},281,🍭,2010,Food & Drink,food-sweet,lollipop +\x{1F41F},282,🐟,2010,Animals & Nature,animal-marine,fish +\x{1F438},283,🐸,2010,Animals & Nature,animal-amphibian,frog +\x{1F41D},284,🐝,2010,Animals & Nature,animal-bug,honeybee +\x{1F408},285,🐈,2014,Animals & Nature,animal-mammal,cat +\x{1F535},286,🔵,2010,Symbols,geometric,blue circle +\x{1F327 FE0F},287,🌧️,2014,Travel & Places,sky & weather,cloud with rain +\x{1F52A},288,🔪,2010,Food & Drink,dishware,kitchen knife +\x{1F627},289,😧,2015,Smileys & Emotion,face-concerned,anguished face +\x{1F304},290,🌄,2010,Travel & Places,place-other,sunrise over mountains +\x{1F63E},291,😾,2010,Smileys & Emotion,cat-face,pouting cat +\x{2708 FE0F},292,✈️,2010,Travel & Places,transport-air,airplane +\x{1F938},293,🤸,2016,People & Body,person-sport,person cartwheeling +\x{1F4F1},294,📱,2010,Objects,phone,mobile phone +\x{1F347},295,🍇,2010,Food & Drink,food-fruit,grapes +\x{1F334},296,🌴,2010,Animals & Nature,plant-other,palm tree +\x{1F422},297,🐢,2010,Animals & Nature,animal-reptile,turtle +\x{1F303},298,🌃,2010,Travel & Places,place-other,night with stars +\x{1F47D},299,👽,2010,Smileys & Emotion,face-costume,alien +\x{1F34C},300,🍌,2010,Food & Drink,food-fruit,banana +\x{1F4FA},301,📺,2010,Objects,light & video,television +\x{1F450},302,👐,2010,People & Body,hands,open hands +\x{23F0},303,⏰,2010,Travel & Places,time,alarm clock +\x{1F514},304,🔔,2010,Objects,sound,bell +\x{1F305},305,🌅,2010,Travel & Places,place-other,sunrise +\x{1F984},306,🦄,2015,Animals & Nature,animal-mammal,unicorn +\x{2B55},307,⭕,2010,Symbols,other-symbol,hollow red circle +\x{1F3A5},308,🎥,2010,Objects,light & video,movie camera +\x{25B6 FE0F},309,▶️,2010,Symbols,av-symbol,play button +\x{1F34B},310,🍋,2015,Food & Drink,food-fruit,lemon +\x{1F95A},311,🥚,2016,Food & Drink,food-prepared,egg +\x{1F4B2},312,💲,2010,Symbols,currency,heavy dollar sign +\x{1F4DA},313,📚,2010,Objects,book-paper,books +\x{1F414},314,🐔,2010,Animals & Nature,animal-bird,chicken +\x{1F3B8},315,🎸,2010,Objects,musical-instrument,guitar +\x{1F943},316,🥃,2016,Food & Drink,drink,tumbler glass +\x{1F63F},317,😿,2010,Smileys & Emotion,cat-face,crying cat +\x{1F697},318,🚗,2010,Travel & Places,transport-ground,automobile +\x{1F30E},319,🌎,2014,Travel & Places,place-map,globe showing Americas +\x{1F54A FE0F},320,🕊️,2014,Animals & Nature,animal-bird,dove +\x{1F50A},321,🔊,2010,Objects,sound,speaker high volume +\x{1F985},322,🦅,2016,Animals & Nature,animal-bird,eagle +\x{1F6BF},323,🚿,2015,Objects,household,shower +\x{1F986},324,🦆,2016,Animals & Nature,animal-bird,duck +\x{1F349},325,🍉,2010,Food & Drink,food-fruit,watermelon +\x{1F36C},326,🍬,2010,Food & Drink,food-sweet,candy +\x{1F9F8},327,🧸,2018,Activities,game,teddy bear +\x{270D FE0F},328,✍️,2014,People & Body,hand-prop,writing hand +\x{1F368},329,🍨,2010,Food & Drink,food-sweet,ice cream +\x{1F4DD},330,📝,2010,Objects,writing,memo +\x{1F91A},331,🤚,2016,People & Body,hand-fingers-open,raised back of hand +\x{1F4E9},332,📩,2010,Objects,mail,envelope with arrow +\x{1F4B5},333,💵,2010,Objects,money,dollar banknote +\x{1F47C},334,👼,2010,People & Body,person-fantasy,baby angel +\x{1F4AD},335,💭,2015,Smileys & Emotion,emotion,thought balloon +\x{1F30D},336,🌍,2014,Travel & Places,place-map,globe showing Europe-Africa +\x{2B05 FE0F},337,⬅️,2010,Symbols,arrow,left arrow +\x{26AB},338,⚫,2010,Symbols,geometric,black circle +\x{1F467},339,👧,2010,People & Body,person,girl +\x{1F3F5 FE0F},340,🏵️,2014,Animals & Nature,plant-flower,rosette +\x{1F91C},341,🤜,2016,People & Body,hand-fingers-closed,right-facing fist +\x{1F37F},342,🍿,2015,Food & Drink,food-prepared,popcorn +\x{1F9FF},343,🧿,2018,Activities,game,nazar amulet +\x{1F3C0},344,🏀,2010,Activities,sport,basketball +\x{1F34F},345,🍏,2010,Food & Drink,food-fruit,green apple +\x{1F333},346,🌳,2015,Animals & Nature,plant-other,deciduous tree +\x{1F649},347,🙉,2010,Smileys & Emotion,monkey-face,hear-no-evil monkey +\x{1F626},348,😦,2015,Smileys & Emotion,face-concerned,frowning face with open mouth +\x{26BE},349,⚾,2010,Activities,sport,baseball +\x{1F930},350,🤰,2016,People & Body,person-role,pregnant woman +\x{1F379},351,🍹,2010,Food & Drink,drink,tropical drink +\x{1F366},352,🍦,2010,Food & Drink,food-sweet,soft ice cream +\x{1F6D1},353,🛑,2016,Travel & Places,transport-ground,stop sign +\x{1F9D8},354,🧘,2017,People & Body,person-resting,person in lotus position +\x{1F354},355,🍔,2010,Food & Drink,food-prepared,hamburger +\x{1F3D6 FE0F},356,🏖️,2014,Travel & Places,place-geographic,beach with umbrella +\x{1F342},357,🍂,2010,Animals & Nature,plant-other,fallen leaf +\x{1F412},358,🐒,2010,Animals & Nature,animal-mammal,monkey +\x{1F36A},359,🍪,2010,Food & Drink,food-sweet,cookie +\x{1F640},360,🙀,2010,Smileys & Emotion,cat-face,weary cat +\x{1F357},361,🍗,2010,Food & Drink,food-prepared,poultry leg +\x{1F320},362,🌠,2010,Travel & Places,sky & weather,shooting star +\x{1F3AC},363,🎬,2010,Objects,light & video,clapper board +\x{1F335},364,🌵,2010,Animals & Nature,plant-other,cactus +\x{1F344},365,🍄,2010,Food & Drink,food-vegetable,mushroom +\x{1F410},366,🐐,2015,Animals & Nature,animal-mammal,goat +\x{1F369},367,🍩,2010,Food & Drink,food-sweet,doughnut +\x{1F981},368,🦁,2015,Animals & Nature,animal-mammal,lion +\x{1F646},369,🙆,2010,People & Body,person-gesture,person gesturing OK +\x{1F4DE},370,📞,2010,Objects,phone,telephone receiver +\x{1F478},371,👸,2010,People & Body,person-role,princess +\x{1F345},372,🍅,2010,Food & Drink,food-fruit,tomato +\x{1F40D},373,🐍,2010,Animals & Nature,animal-reptile,snake +\x{1F466},374,👦,2010,People & Body,person,boy +\x{1F4AC},375,💬,2010,Smileys & Emotion,emotion,speech balloon +\x{1F964},376,🥤,2017,Food & Drink,drink,cup with straw +\x{1F3F3 FE0F 200D 1F308},377,🏳️‍🌈,2016,Flags,flag,rainbow flag +\x{1F63C},378,😼,2010,Smileys & Emotion,cat-face,cat with wry smile +\x{1F33E},379,🌾,2010,Animals & Nature,plant-other,sheaf of rice +\x{1F9C0},380,🧀,2015,Food & Drink,food-prepared,cheese wedge +\x{2601 FE0F},381,☁️,2010,Travel & Places,sky & weather,cloud +\x{1F3AE},382,🎮,2010,Activities,game,video game +\x{1F9E0},383,🧠,2017,People & Body,body-parts,brain +\x{2614},384,☔,2010,Travel & Places,sky & weather,umbrella with rain drops +\x{1F30F},385,🌏,2010,Travel & Places,place-map,globe showing Asia-Australia +\x{1F6CC},386,🛌,2015,People & Body,person-resting,person in bed +\x{1F51D},387,🔝,2010,Symbols,arrow,TOP arrow +\x{1F309},388,🌉,2010,Travel & Places,place-other,bridge at night +\x{1F91B},389,🤛,2016,People & Body,hand-fingers-closed,left-facing fist +\x{1F912},390,🤒,2015,Smileys & Emotion,face-unwell,face with thermometer +\x{1F457},391,👗,2010,Objects,clothing,dress +\x{26AA},392,⚪,2010,Symbols,geometric,white circle +\x{1F332},393,🌲,2015,Animals & Nature,plant-other,evergreen tree +\x{2611 FE0F},394,☑️,2010,Symbols,other-symbol,check box with check +\x{1F35C},395,🍜,2010,Food & Drink,food-asian,steaming bowl +\x{1F426},396,🐦,2010,Animals & Nature,animal-bird,bird +\x{1F36F},397,🍯,2010,Food & Drink,food-sweet,honey pot +\x{1F46E},398,👮,2010,People & Body,person-role,police officer +\x{1F3C5},399,🏅,2015,Activities,award-medal,sports medal +\x{1F43C},400,🐼,2010,Animals & Nature,animal-mammal,panda +\x{1F484},401,💄,2010,Objects,clothing,lipstick +\x{1F47A},402,👺,2010,Smileys & Emotion,face-costume,goblin +\x{1F51E},403,🔞,2010,Symbols,warning,no one under eighteen +\x{1F386},404,🎆,2010,Activities,event,fireworks +\x{1F3A8},405,🎨,2010,Activities,arts & crafts,artist palette +\x{1F1E7 1F1F7},406,🇧🇷,2015,Flags,country-flag,flag: Brazil +\x{1F35E},407,🍞,2010,Food & Drink,food-prepared,bread +\x{1F387},408,🎇,2010,Activities,event,sparkler +\x{1F99C},409,🦜,2018,Animals & Nature,animal-bird,parrot +\x{1F411},410,🐑,2010,Animals & Nature,animal-mammal,ewe +\x{1F419},411,🐙,2010,Animals & Nature,animal-marine,octopus +\x{1F98D},412,🦍,2016,Animals & Nature,animal-mammal,gorilla +\x{1F1FA 1F1F2},413,🇺🇲,2015,Flags,country-flag,flag: U.S. Outlying Islands +\x{1F517},414,🔗,2010,Objects,tool,link +\x{1F4D6},415,📖,2010,Objects,book-paper,open book +\x{267B FE0F},416,♻️,2010,Symbols,other-symbol,recycling symbol +\x{1F539},417,🔹,2010,Symbols,geometric,small blue diamond +\x{1F953},418,🥓,2016,Food & Drink,food-prepared,bacon +\x{1F952},419,🥒,2016,Food & Drink,food-vegetable,cucumber +\x{1F378},420,🍸,2010,Food & Drink,drink,cocktail glass +\x{1F967},421,🥧,2017,Food & Drink,food-sweet,pie +\x{2668 FE0F},422,♨️,2010,Travel & Places,place-other,hot springs +\x{1F4BB},423,💻,2010,Objects,computer,laptop +\x{1F416},424,🐖,2015,Animals & Nature,animal-mammal,pig +\x{2694 FE0F},425,⚔️,2015,Objects,tool,crossed swords +\x{1F4C8},426,📈,2010,Objects,office,chart increasing +\x{26F1 FE0F},427,⛱️,2014,Travel & Places,sky & weather,umbrella on ground +\x{1F48A},428,💊,2010,Objects,medical,pill +\x{1F469},429,👩,2010,People & Body,person,woman +\x{1F300},430,🌀,2010,Travel & Places,sky & weather,cyclone +\x{1F486},431,💆,2010,People & Body,person-activity,person getting massage +\x{1F969},432,🥩,2017,Food & Drink,food-prepared,cut of meat +\x{1F384},433,🎄,2010,Activities,event,Christmas tree +\x{1F33D},434,🌽,2010,Food & Drink,food-vegetable,ear of corn +\x{1F925},435,🤥,2016,Smileys & Emotion,face-neutral-skeptical,lying face +\x{1F3D8 FE0F},436,🏘️,2014,Travel & Places,place-building,houses +\x{1F40E},437,🐎,2010,Animals & Nature,animal-mammal,horse +\x{1F198},438,🆘,2010,Symbols,alphanum,SOS button +\x{1F1EE 1F1F3},439,🇮🇳,2015,Flags,country-flag,flag: India +\x{31 FE0F 20E3},440,1️⃣,2010,Symbols,keycap,keycap: 1 +\x{1F56F FE0F},441,🕯️,2014,Objects,light & video,candle +\x{1F1E8 1F1E6},442,🇨🇦,2015,Flags,country-flag,flag: Canada +\x{1F48F},443,💏,2010,People & Body,family,kiss +\x{1F955},444,🥕,2016,Food & Drink,food-vegetable,carrot +\x{1F5D1 FE0F},445,🗑️,2014,Objects,office,wastebasket +\x{1F52E},446,🔮,2010,Activities,game,crystal ball +\x{1F980},447,🦀,2015,Food & Drink,food-marine,crab +\x{1F420},448,🐠,2010,Animals & Nature,animal-marine,tropical fish +\x{1F31B},449,🌛,2010,Travel & Places,sky & weather,first quarter moon face +\x{1F460},450,👠,2010,Objects,clothing,high-heeled shoe +\x{262E FE0F},451,☮️,2015,Symbols,religion,peace symbol +\x{1F413},452,🐓,2015,Animals & Nature,animal-bird,rooster +\x{1F94A},453,🥊,2016,Activities,sport,boxing glove +\x{1F1F9 1F1F7},454,🇹🇷,2015,Flags,country-flag,flag: Turkey +\x{1F6D0},455,🛐,2015,Symbols,religion,place of worship +\x{1F6AC},456,🚬,2010,Objects,other-object,cigarette +\x{1F530},457,🔰,2010,Symbols,other-symbol,Japanese symbol for beginner +\x{1F31C},458,🌜,2014,Travel & Places,sky & weather,last quarter moon face +\x{1F374},459,🍴,2010,Food & Drink,dishware,fork and knife +\x{1F954},460,🥔,2016,Food & Drink,food-vegetable,potato +\x{1F393},461,🎓,2010,Objects,clothing,graduation cap +\x{1F459},462,👙,2010,Objects,clothing,bikini +\x{1F5FF},463,🗿,2010,Objects,other-object,moai +\x{1F951},464,🥑,2016,Food & Drink,food-vegetable,avocado +\x{1F46F},465,👯,2010,People & Body,person-activity,people with bunny ears +\x{1F34D},466,🍍,2010,Food & Drink,food-fruit,pineapple +\x{26FD},467,⛽,2010,Travel & Places,transport-ground,fuel pump +\x{1F3C1},468,🏁,2010,Flags,flag,chequered flag +\x{1F442},469,👂,2010,People & Body,body-parts,ear +\x{1F98A},470,🦊,2016,Animals & Nature,animal-mammal,fox +\x{1F443},471,👃,2010,People & Body,body-parts,nose +\x{1F996},472,🦖,2017,Animals & Nature,animal-reptile,T-Rex +\x{1F434},473,🐴,2010,Animals & Nature,animal-mammal,horse face +\x{2709 FE0F},474,✉️,2010,Objects,mail,envelope +\x{1F383},475,🎃,2010,Activities,event,jack-o-lantern +\x{1F336 FE0F},476,🌶️,2014,Food & Drink,food-vegetable,hot pepper +\x{1F9A0},477,🦠,2018,Animals & Nature,animal-bug,microbe +\x{1F315},478,🌕,2010,Travel & Places,sky & weather,full moon +\x{1F4E6},479,📦,2010,Objects,mail,package +\x{1F30C},480,🌌,2010,Travel & Places,sky & weather,milky way +\x{26F3},481,⛳,2010,Activities,sport,flag in hole +\x{1F367},482,🍧,2010,Food & Drink,food-sweet,shaved ice +\x{1F35F},483,🍟,2010,Food & Drink,food-prepared,french fries +\x{26B0 FE0F},484,⚰️,2015,Objects,other-object,coffin +\x{1F3B9},485,🎹,2010,Objects,musical-instrument,musical keyboard +\x{1F43F FE0F},486,🐿️,2014,Animals & Nature,animal-mammal,chipmunk +\x{1F1F2 1F1FD},487,🇲🇽,2015,Flags,country-flag,flag: Mexico +\x{1F95E},488,🥞,2016,Food & Drink,food-prepared,pancakes +\x{32 FE0F 20E3},489,2️⃣,2010,Symbols,keycap,keycap: 2 +\x{1F463},490,👣,2010,People & Body,person-symbol,footprints +\x{1F37D FE0F},491,🍽️,2014,Food & Drink,dishware,fork and knife with plate +\x{1F95C},492,🥜,2016,Food & Drink,food-vegetable,peanuts +\x{1F573 FE0F},493,🕳️,2014,Smileys & Emotion,emotion,hole +\x{1F361},494,🍡,2010,Food & Drink,food-asian,dango +\x{2935 FE0F},495,⤵️,2010,Symbols,arrow,right arrow curving down +\x{1F9B7},496,🦷,2018,People & Body,body-parts,tooth +\x{1F6B4},497,🚴,2015,People & Body,person-sport,person biking +\x{1F35D},498,🍝,2010,Food & Drink,food-asian,spaghetti +\x{1F3BB},499,🎻,2010,Objects,musical-instrument,violin +\x{1F40A},500,🐊,2015,Animals & Nature,animal-reptile,crocodile +\x{1F356},501,🍖,2010,Food & Drink,food-prepared,meat on bone +\x{1F43A},502,🐺,2010,Animals & Nature,animal-mammal,wolf +\x{1F43D},503,🐽,2010,Animals & Nature,animal-mammal,pig nose +\x{1F6AE},504,🚮,2015,Symbols,transport-sign,litter in bin sign +\x{1F375},505,🍵,2010,Food & Drink,drink,teacup without handle +\x{1F32D},506,🌭,2015,Food & Drink,food-prepared,hot dog +\x{1F404},507,🐄,2015,Animals & Nature,animal-mammal,cow +\x{2B06 FE0F},508,⬆️,2010,Symbols,arrow,up arrow +\x{1F941},509,🥁,2016,Objects,musical-instrument,drum +\x{1F373},510,🍳,2010,Food & Drink,food-prepared,cooking +\x{1F46B},511,👫,2010,People & Body,family,woman and man holding hands +\x{231A},512,⌚,2010,Travel & Places,time,watch +\x{2666 FE0F},513,♦️,2010,Activities,game,diamond suit +\x{1F506},514,🔆,2015,Symbols,av-symbol,bright button +\x{1F433},515,🐳,2010,Animals & Nature,animal-marine,spouting whale +\x{1F32F},516,🌯,2015,Food & Drink,food-prepared,burrito +\x{1F9B4},517,🦴,2018,People & Body,body-parts,bone +\x{1F96A},518,🥪,2017,Food & Drink,food-prepared,sandwich +\x{1F983},519,🦃,2015,Animals & Nature,animal-bird,turkey +\x{1F3A3},520,🎣,2010,Activities,sport,fishing pole +\x{1F53B},521,🔻,2010,Symbols,geometric,red triangle pointed down +\x{1F400},522,🐀,2015,Animals & Nature,animal-mammal,rat +\x{1F42C},523,🐬,2010,Animals & Nature,animal-marine,dolphin +\x{1F35A},524,🍚,2010,Food & Drink,food-asian,cooked rice +\x{1F916},525,🤖,2015,Smileys & Emotion,face-costume,robot +\x{1F427},526,🐧,2010,Animals & Nature,animal-bird,penguin +\x{1F988},527,🦈,2016,Animals & Nature,animal-marine,shark +\x{1F3C4},528,🏄,2010,People & Body,person-sport,person surfing +\x{1F3CB FE0F},529,🏋️,2014,People & Body,person-sport,person lifting weights +\x{1F3C8},530,🏈,2010,Activities,sport,american football +\x{1F9EC},531,🧬,2018,Objects,science,dna +\x{1F310},532,🌐,2015,Travel & Places,place-map,globe with meridians +\x{1F50D},533,🔍,2010,Objects,light & video,magnifying glass tilted left +\x{2604 FE0F},534,☄️,2015,Travel & Places,sky & weather,comet +\x{1F4F4},535,📴,2010,Symbols,av-symbol,mobile phone off +\x{1F966},536,🥦,2017,Food & Drink,food-vegetable,broccoli +\x{1F42F},537,🐯,2010,Animals & Nature,animal-mammal,tiger face +\x{1F170 FE0F},538,🅰️,2010,Symbols,alphanum,A button (blood type) +\x{267E FE0F},539,♾️,2018,Symbols,math,infinity +\x{1F4EE},540,📮,2010,Objects,mail,postbox +\x{1F95B},541,🥛,2016,Food & Drink,drink,glass of milk +\x{1F96D},542,🥭,2018,Food & Drink,food-fruit,mango +\x{1F596},543,🖖,2015,People & Body,hand-fingers-open,vulcan salute +\x{1F41B},544,🐛,2010,Animals & Nature,animal-bug,bug +\x{1F99E},545,🦞,2018,Food & Drink,food-marine,lobster +\x{1F1EE 1F1F9},546,🇮🇹,2010,Flags,country-flag,flag: Italy +\x{1F424},547,🐤,2010,Animals & Nature,animal-bird,baby chick +\x{1F9DF},548,🧟,2017,People & Body,person-fantasy,zombie +\x{1F364},549,🍤,2010,Food & Drink,food-asian,fried shrimp +\x{1F990},550,🦐,2016,Food & Drink,food-marine,shrimp +\x{1F3AD},551,🎭,2010,Activities,arts & crafts,performing arts +\x{1F41E},552,🐞,2010,Animals & Nature,animal-bug,lady beetle +\x{1F435},553,🐵,2010,Animals & Nature,animal-mammal,monkey face +\x{1F363},554,🍣,2010,Food & Drink,food-asian,sushi +\x{1F957},555,🥗,2016,Food & Drink,food-prepared,green salad +\x{2702 FE0F},556,✂️,2010,Objects,office,scissors +\x{1F194},557,🆔,2010,Symbols,alphanum,ID button +\x{1F511},558,🔑,2010,Objects,lock,key +\x{1F474},559,👴,2010,People & Body,person,old man +\x{1F934},560,🤴,2016,People & Body,person-role,prince +\x{1F5E1 FE0F},561,🗡️,2014,Objects,tool,dagger +\x{1F475},562,👵,2010,People & Body,person,old woman +\x{1F933},563,🤳,2016,People & Body,hand-prop,selfie +\x{1F9E8},564,🧨,2018,Activities,event,firecracker +\x{2B1B},565,⬛,2010,Symbols,geometric,black large square +\x{1F464},566,👤,2010,People & Body,person-symbol,bust in silhouette +\x{1F3A9},567,🎩,2010,Objects,clothing,top hat +\x{1F519},568,🔙,2010,Symbols,arrow,BACK arrow +\x{1F96B},569,🥫,2017,Food & Drink,food-prepared,canned food +\x{1F3DE FE0F},570,🏞️,2014,Travel & Places,place-geographic,national park +\x{1F195},571,🆕,2010,Symbols,alphanum,NEW button +\x{1F950},572,🥐,2016,Food & Drink,food-prepared,croissant +\x{1F470},573,👰,2010,People & Body,person-role,person with veil +\x{2660 FE0F},574,♠️,2010,Activities,game,spade suit +\x{1F32C FE0F},575,🌬️,2014,Travel & Places,sky & weather,wind face +\x{1F4B3},576,💳,2010,Objects,money,credit card +\x{1F328 FE0F},577,🌨️,2014,Travel & Places,sky & weather,cloud with snow +\x{1F577 FE0F},578,🕷️,2014,Animals & Nature,animal-bug,spider +\x{1F1EF 1F1F5},579,🇯🇵,2010,Flags,country-flag,flag: Japan +\x{1F41A},580,🐚,2010,Animals & Nature,animal-marine,spiral shell +\x{1F306},581,🌆,2010,Travel & Places,place-other,cityscape at dusk +\x{2693},582,⚓,2010,Travel & Places,transport-water,anchor +\x{1F197},583,🆗,2010,Symbols,alphanum,OK button +\x{1F1EC 1F1E7},584,🇬🇧,2010,Flags,country-flag,flag: United Kingdom +\x{1F931},585,🤱,2017,People & Body,person-role,breast-feeding +\x{1F46D},586,👭,2015,People & Body,family,women holding hands +\x{1F987},587,🦇,2016,Animals & Nature,animal-mammal,bat +\x{2716 FE0F},588,✖️,2010,Symbols,math,multiply +\x{1F468},589,👨,2010,People & Body,person,man +\x{1F575 FE0F},590,🕵️,2014,People & Body,person-role,detective +\x{1F997},591,🦗,2017,Animals & Nature,animal-bug,cricket +"\x{1F469 200D 2764 FE0F 200D 1F48B 200D 1F468},592,👩‍❤️‍💋‍👨,2015,People & Body,family,""kiss: woman, man""" +\x{1F995},593,🦕,2017,Animals & Nature,animal-reptile,sauropod +\x{1F3F9},594,🏹,2015,Objects,tool,bow and arrow +\x{1F42E},595,🐮,2010,Animals & Nature,animal-mammal,cow face +\x{1F6B2},596,🚲,2010,Travel & Places,transport-ground,bicycle +\x{1F491},597,💑,2010,People & Body,family,couple with heart +\x{1F6CF FE0F},598,🛏️,2014,Objects,household,bed +\x{1F3CC FE0F},599,🏌️,2014,People & Body,person-sport,person golfing +\x{1F692},600,🚒,2010,Travel & Places,transport-ground,fire engine +\x{1F98E},601,🦎,2016,Animals & Nature,animal-reptile,lizard +\x{1F989},602,🦉,2016,Animals & Nature,animal-bird,owl +\x{1F402},603,🐂,2015,Animals & Nature,animal-mammal,ox +\x{1F348},604,🍈,2010,Food & Drink,food-fruit,melon +\x{1F6AD},605,🚭,2010,Symbols,warning,no smoking +\x{1F418},606,🐘,2010,Animals & Nature,animal-mammal,elephant +\x{1F699},607,🚙,2010,Travel & Places,transport-ground,sport utility vehicle +\x{1F528},608,🔨,2010,Objects,tool,hammer +\x{270F FE0F},609,✏️,2010,Objects,writing,pencil +\x{23E9},610,⏩,2010,Symbols,av-symbol,fast-forward button +\x{1F399 FE0F},611,🎙️,2014,Objects,music,studio microphone +\x{1F4C4},612,📄,2010,Objects,book-paper,page facing up +\x{1F94E},613,🥎,2018,Activities,sport,softball +\x{1F512},614,🔒,2010,Objects,lock,locked +\x{1F171 FE0F},615,🅱️,2010,Symbols,alphanum,B button (blood type) +\x{1F3B1},616,🎱,2010,Activities,game,pool 8 ball +\x{33 FE0F 20E3},617,3️⃣,2010,Symbols,keycap,keycap: 3 +\x{1F32A FE0F},618,🌪️,2014,Travel & Places,sky & weather,tornado +\x{1F9B5},619,🦵,2018,People & Body,body-parts,leg +\x{1F3CA},620,🏊,2010,People & Body,person-sport,person swimming +\x{1F6F5},621,🛵,2016,Travel & Places,transport-ground,motor scooter +\x{1F576 FE0F},622,🕶️,2014,Objects,clothing,sunglasses +\x{1F50E},623,🔎,2010,Objects,light & video,magnifying glass tilted right +\x{1F45F},624,👟,2010,Objects,clothing,running shoe +\x{1F192},625,🆒,2010,Symbols,alphanum,COOL button +\x{3030 FE0F},626,〰️,2010,Symbols,punctuation,wavy dash +\x{1F531},627,🔱,2010,Symbols,other-symbol,trident emblem +\x{1F98C},628,🦌,2016,Animals & Nature,animal-mammal,deer +\x{1F948},629,🥈,2016,Activities,award-medal,2nd place medal +\x{1F69A},630,🚚,2010,Travel & Places,transport-ground,delivery truck +\x{2648},631,♈,2010,Symbols,zodiac,Aries +\x{1F41C},632,🐜,2010,Animals & Nature,animal-bug,ant +\x{1F3B2},633,🎲,2010,Activities,game,game die +\x{1F4A0},634,💠,2010,Symbols,geometric,diamond with a dot +\x{1F95D},635,🥝,2016,Food & Drink,food-fruit,kiwi fruit +\x{1F9B6},636,🦶,2018,People & Body,body-parts,foot +\x{1F47E},637,👾,2010,Smileys & Emotion,face-costume,alien monster +\x{1F4AE},638,💮,2010,Animals & Nature,plant-flower,white flower +\x{1F991},639,🦑,2016,Food & Drink,food-marine,squid +\x{1F53A},640,🔺,2010,Symbols,geometric,red triangle pointed up +\x{1F401},641,🐁,2015,Animals & Nature,animal-mammal,mouse +\x{26C8 FE0F},642,⛈️,2014,Travel & Places,sky & weather,cloud with lightning and rain +\x{1F40C},643,🐌,2010,Animals & Nature,animal-bug,snail +\x{1F537},644,🔷,2010,Symbols,geometric,large blue diamond +\x{1F456},645,👖,2010,Objects,clothing,jeans +\x{1F6CD FE0F},646,🛍️,2014,Objects,clothing,shopping bags +\x{1F492},647,💒,2010,Travel & Places,place-building,wedding +\x{1F409},648,🐉,2015,Animals & Nature,animal-reptile,dragon +\x{1F38D},649,🎍,2010,Activities,event,pine decoration +\x{1F5DD FE0F},650,🗝️,2014,Objects,lock,old key +\x{1F455},651,👕,2010,Objects,clothing,t-shirt +\x{1F6BD},652,🚽,2010,Objects,household,toilet +\x{1F365},653,🍥,2010,Food & Drink,food-asian,fish cake with swirl +\x{1F350},654,🍐,2015,Food & Drink,food-fruit,pear +\x{1F3EB},655,🏫,2010,Travel & Places,place-building,school +\x{1F682},656,🚂,2015,Travel & Places,transport-ground,locomotive +\x{1F510},657,🔐,2010,Objects,lock,locked with key +\x{26C4},658,⛄,2010,Travel & Places,sky & weather,snowman without snow +\x{2603 FE0F},659,☃️,2014,Travel & Places,sky & weather,snowman +\x{2602 FE0F},660,☂️,2014,Travel & Places,sky & weather,umbrella +\x{23F3},661,⏳,2010,Travel & Places,time,hourglass not done +\x{26C5},662,⛅,2010,Travel & Places,sky & weather,sun behind cloud +\x{1F51C},663,🔜,2010,Symbols,arrow,SOON arrow +\x{1F963},664,🥣,2017,Food & Drink,food-prepared,bowl with spoon +\x{1F38B},665,🎋,2010,Activities,event,tanabata tree +\x{1F536},666,🔶,2010,Symbols,geometric,large orange diamond +\x{1F538},667,🔸,2010,Symbols,geometric,small orange diamond +\x{26D4},668,⛔,2010,Symbols,warning,no entry +\x{30 FE0F 20E3},669,0️⃣,2010,Symbols,keycap,keycap: 0 +\x{1F9B8},670,🦸,2018,People & Body,person-fantasy,superhero +\x{1F4FB},671,📻,2010,Objects,music,radio +\x{1F1E6 1F1F7},672,🇦🇷,2015,Flags,country-flag,flag: Argentina +\x{1F453},673,👓,2010,Objects,clothing,glasses +\x{1F949},674,🥉,2016,Activities,award-medal,3rd place medal +\x{1F405},675,🐅,2015,Animals & Nature,animal-mammal,tiger +\x{1F4CA},676,📊,2010,Objects,office,bar chart +\x{1F99D},677,🦝,2018,Animals & Nature,animal-mammal,raccoon +\x{1F6AA},678,🚪,2010,Objects,household,door +\x{1F698},679,🚘,2014,Travel & Places,transport-ground,oncoming automobile +\x{1F471},680,👱,2010,People & Body,person,person: blond hair +\x{2663 FE0F},681,♣️,2010,Activities,game,club suit +\x{1F321 FE0F},682,🌡️,2014,Travel & Places,sky & weather,thermometer +\x{1F9DC},683,🧜,2017,People & Body,person-fantasy,merperson +\x{1F3E5},684,🏥,2010,Travel & Places,place-building,hospital +\x{26F5},685,⛵,2010,Travel & Places,transport-water,sailboat +\x{1F54B},686,🕋,2015,Travel & Places,place-religious,kaaba +\x{1F4F0},687,📰,2010,Objects,book-paper,newspaper +\x{1F487},688,💇,2010,People & Body,person-activity,person getting haircut +\x{1F1E9 1F1EA},689,🇩🇪,2010,Flags,country-flag,flag: Germany +\x{1F96C},690,🥬,2018,Food & Drink,food-vegetable,leafy green +\x{1F428},691,🐨,2010,Animals & Nature,animal-mammal,koala +\x{1F9F9},692,🧹,2018,Objects,household,broom +\x{1F465},693,👥,2015,People & Body,person-symbol,busts in silhouette +\x{1F1F0 1F1F7},694,🇰🇷,2010,Flags,country-flag,flag: South Korea +\x{2B1C},695,⬜,2010,Symbols,geometric,white large square +\x{1F4C6},696,📆,2010,Objects,office,tear-off calendar +\x{1F956},697,🥖,2016,Food & Drink,food-prepared,baguette bread +\x{1F429},698,🐩,2010,Animals & Nature,animal-mammal,poodle +\x{1F93A},699,🤺,2016,People & Body,person-sport,person fencing +\x{1F6C1},700,🛁,2015,Objects,household,bathtub +\x{231B},701,⌛,2010,Travel & Places,time,hourglass done +\x{1F53D},702,🔽,2010,Symbols,av-symbol,downwards button +\x{1F549 FE0F},703,🕉️,2014,Symbols,religion,om +\x{1F372},704,🍲,2010,Food & Drink,food-prepared,pot of food +\x{1F998},705,🦘,2018,Animals & Nature,animal-mammal,kangaroo +\x{1F965},706,🥥,2017,Food & Drink,food-fruit,coconut +\x{1F6C0},707,🛀,2010,People & Body,person-resting,person taking bath +\x{1F3CD FE0F},708,🏍️,2014,Travel & Places,transport-ground,motorcycle +\x{1F5BC FE0F},709,🖼️,2014,Activities,arts & crafts,framed picture +\x{1F4C5},710,📅,2010,Objects,office,calendar +\x{1F4FF},711,📿,2015,Objects,clothing,prayer beads +\x{1F55B},712,🕛,2010,Travel & Places,time,twelve o’clock +\x{25AA FE0F},713,▪️,2010,Symbols,geometric,black small square +\x{1F311},714,🌑,2010,Travel & Places,sky & weather,new moon +\x{1F69B},715,🚛,2015,Travel & Places,transport-ground,articulated lorry +\x{1F9FA},716,🧺,2018,Objects,household,basket +\x{1F3CE FE0F},717,🏎️,2014,Travel & Places,transport-ground,racing car +\x{1F4E1},718,📡,2010,Objects,science,satellite antenna +\x{1F42D},719,🐭,2010,Animals & Nature,animal-mammal,mouse face +\x{1F5FD},720,🗽,2010,Travel & Places,place-building,Statue of Liberty +\x{1F193},721,🆓,2010,Symbols,alphanum,FREE button +\x{1F3BE},722,🎾,2010,Activities,sport,tennis +\x{1F1EB 1F1F7},723,🇫🇷,2010,Flags,country-flag,flag: France +\x{1F3D0},724,🏐,2015,Activities,sport,volleyball +\x{1F392},725,🎒,2010,Objects,clothing,backpack +\x{1F19A},726,🆚,2010,Symbols,alphanum,VS button +\x{1F30B},727,🌋,2010,Travel & Places,place-geographic,volcano +\x{1F4C9},728,📉,2010,Objects,office,chart decreasing +"\x{1F469 200D 2764 FE0F 200D 1F468},729,👩‍❤️‍👨,2015,People & Body,family,""couple with heart: woman, man""" +\x{1F3D2},730,🏒,2015,Activities,sport,ice hockey +\x{1F3D4 FE0F},731,🏔️,2014,Travel & Places,place-geographic,snow-capped mountain +\x{1F550},732,🕐,2010,Travel & Places,time,one o’clock +\x{1F999},733,🦙,2018,Animals & Nature,animal-mammal,llama +\x{1F9D9},734,🧙,2017,People & Body,person-fantasy,mage +\x{1F99F},735,🦟,2018,Animals & Nature,animal-bug,mosquito +\x{1F0CF},736,🃏,2010,Activities,game,joker +\x{1F6A2},737,🚢,2010,Travel & Places,transport-water,ship +\x{1F64D},738,🙍,2010,People & Body,person-gesture,person frowning +\x{1F4D5},739,📕,2010,Objects,book-paper,closed book +\x{1F46C},740,👬,2015,People & Body,family,men holding hands +\x{1F406},741,🐆,2015,Animals & Nature,animal-mammal,leopard +\x{1F51B},742,🔛,2010,Symbols,arrow,ON! arrow +\x{2755},743,❕,2010,Symbols,punctuation,white exclamation mark +\x{1F452},744,👒,2010,Objects,clothing,woman’s hat +\x{1F42A},745,🐪,2015,Animals & Nature,animal-mammal,camel +\x{1F95F},746,🥟,2017,Food & Drink,food-asian,dumpling +\x{2696 FE0F},747,⚖️,2015,Objects,tool,balance scale +\x{1F9FC},748,🧼,2018,Objects,household,soap +\x{1F376},749,🍶,2010,Food & Drink,drink,sake +\x{1F1E8 1F1F4},750,🇨🇴,2015,Flags,country-flag,flag: Colombia +\x{2197 FE0F},751,↗️,2010,Symbols,arrow,up-right arrow +\x{1F3AA},752,🎪,2010,Travel & Places,place-other,circus tent +\x{1F454},753,👔,2010,Objects,clothing,necktie +\x{1F1E8 1F1F3},754,🇨🇳,2010,Flags,country-flag,flag: China +\x{34 FE0F 20E3},755,4️⃣,2010,Symbols,keycap,keycap: 4 +\x{1F4CE},756,📎,2010,Objects,office,paperclip +\x{1F99A},757,🦚,2018,Animals & Nature,animal-bird,peacock +\x{1F360},758,🍠,2010,Food & Drink,food-asian,roasted sweet potato +\x{1F968},759,🥨,2017,Food & Drink,food-prepared,pretzel +\x{269C FE0F},760,⚜️,2015,Symbols,other-symbol,fleur-de-lis +\x{1F36E},761,🍮,2010,Food & Drink,food-sweet,custard +\x{1F397 FE0F},762,🎗️,2014,Activities,event,reminder ribbon +\x{1F3E9},763,🏩,2010,Travel & Places,place-building,love hotel +\x{1F403},764,🐃,2015,Animals & Nature,animal-mammal,water buffalo +\x{1F505},765,🔅,2015,Symbols,av-symbol,dim button +\x{1F1EA 1F1F8},766,🇪🇸,2010,Flags,country-flag,flag: Spain +\x{1F3F0},767,🏰,2010,Travel & Places,place-building,castle +\x{35 FE0F 20E3},768,5️⃣,2010,Symbols,keycap,keycap: 5 +\x{1F4EC},769,📬,2014,Objects,mail,open mailbox with raised flag +\x{2795},770,➕,2010,Symbols,math,plus +\x{1F58C FE0F},771,🖌️,2014,Objects,writing,paintbrush +\x{1F6E1 FE0F},772,🛡️,2014,Objects,tool,shield +"\x{1F469 200D 2764 FE0F 200D 1F48B 200D 1F469},773,👩‍❤️‍💋‍👩,2015,People & Body,family,""kiss: woman, woman""" +\x{1F4DB},774,📛,2010,Symbols,other-symbol,name badge +\x{1F40F},775,🐏,2015,Animals & Nature,animal-mammal,ram +\x{1F3BA},776,🎺,2010,Objects,musical-instrument,trumpet +\x{1F54C},777,🕌,2015,Travel & Places,place-religious,mosque +\x{1F40B},778,🐋,2015,Animals & Nature,animal-marine,whale +\x{1F94B},779,🥋,2016,Activities,sport,martial arts uniform +\x{1F432},780,🐲,2010,Animals & Nature,animal-reptile,dragon face +\x{274E},781,❎,2010,Symbols,other-symbol,cross mark button +\x{1F3AB},782,🎫,2010,Activities,event,ticket +\x{1F4E8},783,📨,2010,Objects,mail,incoming envelope +\x{26EA},784,⛪,2010,Travel & Places,place-religious,church +\x{1F992},785,🦒,2017,Animals & Nature,animal-mammal,giraffe +\x{1F3A1},786,🎡,2010,Travel & Places,place-other,ferris wheel +\x{1F9F1},787,🧱,2018,Travel & Places,place-building,brick +\x{1F3B7},788,🎷,2010,Objects,musical-instrument,saxophone +\x{1F691},789,🚑,2010,Travel & Places,transport-ground,ambulance +\x{1F3DD FE0F},790,🏝️,2014,Travel & Places,place-geographic,desert island +\x{1F693},791,🚓,2010,Travel & Places,transport-ground,police car +\x{1F683},792,🚃,2010,Travel & Places,transport-ground,railway car +\x{1F3C7},793,🏇,2015,People & Body,person-sport,horse racing +\x{1F307},794,🌇,2010,Travel & Places,place-other,sunset +\x{1F64E},795,🙎,2010,People & Body,person-gesture,person pouting +\x{1F68C},796,🚌,2010,Travel & Places,transport-ground,bus +\x{1F4B6},797,💶,2015,Objects,money,euro banknote +\x{1F69C},798,🚜,2015,Travel & Places,transport-ground,tractor +\x{1F330},799,🌰,2010,Food & Drink,food-vegetable,chestnut +\x{1F35B},800,🍛,2010,Food & Drink,food-asian,curry rice +\x{1F4B4},801,💴,2010,Objects,money,yen banknote +\x{1F45B},802,👛,2010,Objects,clothing,purse +\x{1F9D3},803,🧓,2017,People & Body,person,older person +\x{1F97E},804,🥾,2018,Objects,clothing,hiking boot +\x{1F42B},805,🐫,2010,Animals & Nature,animal-mammal,two-hump camel +\x{1F962},806,🥢,2017,Food & Drink,dishware,chopsticks +\x{1F9E4},807,🧤,2017,Objects,clothing,gloves +\x{1F694},808,🚔,2014,Travel & Places,transport-ground,oncoming police car +\x{1F3B0},809,🎰,2010,Activities,game,slot machine +\x{1F9D4},810,🧔,2017,People & Body,person,person: beard +\x{1F96F},811,🥯,2018,Food & Drink,food-prepared,bagel +\x{2796},812,➖,2010,Symbols,math,minus +\x{1F439},813,🐹,2010,Animals & Nature,animal-mammal,hamster +\x{1F4FD FE0F},814,📽️,2014,Objects,light & video,film projector +\x{1F982},815,🦂,2015,Animals & Nature,animal-bug,scorpion +\x{1F518},816,🔘,2010,Symbols,geometric,radio button +\x{1F504},817,🔄,2015,Symbols,arrow,counterclockwise arrows button +\x{1F4E5},818,📥,2010,Objects,mail,inbox tray +\x{1F4F9},819,📹,2010,Objects,light & video,video camera +\x{1F6EB},820,🛫,2015,Travel & Places,transport-air,airplane departure +\x{1F4CF},821,📏,2010,Objects,office,straight ruler +\x{1F1EE 1F1F1},822,🇮🇱,2015,Flags,country-flag,flag: Israel +\x{1F3A0},823,🎠,2010,Travel & Places,place-other,carousel horse +\x{1F199},824,🆙,2010,Symbols,alphanum,UP! button +\x{1F488},825,💈,2010,Travel & Places,place-other,barber pole +\x{1F516},826,🔖,2010,Objects,book-paper,bookmark +\x{1F1E6 1F1FA},827,🇦🇺,2015,Flags,country-flag,flag: Australia +\x{1F1EA 1F1EC},828,🇪🇬,2015,Flags,country-flag,flag: Egypt +\x{1F371},829,🍱,2010,Food & Drink,food-asian,bento box +\x{1F55C},830,🕜,2014,Travel & Places,time,one-thirty +\x{1F3D5 FE0F},831,🏕️,2014,Travel & Places,place-geographic,camping +\x{1F362},832,🍢,2010,Food & Drink,food-asian,oden +\x{1F3E2},833,🏢,2010,Travel & Places,place-building,office building +\x{1F50C},834,🔌,2010,Objects,computer,electric plug +\x{1F994},835,🦔,2017,Animals & Nature,animal-mammal,hedgehog +\x{1F3F4 200D 2620 FE0F},836,🏴‍☠️,2018,Flags,flag,pirate flag +\x{1F6F8},837,🛸,2017,Travel & Places,transport-air,flying saucer +\x{1F574 FE0F},838,🕴️,2014,People & Body,person-activity,person in suit levitating +\x{1F935},839,🤵,2016,People & Body,person-role,person in tuxedo +\x{1F45E},840,👞,2010,Objects,clothing,man’s shoe +\x{1F50B},841,🔋,2010,Objects,computer,battery +\x{1F3DC FE0F},842,🏜️,2014,Travel & Places,place-geographic,desert +\x{26D3 FE0F},843,⛓️,2014,Objects,tool,chains +\x{26CF FE0F},844,⛏️,2014,Objects,tool,pick +\x{1F1E6 1F1EA},845,🇦🇪,2015,Flags,country-flag,flag: United Arab Emirates +\x{1F1E8 1F1F1},846,🇨🇱,2015,Flags,country-flag,flag: Chile +\x{25FE},847,◾,2010,Symbols,geometric,black medium-small square +\x{23EF FE0F},848,⏯️,2015,Symbols,av-symbol,play or pause button +\x{1F45C},849,👜,2010,Objects,clothing,handbag +\x{1F1F5 1F1F0},850,🇵🇰,2015,Flags,country-flag,flag: Pakistan +\x{1F1FB 1F1EA},851,🇻🇪,2015,Flags,country-flag,flag: Venezuela +\x{1F5D3 FE0F},852,🗓️,2014,Objects,office,spiral calendar +\x{1F6A7},853,🚧,2010,Travel & Places,transport-ground,construction +\x{264B},854,♋,2010,Symbols,zodiac,Cancer +\x{1F3EE},855,🏮,2010,Objects,light & video,red paper lantern +\x{1F421},856,🐡,2010,Animals & Nature,animal-marine,blowfish +\x{1F458},857,👘,2010,Objects,clothing,kimono +\x{1F6F9},858,🛹,2018,Travel & Places,transport-ground,skateboard +\x{1F1F5 1F1F8},859,🇵🇸,2015,Flags,country-flag,flag: Palestinian Territories +\x{2649},860,♉,2010,Symbols,zodiac,Taurus +\x{1F6A6},861,🚦,2015,Travel & Places,transport-ground,vertical traffic light +\x{1F9E9},862,🧩,2018,Activities,game,puzzle piece +\x{1F6BA},863,🚺,2010,Symbols,transport-sign,women’s room +\x{1F944},864,🥄,2016,Food & Drink,dishware,spoon +\x{1F9DB},865,🧛,2017,People & Body,person-fantasy,vampire +\x{1F5FB},866,🗻,2010,Travel & Places,place-geographic,mount fuji +\x{2650},867,♐,2010,Symbols,zodiac,Sagittarius +\x{1F9B9},868,🦹,2018,People & Body,person-fantasy,supervillain +\x{1F1F5 1F1ED},869,🇵🇭,2015,Flags,country-flag,flag: Philippines +\x{2734 FE0F},870,✴️,2010,Symbols,other-symbol,eight-pointed star +\x{1F3E8},871,🏨,2010,Travel & Places,place-building,hotel +\x{2747 FE0F},872,❇️,2010,Symbols,other-symbol,sparkle +\x{1F3C9},873,🏉,2015,Activities,sport,rugby football +\x{1F99B},874,🦛,2018,Animals & Nature,animal-mammal,hippopotamus +\x{1F6E3 FE0F},875,🛣️,2014,Travel & Places,transport-ground,motorway +\x{1F578 FE0F},876,🕸️,2014,Animals & Nature,animal-bug,spider web +\x{1F39F FE0F},877,🎟️,2014,Activities,event,admission tickets +\x{1F4BC},878,💼,2010,Objects,office,briefcase +\x{1F6F4},879,🛴,2016,Travel & Places,transport-ground,kick scooter +\x{1F4D8},880,📘,2010,Objects,book-paper,blue book +\x{1F9E6},881,🧦,2017,Objects,clothing,socks +\x{1F958},882,🥘,2016,Food & Drink,food-prepared,shallow pan of food +\x{1F1F5 1F1F7},883,🇵🇷,2015,Flags,country-flag,flag: Puerto Rico +\x{1F939},884,🤹,2016,People & Body,person-sport,person juggling +\x{264A},885,♊,2010,Symbols,zodiac,Gemini +\x{1F324 FE0F},886,🌤️,2014,Travel & Places,sky & weather,sun behind small cloud +\x{1F681},887,🚁,2015,Travel & Places,transport-air,helicopter +\x{1F513},888,🔓,2010,Objects,lock,unlocked +\x{1F3F4},889,🏴,2015,Flags,flag,black flag +\x{1F4BF},890,💿,2010,Objects,computer,optical disk +\x{1F993},891,🦓,2017,Animals & Nature,animal-mammal,zebra +\x{1F4DC},892,📜,2010,Objects,book-paper,scroll +\x{1F477},893,👷,2010,People & Body,person-role,construction worker +\x{1F1F8 1F1E6},894,🇸🇦,2015,Flags,country-flag,flag: Saudi Arabia +\x{26F9 FE0F},895,⛹️,2014,People & Body,person-sport,person bouncing ball +\x{1F6A3},896,🚣,2015,People & Body,person-sport,person rowing boat +\x{1F469 200D 1F4BB},897,👩‍💻,2016,People & Body,person-role,woman technologist +\x{2199 FE0F},898,↙️,2010,Symbols,arrow,down-left arrow +\x{26F7 FE0F},899,⛷️,2014,People & Body,person-sport,skier +\x{1F9D6},900,🧖,2017,People & Body,person-activity,person in steamy room +\x{1F473},901,👳,2010,People & Body,person-role,person wearing turban +\x{1F38E},902,🎎,2010,Activities,event,Japanese dolls +\x{3297 FE0F},903,㊗️,2010,Symbols,alphanum,Japanese “congratulations” button +\x{1F6B9},904,🚹,2010,Symbols,transport-sign,men’s room +\x{3299 FE0F},905,㊙️,2010,Symbols,alphanum,Japanese “secret” button +\x{1F469 200D 1F373},906,👩‍🍳,2016,People & Body,person-role,woman cook +\x{26FA},907,⛺,2010,Travel & Places,place-other,tent +\x{2198 FE0F},908,↘️,2010,Symbols,arrow,down-right arrow +\x{1F5DE FE0F},909,🗞️,2014,Objects,book-paper,rolled-up newspaper +\x{1F17E FE0F},910,🅾️,2010,Symbols,alphanum,O button (blood type) +\x{1F385},911,🎅,2010,People & Body,person-fantasy,Santa Claus +\x{1F9C2},912,🧂,2018,Food & Drink,food-prepared,salt +\x{37 FE0F 20E3},913,7️⃣,2010,Symbols,keycap,keycap: 7 +\x{1F1F5 1F1EA},914,🇵🇪,2015,Flags,country-flag,flag: Peru +\x{1F690},915,🚐,2015,Travel & Places,transport-ground,minibus +\x{1F1EE 1F1E9},916,🇮🇩,2015,Flags,country-flag,flag: Indonesia +\x{1F5A5 FE0F},917,🖥️,2014,Objects,computer,desktop computer +\x{2692 FE0F},918,⚒️,2015,Objects,tool,hammer and pick +\x{1F3CF},919,🏏,2015,Activities,sport,cricket game +\x{1F4C0},920,📀,2010,Objects,computer,dvd +\x{1F390},921,🎐,2010,Activities,event,wind chime +\x{1F9A2},922,🦢,2018,Animals & Nature,animal-bird,swan +\x{1F314},923,🌔,2010,Travel & Places,sky & weather,waxing gibbous moon +\x{36 FE0F 20E3},924,6️⃣,2010,Symbols,keycap,keycap: 6 +\x{1F1E6 1F1F9},925,🇦🇹,2015,Flags,country-flag,flag: Austria +\x{1F5FC},926,🗼,2010,Travel & Places,place-building,Tokyo tower +\x{262F FE0F},927,☯️,2014,Symbols,religion,yin yang +\x{1F312},928,🌒,2015,Travel & Places,sky & weather,waxing crescent moon +\x{1F9DE},929,🧞,2017,People & Body,person-fantasy,genie +\x{1F552},930,🕒,2010,Travel & Places,time,three o’clock +\x{1F3B3},931,🎳,2010,Activities,sport,bowling +\x{1F3A2},932,🎢,2010,Travel & Places,place-other,roller coaster +\x{1F51F},933,🔟,2010,Symbols,keycap,keycap: 10 +\x{2194 FE0F},934,↔️,2010,Symbols,arrow,left-right arrow +\x{1F468 200D 1F373},935,👨‍🍳,2016,People & Body,person-role,man cook +\x{23EC},936,⏬,2010,Symbols,av-symbol,fast down button +\x{1F9F5},937,🧵,2018,Activities,arts & crafts,thread +\x{1F6B5},938,🚵,2015,People & Body,person-sport,person mountain biking +\x{1F9D2},939,🧒,2017,People & Body,person,child +\x{24C2 FE0F},940,Ⓜ️,2010,Symbols,alphanum,circled M +\x{264C},941,♌,2010,Symbols,zodiac,Leo +\x{1F469 200D 1F393},942,👩‍🎓,2016,People & Body,person-role,woman student +\x{1F9EA},943,🧪,2018,Objects,science,test tube +\x{1F695},944,🚕,2010,Travel & Places,transport-ground,taxi +\x{1F3F3 FE0F},945,🏳️,2014,Flags,flag,white flag +\x{1F1F9 1F1ED},946,🇹🇭,2015,Flags,country-flag,flag: Thailand +\x{1F1FF 1F1E6},947,🇿🇦,2015,Flags,country-flag,flag: South Africa +\x{2733 FE0F},948,✳️,2010,Symbols,other-symbol,eight-spoked asterisk +\x{1F9FD},949,🧽,2018,Objects,household,sponge +"\x{1F468 200D 2764 FE0F 200D 1F48B 200D 1F468},950,👨‍❤️‍💋‍👨,2015,People & Body,family,""kiss: man, man""" +\x{26F2},951,⛲,2010,Travel & Places,place-other,fountain +\x{1F3E6},952,🏦,2010,Travel & Places,place-building,bank +\x{1F1F8 1F1EA},953,🇸🇪,2015,Flags,country-flag,flag: Sweden +\x{2622 FE0F},954,☢️,2015,Symbols,warning,radioactive +\x{1F45A},955,👚,2010,Objects,clothing,woman’s clothes +\x{1F4CB},956,📋,2010,Objects,office,clipboard +\x{1F329 FE0F},957,🌩️,2014,Travel & Places,sky & weather,cloud with lightning +\x{2652},958,♒,2010,Symbols,zodiac,Aquarius +\x{1F318},959,🌘,2015,Travel & Places,sky & weather,waning crescent moon +\x{1F417},960,🐗,2010,Animals & Nature,animal-mammal,boar +\x{1F4E0},961,📠,2010,Objects,phone,fax machine +\x{1F5F3 FE0F},962,🗳️,2014,Objects,mail,ballot box with ballot +\x{1F93C},963,🤼,2016,People & Body,person-sport,people wrestling +\x{303D FE0F},964,〽️,2010,Symbols,other-symbol,part alternation mark +\x{1F469 200D 2695 FE0F},965,👩‍⚕️,2016,People & Body,person-role,woman health worker +\x{1F1F7 1F1FA},966,🇷🇺,2010,Flags,country-flag,flag: Russia +\x{264F},967,♏,2010,Symbols,zodiac,Scorpio +\x{26F0 FE0F},968,⛰️,2014,Travel & Places,place-geographic,mountain +\x{1F9F3},969,🧳,2018,Travel & Places,hotel,luggage +\x{1F9F6},970,🧶,2018,Activities,arts & crafts,yarn +\x{1F4E7},971,📧,2010,Objects,mail,e-mail +\x{1F3C2},972,🏂,2010,People & Body,person-sport,snowboarder +\x{1F1F5 1F1F9},973,🇵🇹,2015,Flags,country-flag,flag: Portugal +\x{1F462},974,👢,2010,Objects,clothing,woman’s boot +\x{1F945},975,🥅,2016,Activities,sport,goal net +\x{1F359},976,🍙,2010,Food & Drink,food-asian,rice ball +\x{1F17F FE0F},977,🅿️,2010,Symbols,alphanum,P button +\x{264E},978,♎,2010,Symbols,zodiac,Libra +\x{1F52F},979,🔯,2010,Symbols,religion,dotted six-pointed star +"\x{1F469 200D 2764 FE0F 200D 1F469},980,👩‍❤️‍👩,2015,People & Body,family,""couple with heart: woman, woman""" +\x{1F93E},981,🤾,2016,People & Body,person-sport,person playing handball +\x{1F6CB FE0F},982,🛋️,2014,Objects,household,couch and lamp +\x{1F1F3 1F1EC},983,🇳🇬,2015,Flags,country-flag,flag: Nigeria +\x{264D},984,♍,2010,Symbols,zodiac,Virgo +\x{1F1F5 1F1F1},985,🇵🇱,2015,Flags,country-flag,flag: Poland +\x{1F4EF},986,📯,2015,Objects,sound,postal horn +\x{25C0 FE0F},987,◀️,2010,Symbols,av-symbol,reverse button +\x{1F1E9 1F1FF},988,🇩🇿,2015,Flags,country-flag,flag: Algeria +\x{1F313},989,🌓,2010,Travel & Places,sky & weather,first quarter moon +\x{1F9FB},990,🧻,2018,Objects,household,roll of paper +\x{1F1EE 1F1EA},991,🇮🇪,2015,Flags,country-flag,flag: Ireland +\x{1F501},992,🔁,2015,Symbols,av-symbol,repeat button +\x{39 FE0F 20E3},993,9️⃣,2010,Symbols,keycap,keycap: 9 +\x{1F3BD},994,🎽,2010,Activities,sport,running shirt +\x{1F9E3},995,🧣,2017,Objects,clothing,scarf +\x{1F468 200D 1F4BB},996,👨‍💻,2016,People & Body,person-role,man technologist +\x{1F9D7},997,🧗,2017,People & Body,person-activity,person climbing +\x{1F3B4},998,🎴,2010,Activities,game,flower playing cards +\x{1F1F2 1F1E6},999,🇲🇦,2015,Flags,country-flag,flag: Morocco +\x{2653},1000,♓,2010,Symbols,zodiac,Pisces +\x{1F4D7},1001,📗,2010,Objects,book-paper,green book +\x{262A FE0F},1002,☪️,2014,Symbols,religion,star and crescent +\x{2712 FE0F},1003,✒️,2010,Objects,writing,black nib +\x{1F46A},1004,👪,2010,People & Body,family,family +\x{2754},1005,❔,2010,Symbols,punctuation,white question mark +\x{1F51A},1006,🔚,2010,Symbols,arrow,END arrow +\x{38 FE0F 20E3},1007,8️⃣,2010,Symbols,keycap,keycap: 8 +\x{1F4D9},1008,📙,2010,Objects,book-paper,orange book +\x{2721 FE0F},1009,✡️,2014,Symbols,religion,star of David +\x{1F9D5},1010,🧕,2017,People & Body,person-role,woman with headscarf +\x{1F3D3},1011,🏓,2015,Activities,sport,ping pong +\x{25AB FE0F},1012,▫️,2010,Symbols,geometric,white small square +\x{2934 FE0F},1013,⤴️,2010,Symbols,arrow,right arrow curving up +\x{2699 FE0F},1014,⚙️,2015,Objects,tool,gear +\x{1F9F2},1015,🧲,2018,Objects,tool,magnet +\x{1F4B9},1016,💹,2010,Objects,money,chart increasing with yen +\x{1F4B7},1017,💷,2015,Objects,money,pound banknote +\x{25FD},1018,◽,2010,Symbols,geometric,white medium-small square +\x{1F4C3},1019,📃,2010,Objects,book-paper,page with curl +\x{1F3E7},1020,🏧,2010,Symbols,transport-sign,ATM sign +\x{1F1F1 1F1F7},1021,🇱🇷,2015,Flags,country-flag,flag: Liberia +\x{1F959},1022,🥙,2016,Food & Drink,food-prepared,stuffed flatbread +\x{27B0},1023,➰,2010,Symbols,other-symbol,curly loop +\x{1F316},1024,🌖,2015,Travel & Places,sky & weather,waning gibbous moon +\x{1F317},1025,🌗,2015,Travel & Places,sky & weather,last quarter moon +\x{2139 FE0F},1026,ℹ️,2010,Symbols,alphanum,information +\x{1F302},1027,🌂,2010,Travel & Places,sky & weather,closed umbrella +\x{1F587 FE0F},1028,🖇️,2014,Objects,office,linked paperclips +\x{1F3DF FE0F},1029,🏟️,2014,Travel & Places,place-building,stadium +\x{1F509},1030,🔉,2015,Objects,sound,speaker medium volume +\x{1F38C},1031,🎌,2010,Flags,flag,crossed flags +\x{1F1EA 1F1E8},1032,🇪🇨,2015,Flags,country-flag,flag: Ecuador +\x{1F4E4},1033,📤,2010,Objects,mail,outbox tray +\x{1F39E FE0F},1034,🎞️,2014,Objects,light & video,film frames +\x{1F004},1035,🀄,2010,Activities,game,mahjong red dragon +\x{1F326 FE0F},1036,🌦️,2014,Travel & Places,sky & weather,sun behind rain cloud +\x{1F52D},1037,🔭,2015,Objects,science,telescope +\x{1F6B0},1038,🚰,2015,Symbols,transport-sign,potable water +\x{1F9D1},1039,🧑,2017,People & Body,person,person +\x{1F4D2},1040,📒,2010,Objects,book-paper,ledger +\x{1F1EE 1F1F6},1041,🇮🇶,2015,Flags,country-flag,flag: Iraq +\x{1F32B FE0F},1042,🌫️,2014,Travel & Places,sky & weather,fog +\x{1F9E7},1043,🧧,2018,Activities,event,red envelope +\x{1F98F},1044,🦏,2016,Animals & Nature,animal-mammal,rhinoceros +\x{267F},1045,♿,2010,Symbols,transport-sign,wheelchair symbol +\x{1F3BF},1046,🎿,2010,Activities,sport,skis +\x{1F469 200D 1F3EB},1047,👩‍🏫,2016,People & Body,person-role,woman teacher +\x{1F358},1048,🍘,2010,Food & Drink,food-asian,rice cracker +\x{1F1EF 1F1F2},1049,🇯🇲,2015,Flags,country-flag,flag: Jamaica +\x{23F1 FE0F},1050,⏱️,2015,Travel & Places,time,stopwatch +\x{1F1F3 1F1F1},1051,🇳🇱,2015,Flags,country-flag,flag: Netherlands +\x{1F396 FE0F},1052,🎖️,2014,Activities,award-medal,military medal +\x{1F3EF},1053,🏯,2010,Travel & Places,place-building,Japanese castle +\x{1F1EC 1F1F7},1054,🇬🇷,2015,Flags,country-flag,flag: Greece +\x{1F532},1055,🔲,2010,Symbols,geometric,black square button +\x{1F551},1056,🕑,2010,Travel & Places,time,two o’clock +\x{1F1FE 1F1EA},1057,🇾🇪,2015,Flags,country-flag,flag: Yemen +\x{1F961},1058,🥡,2017,Food & Drink,food-asian,takeout box +"\x{1F468 200D 2764 FE0F 200D 1F468},1059,👨‍❤️‍👨,2015,People & Body,family,""couple with heart: man, man""" +\x{1F469 200D 1F9B0},1060,👩‍🦰,2018,People & Body,person,woman: red hair +\x{1F4BA},1061,💺,2010,Travel & Places,transport-air,seat +\x{1F1EA 1F1FA},1062,🇪🇺,2015,Flags,country-flag,flag: European Union +\x{1F508},1063,🔈,2014,Objects,sound,speaker low volume +\x{2651},1064,♑,2010,Symbols,zodiac,Capricorn +\x{1F9F4},1065,🧴,2018,Objects,household,lotion bottle +\x{1F96E},1066,🥮,2018,Food & Drink,food-asian,moon cake +\x{1F527},1067,🔧,2010,Objects,tool,wrench +\x{25FC FE0F},1068,◼️,2010,Symbols,geometric,black medium square +\x{1F6EC},1069,🛬,2015,Travel & Places,transport-air,airplane arrival +\x{1F5E8 FE0F},1070,🗨️,2015,Smileys & Emotion,emotion,left speech bubble +\x{1F391},1071,🎑,2010,Activities,event,moon viewing ceremony +\x{1F3F4 E0067 E0062 E0073 E0063 E0074 E007F},1072,🏴󠁧󠁢󠁳󠁣󠁴󠁿,2017,Flags,subdivision-flag,flag: Scotland +\x{1F6A4},1073,🚤,2010,Travel & Places,transport-water,speedboat +\x{1F4D0},1074,📐,2010,Objects,office,triangular ruler +\x{1F39A FE0F},1075,🎚️,2014,Objects,music,level slider +\x{1F4D3},1076,📓,2010,Objects,book-paper,notebook +\x{1F1E7 1F1EA},1077,🇧🇪,2015,Flags,country-flag,flag: Belgium +\x{1F1FA 1F1E6},1078,🇺🇦,2015,Flags,country-flag,flag: Ukraine +\x{1F38F},1079,🎏,2010,Activities,event,carp streamer +\x{1F3F7 FE0F},1080,🏷️,2014,Objects,book-paper,label +\x{1F3D9 FE0F},1081,🏙️,2014,Travel & Places,place-other,cityscape +\x{23EA},1082,⏪,2010,Symbols,av-symbol,fast reverse button +\x{1F3EA},1083,🏪,2010,Travel & Places,place-building,convenience store +\x{1F58D FE0F},1084,🖍️,2014,Objects,writing,crayon +\x{2623 FE0F},1085,☣️,2015,Symbols,warning,biohazard +\x{1F9DD},1086,🧝,2017,People & Body,person-fantasy,elf +\x{1F1E8 1F1FA},1087,🇨🇺,2015,Flags,country-flag,flag: Cuba +\x{1F686},1088,🚆,2015,Travel & Places,transport-ground,train +\x{1F482},1089,💂,2010,People & Body,person-role,guard +\x{1F9E5},1090,🧥,2017,Objects,clothing,coat +\x{26D1 FE0F},1091,⛑️,2014,Objects,clothing,rescue worker’s helmet +\x{1F6F6},1092,🛶,2016,Travel & Places,transport-water,canoe +\x{1F515},1093,🔕,2015,Objects,sound,bell with slash +\x{1F3F4 E0067 E0062 E0065 E006E E0067 E007F},1094,🏴󠁧󠁢󠁥󠁮󠁧󠁿,2017,Flags,subdivision-flag,flag: England +\x{1F6F0 FE0F},1095,🛰️,2014,Travel & Places,transport-air,satellite +\x{1F4FC},1096,📼,2010,Objects,light & video,videocassette +\x{1F507},1097,🔇,2015,Objects,sound,muted speaker +\x{1F3F8},1098,🏸,2015,Activities,sport,badminton +\x{1F58A FE0F},1099,🖊️,2014,Objects,writing,pen +\x{1F4BD},1100,💽,2010,Objects,computer,computer disk +\x{1F1EC 1F1ED},1101,🇬🇭,2015,Flags,country-flag,flag: Ghana +\x{1F9A1},1102,🦡,2018,Animals & Nature,animal-mammal,badger +\x{1F301},1103,🌁,2010,Travel & Places,place-other,foggy +\x{1F4D4},1104,📔,2010,Objects,book-paper,notebook with decorative cover +\x{1F58B FE0F},1105,🖋️,2014,Objects,writing,fountain pen +\x{1F684},1106,🚄,2010,Travel & Places,transport-ground,high-speed train +\x{1F468 200D 2695 FE0F},1107,👨‍⚕️,2016,People & Body,person-role,man health worker +\x{1F4F6},1108,📶,2010,Symbols,av-symbol,antenna bars +\x{1F6BC},1109,🚼,2010,Symbols,transport-sign,baby symbol +\x{1F526},1110,🔦,2010,Objects,light & video,flashlight +\x{1F685},1111,🚅,2010,Travel & Places,transport-ground,bullet train +\x{1F251},1112,🉑,2010,Symbols,alphanum,Japanese “acceptable” button +\x{1F6E9 FE0F},1113,🛩️,2014,Travel & Places,transport-air,small airplane +\x{1F9FE},1114,🧾,2018,Objects,money,receipt +\x{1F469 200D 1F3A4},1115,👩‍🎤,2016,People & Body,person-role,woman singer +\x{1F1E8 1F1ED},1116,🇨🇭,2015,Flags,country-flag,flag: Switzerland +\x{1F6E2 FE0F},1117,🛢️,2014,Travel & Places,transport-ground,oil drum +\x{26E9 FE0F},1118,⛩️,2014,Travel & Places,place-religious,shinto shrine +\x{1F9ED},1119,🧭,2018,Travel & Places,place-map,compass +\x{1F553},1120,🕓,2010,Travel & Places,time,four o’clock +\x{1F696},1121,🚖,2015,Travel & Places,transport-ground,oncoming taxi +\x{1F97D},1122,🥽,2018,Objects,clothing,goggles +\x{1F4D1},1123,📑,2010,Objects,book-paper,bookmark tabs +\x{1F468 200D 1F393},1124,👨‍🎓,2016,People & Body,person-role,man student +\x{1F559},1125,🕙,2010,Travel & Places,time,ten o’clock +\x{1F93D},1126,🤽,2016,People & Body,person-sport,person playing water polo +"\x{1F468 200D 1F469 200D 1F467 200D 1F466},1127,👨‍👩‍👧‍👦,2015,People & Body,family,""family: man, woman, girl, boy""" +\x{1F469 200D 1F33E},1128,👩‍🌾,2016,People & Body,person-role,woman farmer +\x{1F52C},1129,🔬,2015,Objects,science,microscope +\x{1F6B8},1130,🚸,2015,Symbols,warning,children crossing +\x{265F FE0F},1131,♟️,2018,Activities,game,chess pawn +\x{1F3A6},1132,🎦,2010,Symbols,av-symbol,cinema +\x{1F468 200D 1F3EB},1133,👨‍🏫,2016,People & Body,person-role,man teacher +\x{1F1F1 1F1E7},1134,🇱🇧,2015,Flags,country-flag,flag: Lebanon +\x{1F5FE},1135,🗾,2010,Travel & Places,place-map,map of Japan +\x{1F53C},1136,🔼,2010,Symbols,av-symbol,upwards button +\x{1F558},1137,🕘,2010,Travel & Places,time,nine o’clock +\x{1F1E6 1F1F2},1138,🇦🇲,2015,Flags,country-flag,flag: Armenia +\x{1F1E9 1F1F4},1139,🇩🇴,2015,Flags,country-flag,flag: Dominican Republic +\x{1F461},1140,👡,2010,Objects,clothing,woman’s sandal +\x{1F4C1},1141,📁,2010,Objects,office,file folder +\x{1F325 FE0F},1142,🌥️,2014,Travel & Places,sky & weather,sun behind large cloud +\x{1F68D},1143,🚍,2014,Travel & Places,transport-ground,oncoming bus +\x{1F1F2 1F1FE},1144,🇲🇾,2015,Flags,country-flag,flag: Malaysia +\x{23ED FE0F},1145,⏭️,2014,Symbols,av-symbol,next track button +\x{1F960},1146,🥠,2017,Food & Drink,food-asian,fortune cookie +\x{2196 FE0F},1147,↖️,2010,Symbols,arrow,up-left arrow +\x{1F6A5},1148,🚥,2010,Travel & Places,transport-ground,horizontal traffic light +\x{1F3EC},1149,🏬,2010,Travel & Places,place-building,department store +\x{1F1EA 1F1E6},1150,🇪🇦,2015,Flags,country-flag,flag: Ceuta & Melilla +\x{1F94D},1151,🥍,2018,Activities,sport,lacrosse +\x{1F235},1152,🈵,2010,Symbols,alphanum,Japanese “no vacancy” button +\x{25FB FE0F},1153,◻️,2010,Symbols,geometric,white medium square +\x{1F1E8 1F1F5},1154,🇨🇵,2015,Flags,country-flag,flag: Clipperton Island +\x{1F1FA 1F1FE},1155,🇺🇾,2015,Flags,country-flag,flag: Uruguay +\x{1F55D},1156,🕝,2014,Travel & Places,time,two-thirty +\x{1F522},1157,🔢,2010,Symbols,alphanum,input numbers +\x{1F9EB},1158,🧫,2018,Objects,science,petri dish +\x{1F3F4 E0067 E0062 E0077 E006C E0073 E007F},1159,🏴󠁧󠁢󠁷󠁬󠁳󠁿,2017,Flags,subdivision-flag,flag: Wales +\x{1F6E5 FE0F},1160,🛥️,2014,Travel & Places,transport-water,motor boat +\x{1F196},1161,🆖,2010,Symbols,alphanum,NG button +\x{1F1E8 1F1EE},1162,🇨🇮,2015,Flags,country-flag,flag: Côte d’Ivoire +\x{1F9EE},1163,🧮,2018,Objects,computer,abacus +\x{1F5A8 FE0F},1164,🖨️,2014,Objects,computer,printer +\x{1F6E0 FE0F},1165,🛠️,2014,Objects,tool,hammer and wrench +\x{1F1E6 1F1F1},1166,🇦🇱,2015,Flags,country-flag,flag: Albania +\x{1F469 200D 1F9B2},1167,👩‍🦲,2018,People & Body,person,woman: bald +\x{1F97C},1168,🥼,2018,Objects,clothing,lab coat +\x{2695 FE0F},1169,⚕️,2016,Symbols,other-symbol,medical symbol +\x{27BF},1170,➿,2015,Symbols,other-symbol,double curly loop +\x{1F1E7 1F1EC},1171,🇧🇬,2015,Flags,country-flag,flag: Bulgaria +\x{1F936},1172,🤶,2016,People & Body,person-fantasy,Mrs. Claus +\x{1F555},1173,🕕,2010,Travel & Places,time,six o’clock +\x{1F3D1},1174,🏑,2015,Activities,sport,field hockey +"\x{1F468 200D 1F469 200D 1F466},1175,👨‍👩‍👦,2015,People & Body,family,""family: man, woman, boy""" +\x{1F503},1176,🔃,2010,Symbols,arrow,clockwise vertical arrows +\x{1F4F5},1177,📵,2015,Symbols,warning,no mobile phones +\x{1F236},1178,🈶,2010,Symbols,alphanum,Japanese “not free of charge” button +\x{1F94F},1179,🥏,2018,Activities,sport,flying disc +\x{26F4 FE0F},1180,⛴️,2014,Travel & Places,transport-water,ferry +\x{1F468 200D 1F33E},1181,👨‍🌾,2016,People & Body,person-role,man farmer +\x{1F1E6 1F1FF},1182,🇦🇿,2015,Flags,country-flag,flag: Azerbaijan +\x{1F4F3},1183,📳,2010,Symbols,av-symbol,vibration mode +\x{23 FE0F 20E3},1184,#️⃣,2010,Symbols,keycap,keycap: # +\x{1F191},1185,🆑,2010,Symbols,alphanum,CL button +\x{26F8 FE0F},1186,⛸️,2014,Activities,sport,ice skate +\x{1F4EB},1187,📫,2010,Objects,mail,closed mailbox with raised flag +\x{1F556},1188,🕖,2010,Travel & Places,time,seven o’clock +\x{1F1F8 1F1FB},1189,🇸🇻,2015,Flags,country-flag,flag: El Salvador +\x{1F1F1 1F1FE},1190,🇱🇾,2015,Flags,country-flag,flag: Libya +\x{1F1EB 1F1EE},1191,🇫🇮,2015,Flags,country-flag,flag: Finland +\x{1F68B},1192,🚋,2015,Travel & Places,transport-ground,tram car +\x{2626 FE0F},1193,☦️,2015,Symbols,religion,orthodox cross +\x{1F1F5 1F1FE},1194,🇵🇾,2015,Flags,country-flag,flag: Paraguay +\x{1F529},1195,🔩,2010,Objects,tool,nut and bolt +\x{269B FE0F},1196,⚛️,2015,Symbols,religion,atom symbol +\x{1F557},1197,🕗,2010,Travel & Places,time,eight o’clock +\x{1F4C2},1198,📂,2010,Objects,office,open file folder +\x{1F687},1199,🚇,2010,Travel & Places,transport-ground,metro +\x{1F94C},1200,🥌,2017,Activities,sport,curling stone +\x{1F469 200D 1F3A8},1201,👩‍🎨,2016,People & Body,person-role,woman artist +\x{21AA FE0F},1202,↪️,2010,Symbols,arrow,left arrow curving right +\x{1F1FB 1F1F3},1203,🇻🇳,2015,Flags,country-flag,flag: Vietnam +\x{1F1E9 1F1F0},1204,🇩🇰,2015,Flags,country-flag,flag: Denmark +\x{1F9F0},1205,🧰,2018,Objects,tool,toolbox +\x{1F3DA FE0F},1206,🏚️,2014,Travel & Places,place-building,derelict house +\x{2328 FE0F},1207,⌨️,2015,Objects,computer,keyboard +\x{1F55A},1208,🕚,2010,Travel & Places,time,eleven o’clock +\x{1F68F},1209,🚏,2010,Travel & Places,transport-ground,bus stop +\x{1F9EF},1210,🧯,2018,Objects,household,fire extinguisher +\x{1F1F9 1F1FC},1211,🇹🇼,2015,Flags,country-flag,flag: Taiwan +\x{1F50F},1212,🔏,2010,Objects,lock,locked with pen +"\x{1F468 200D 1F469 200D 1F467},1213,👨‍👩‍👧,2015,People & Body,family,""family: man, woman, girl""" +\x{1F9F7},1214,🧷,2018,Objects,household,safety pin +\x{1F469 200D 1F52C},1215,👩‍🔬,2016,People & Body,person-role,woman scientist +\x{1F1ED 1F1FA},1216,🇭🇺,2015,Flags,country-flag,flag: Hungary +\x{1F1F3 1F1EE},1217,🇳🇮,2015,Flags,country-flag,flag: Nicaragua +\x{1F6B7},1218,🚷,2015,Symbols,warning,no pedestrians +\x{1F39B FE0F},1219,🎛️,2014,Objects,music,control knobs +\x{1F68E},1220,🚎,2015,Travel & Places,transport-ground,trolleybus +\x{1F689},1221,🚉,2010,Travel & Places,transport-ground,station +\x{1F1E7 1F1F4},1222,🇧🇴,2015,Flags,country-flag,flag: Bolivia +\x{1F1F2 1F1E8},1223,🇲🇨,2015,Flags,country-flag,flag: Monaco +\x{1F18E},1224,🆎,2010,Symbols,alphanum,AB button (blood type) +\x{1F472},1225,👲,2010,People & Body,person-role,person with skullcap +\x{1F554},1226,🕔,2010,Travel & Places,time,five o’clock +\x{1F468 200D 1F9B3},1227,👨‍🦳,2018,People & Body,person,man: white hair +\x{26B1 FE0F},1228,⚱️,2015,Objects,other-object,funeral urn +\x{2A FE0F 20E3},1229,*️⃣,2015,Symbols,keycap,keycap: * +\x{1F1F0 1F1FC},1230,🇰🇼,2015,Flags,country-flag,flag: Kuwait +\x{1F4BE},1231,💾,2010,Objects,computer,floppy disk +\x{1F1F6 1F1E6},1232,🇶🇦,2015,Flags,country-flag,flag: Qatar +\x{2797},1233,➗,2010,Symbols,math,divide +\x{1F5FA FE0F},1234,🗺️,2014,Travel & Places,place-map,world map +\x{1F3FA},1235,🏺,2015,Food & Drink,dishware,amphora +\x{1F54E},1236,🕎,2015,Symbols,religion,menorah +\x{1F469 200D 1F9B1},1237,👩‍🦱,2018,People & Body,person,woman: curly hair +\x{1F1EC 1F1F9},1238,🇬🇹,2015,Flags,country-flag,flag: Guatemala +"\x{1F469 200D 1F467},1239,👩‍👧,2016,People & Body,family,""family: woman, girl""" +\x{1F1F3 1F1F4},1240,🇳🇴,2015,Flags,country-flag,flag: Norway +\x{1F4B1},1241,💱,2010,Symbols,currency,currency exchange +\x{1F6B3},1242,🚳,2015,Symbols,warning,no bicycles +\x{1F1EC 1F1EA},1243,🇬🇪,2015,Flags,country-flag,flag: Georgia +\x{1F579 FE0F},1244,🕹️,2014,Activities,game,joystick +\x{1F6F3 FE0F},1245,🛳️,2014,Travel & Places,transport-water,passenger ship +\x{1F469 200D 1F9B3},1246,👩‍🦳,2018,People & Body,person,woman: white hair +\x{1F6BB},1247,🚻,2010,Symbols,transport-sign,restroom +\x{1F1E7 1F1ED},1248,🇧🇭,2015,Flags,country-flag,flag: Bahrain +\x{1F4DF},1249,📟,2010,Objects,phone,pager +\x{1F250},1250,🉐,2010,Symbols,alphanum,Japanese “bargain” button +\x{1F1E8 1F1F2},1251,🇨🇲,2015,Flags,country-flag,flag: Cameroon +\x{1F239},1252,🈹,2010,Symbols,alphanum,Japanese “discount” button +\x{1F1E8 1F1E9},1253,🇨🇩,2015,Flags,country-flag,flag: Congo - Kinshasa +\x{1F1ED 1F1F9},1254,🇭🇹,2015,Flags,country-flag,flag: Haiti +\x{1F97F},1255,🥿,2018,Objects,clothing,flat shoe +\x{1F1ED 1F1F3},1256,🇭🇳,2015,Flags,country-flag,flag: Honduras +\x{1F565},1257,🕥,2014,Travel & Places,time,ten-thirty +\x{1F1F8 1F1EC},1258,🇸🇬,2015,Flags,country-flag,flag: Singapore +\x{1F468 200D 1F3A4},1259,👨‍🎤,2016,People & Body,person-role,man singer +\x{1F1F5 1F1E6},1260,🇵🇦,2015,Flags,country-flag,flag: Panama +\x{1F1E8 1F1F7},1261,🇨🇷,2015,Flags,country-flag,flag: Costa Rica +\x{23EB},1262,⏫,2010,Symbols,av-symbol,fast up button +\x{1F1F0 1F1EA},1263,🇰🇪,2015,Flags,country-flag,flag: Kenya +\x{2638 FE0F},1264,☸️,2014,Symbols,religion,wheel of dharma +\x{1F1EF 1F1F4},1265,🇯🇴,2015,Flags,country-flag,flag: Jordan +\x{1F469 200D 1F4BC},1266,👩‍💼,2016,People & Body,person-role,woman office worker +\x{1F469 200D 1F680},1267,👩‍🚀,2016,People & Body,person-role,woman astronaut +\x{1F533},1268,🔳,2010,Symbols,geometric,white square button +\x{1F55E},1269,🕞,2014,Travel & Places,time,three-thirty +\x{1F1F9 1F1F3},1270,🇹🇳,2015,Flags,country-flag,flag: Tunisia +\x{1F1E6 1F1EB},1271,🇦🇫,2015,Flags,country-flag,flag: Afghanistan +\x{1F502},1272,🔂,2015,Symbols,av-symbol,repeat single button +\x{1F469 200D 1F692},1273,👩‍🚒,2016,People & Body,person-role,woman firefighter +\x{1F6A0},1274,🚠,2015,Travel & Places,transport-air,mountain cableway +\x{23FA FE0F},1275,⏺️,2014,Symbols,av-symbol,record button +\x{1F3E3},1276,🏣,2010,Travel & Places,place-building,Japanese post office +\x{1F45D},1277,👝,2010,Objects,clothing,clutch bag +\x{1F1E7 1F1E9},1278,🇧🇩,2015,Flags,country-flag,flag: Bangladesh +\x{1F1F3 1F1FF},1279,🇳🇿,2015,Flags,country-flag,flag: New Zealand +\x{1F468 200D 1F680},1280,👨‍🚀,2016,People & Body,person-role,man astronaut +\x{1F468 200D 2708 FE0F},1281,👨‍✈️,2016,People & Body,person-role,man pilot +\x{21A9 FE0F},1282,↩️,2010,Symbols,arrow,right arrow curving left +\x{1F68A},1283,🚊,2015,Travel & Places,transport-ground,tram +\x{1F3ED},1284,🏭,2010,Travel & Places,place-building,factory +\x{1F1F3 1F1F5},1285,🇳🇵,2015,Flags,country-flag,flag: Nepal +\x{1F6CE FE0F},1286,🛎️,2014,Travel & Places,hotel,bellhop bell +\x{26CE},1287,⛎,2010,Symbols,zodiac,Ophiuchus +\x{1F1ED 1F1F0},1288,🇭🇰,2015,Flags,country-flag,flag: Hong Kong SAR China +\x{1F1F9 1F1F9},1289,🇹🇹,2015,Flags,country-flag,flag: Trinidad & Tobago +\x{1F3D7 FE0F},1290,🏗️,2014,Travel & Places,place-building,building construction +\x{1F1EE 1F1F7},1291,🇮🇷,2015,Flags,country-flag,flag: Iran +\x{1F688},1292,🚈,2015,Travel & Places,transport-ground,light rail +\x{1F500},1293,🔀,2015,Symbols,av-symbol,shuffle tracks button +\x{2697 FE0F},1294,⚗️,2015,Objects,science,alembic +\x{1F6BE},1295,🚾,2010,Symbols,transport-sign,water closet +\x{1F1E8 1F1FF},1296,🇨🇿,2015,Flags,country-flag,flag: Czechia +\x{1F5EF FE0F},1297,🗯️,2014,Smileys & Emotion,emotion,right anger bubble +\x{1F1F8 1F1FE},1298,🇸🇾,2015,Flags,country-flag,flag: Syria +\x{1F469 200D 1F527},1299,👩‍🔧,2016,People & Body,person-role,woman mechanic +\x{1F1FF 1F1FC},1300,🇿🇼,2015,Flags,country-flag,flag: Zimbabwe +\x{1F69D},1301,🚝,2015,Travel & Places,transport-ground,monorail +\x{1F1F3 1F1EA},1302,🇳🇪,2015,Flags,country-flag,flag: Niger +\x{23F2 FE0F},1303,⏲️,2015,Travel & Places,time,timer clock +\x{1F1ED 1F1F7},1304,🇭🇷,2015,Flags,country-flag,flag: Croatia +\x{1F1FA 1F1EC},1305,🇺🇬,2015,Flags,country-flag,flag: Uganda +\x{1F1F8 1F1E9},1306,🇸🇩,2015,Flags,country-flag,flag: Sudan +\x{1F1F7 1F1F8},1307,🇷🇸,2015,Flags,country-flag,flag: Serbia +\x{1F5B1 FE0F},1308,🖱️,2014,Objects,computer,computer mouse +\x{1F1E6 1F1F4},1309,🇦🇴,2015,Flags,country-flag,flag: Angola +\x{1F54D},1310,🕍,2015,Travel & Places,place-religious,synagogue +\x{1F234},1311,🈴,2010,Symbols,alphanum,Japanese “passing grade” button +\x{1F3DB FE0F},1312,🏛️,2014,Travel & Places,place-building,classical building +\x{1F69F},1313,🚟,2015,Travel & Places,transport-air,suspension railway +\x{23EE FE0F},1314,⏮️,2014,Symbols,av-symbol,last track button +\x{1F570 FE0F},1315,🕰️,2014,Travel & Places,time,mantelpiece clock +\x{1F22F},1316,🈯,2010,Symbols,alphanum,Japanese “reserved” button +\x{1F6AF},1317,🚯,2015,Symbols,warning,no littering +\x{1F468 200D 1F692},1318,👨‍🚒,2016,People & Body,person-role,man firefighter +\x{1F468 200D 1F4BC},1319,👨‍💼,2016,People & Body,person-role,man office worker +\x{1F468 200D 1F9B2},1320,👨‍🦲,2018,People & Body,person,man: bald +\x{1F1F8 1F1F3},1321,🇸🇳,2015,Flags,country-flag,flag: Senegal +\x{1F468 200D 1F9B1},1322,👨‍🦱,2018,People & Body,person,man: curly hair +\x{1F468 200D 1F3A8},1323,👨‍🎨,2016,People & Body,person-role,man artist +\x{1F524},1324,🔤,2010,Symbols,alphanum,input latin letters +\x{1F6C2},1325,🛂,2015,Symbols,transport-sign,passport control +\x{23F8 FE0F},1326,⏸️,2014,Symbols,av-symbol,pause button +\x{1F1EA 1F1EA},1327,🇪🇪,2015,Flags,country-flag,flag: Estonia +\x{1F1E7 1F1E6},1328,🇧🇦,2015,Flags,country-flag,flag: Bosnia & Herzegovina +\x{1F4EA},1329,📪,2010,Objects,mail,closed mailbox with lowered flag +\x{1F469 200D 2696 FE0F},1330,👩‍⚖️,2016,People & Body,person-role,woman judge +\x{1F1EC 1F1F3},1331,🇬🇳,2015,Flags,country-flag,flag: Guinea +\x{1F468 200D 1F52C},1332,👨‍🔬,2016,People & Body,person-role,man scientist +"\x{1F468 200D 1F469 200D 1F467 200D 1F467},1333,👨‍👩‍👧‍👧,2015,People & Body,family,""family: man, woman, girl, girl""" +\x{1F6A1},1334,🚡,2015,Travel & Places,transport-air,aerial tramway +\x{1F3E4},1335,🏤,2015,Travel & Places,place-building,post office +\x{1F1FF 1F1F2},1336,🇿🇲,2015,Flags,country-flag,flag: Zambia +\x{1F1E7 1F1EF},1337,🇧🇯,2015,Flags,country-flag,flag: Benin +\x{1F1FB 1F1EE},1338,🇻🇮,2015,Flags,country-flag,flag: U.S. Virgin Islands +\x{1F6E4 FE0F},1339,🛤️,2014,Travel & Places,transport-ground,railway track +\x{1F69E},1340,🚞,2015,Travel & Places,transport-ground,mountain railway +\x{1F468 200D 1F9B0},1341,👨‍🦰,2018,People & Body,person,man: red hair +\x{1F1E6 1F1E9},1342,🇦🇩,2015,Flags,country-flag,flag: Andorra +\x{1F1F7 1F1F4},1343,🇷🇴,2015,Flags,country-flag,flag: Romania +\x{1F5D2 FE0F},1344,🗒️,2014,Objects,office,spiral notepad +\x{1F23A},1345,🈺,2010,Symbols,alphanum,Japanese “open for business” button +"\x{1F468 200D 1F466},1346,👨‍👦,2016,People & Body,family,""family: man, boy""" +\x{1F1FA 1F1F3},1347,🇺🇳,2016,Flags,country-flag,flag: United Nations +"\x{1F468 200D 1F469 200D 1F466 200D 1F466},1348,👨‍👩‍👦‍👦,2015,People & Body,family,""family: man, woman, boy, boy""" +\x{1F1E7 1F1E7},1349,🇧🇧,2015,Flags,country-flag,flag: Barbados +\x{1F469 200D 2708 FE0F},1350,👩‍✈️,2016,People & Body,person-role,woman pilot +\x{1F1E7 1F1F3},1351,🇧🇳,2015,Flags,country-flag,flag: Brunei +\x{1F4ED},1352,📭,2014,Objects,mail,open mailbox with lowered flag +"\x{1F469 200D 1F466},1353,👩‍👦,2016,People & Body,family,""family: woman, boy""" +\x{1F1F8 1F1F4},1354,🇸🇴,2015,Flags,country-flag,flag: Somalia +\x{1F1E7 1F1FC},1355,🇧🇼,2015,Flags,country-flag,flag: Botswana +\x{1F5C4 FE0F},1356,🗄️,2014,Objects,office,file cabinet +\x{1F441 FE0F 200D 1F5E8 FE0F},1357,👁️‍🗨️,2015,Smileys & Emotion,emotion,eye in speech bubble +\x{1F1EA 1F1F9},1358,🇪🇹,2015,Flags,country-flag,flag: Ethiopia +\x{1F1F9 1F1FF},1359,🇹🇿,2015,Flags,country-flag,flag: Tanzania +\x{1F1F1 1F1FB},1360,🇱🇻,2015,Flags,country-flag,flag: Latvia +\x{1F468 200D 1F527},1361,👨‍🔧,2016,People & Body,person-role,man mechanic +\x{1F1EE 1F1F8},1362,🇮🇸,2015,Flags,country-flag,flag: Iceland +\x{1F561},1363,🕡,2014,Travel & Places,time,six-thirty +\x{1F468 200D 2696 FE0F},1364,👨‍⚖️,2016,People & Body,person-role,man judge +\x{1F1F1 1F1FA},1365,🇱🇺,2015,Flags,country-flag,flag: Luxembourg +\x{1F6C4},1366,🛄,2015,Symbols,transport-sign,baggage claim +\x{2195 FE0F},1367,↕️,2010,Symbols,arrow,up-down arrow +\x{1F1E6 1F1E8},1368,🇦🇨,2015,Flags,country-flag,flag: Ascension Island +\x{1F1FC 1F1F8},1369,🇼🇸,2015,Flags,country-flag,flag: Samoa +\x{1F566},1370,🕦,2014,Travel & Places,time,eleven-thirty +\x{1F6B1},1371,🚱,2015,Symbols,warning,non-potable water +\x{1F563},1372,🕣,2014,Travel & Places,time,eight-thirty +\x{1F1F2 1F1F0},1373,🇲🇰,2015,Flags,country-flag,flag: North Macedonia +\x{1F469 200D 1F3ED},1374,👩‍🏭,2016,People & Body,person-role,woman factory worker +\x{1F1F0 1F1FF},1375,🇰🇿,2015,Flags,country-flag,flag: Kazakhstan +\x{1F21A},1376,🈚,2010,Symbols,alphanum,Japanese “free of charge” button +\x{1F232},1377,🈲,2010,Symbols,alphanum,Japanese “prohibited” button +\x{1F520},1378,🔠,2010,Symbols,alphanum,input latin uppercase +\x{1F6F7},1379,🛷,2017,Activities,sport,sled +\x{1F1E7 1F1FE},1380,🇧🇾,2015,Flags,country-flag,flag: Belarus +\x{1F1F1 1F1E6},1381,🇱🇦,2015,Flags,country-flag,flag: Laos +\x{1F1F4 1F1F2},1382,🇴🇲,2015,Flags,country-flag,flag: Oman +\x{1F1E6 1F1F6},1383,🇦🇶,2015,Flags,country-flag,flag: Antarctica +\x{1F4C7},1384,📇,2010,Objects,office,card index +\x{1F5B2 FE0F},1385,🖲️,2014,Objects,computer,trackball +\x{1F1F9 1F1EC},1386,🇹🇬,2015,Flags,country-flag,flag: Togo +\x{1F1EC 1F1FE},1387,🇬🇾,2015,Flags,country-flag,flag: Guyana +\x{1F564},1388,🕤,2014,Travel & Places,time,nine-thirty +\x{1F1F2 1F1F1},1389,🇲🇱,2015,Flags,country-flag,flag: Mali +\x{1F1FB 1F1E8},1390,🇻🇨,2015,Flags,country-flag,flag: St. Vincent & Grenadines +\x{1F1E6 1F1FD},1391,🇦🇽,2015,Flags,country-flag,flag: Åland Islands +\x{1F567},1392,🕧,2014,Travel & Places,time,twelve-thirty +\x{1F1FA 1F1FF},1393,🇺🇿,2015,Flags,country-flag,flag: Uzbekistan +\x{1F5C3 FE0F},1394,🗃️,2014,Objects,office,card file box +\x{1F238},1395,🈸,2010,Symbols,alphanum,Japanese “application” button +\x{1F1EC 1F1F1},1396,🇬🇱,2015,Flags,country-flag,flag: Greenland +\x{1F1E6 1F1EE},1397,🇦🇮,2015,Flags,country-flag,flag: Anguilla +"\x{1F469 200D 1F467 200D 1F466},1398,👩‍👧‍👦,2016,People & Body,family,""family: woman, girl, boy""" +\x{1F233},1399,🈳,2010,Symbols,alphanum,Japanese “vacancy” button +\x{1F5DC FE0F},1400,🗜️,2014,Objects,tool,clamp +\x{1F562},1401,🕢,2014,Travel & Places,time,seven-thirty +\x{1F560},1402,🕠,2014,Travel & Places,time,five-thirty +\x{1F1E6 1F1F8},1403,🇦🇸,2015,Flags,country-flag,flag: American Samoa +\x{1F1E6 1F1EC},1404,🇦🇬,2015,Flags,country-flag,flag: Antigua & Barbuda +\x{1F1E7 1F1EB},1405,🇧🇫,2015,Flags,country-flag,flag: Burkina Faso +\x{1F1FB 1F1E6},1406,🇻🇦,2015,Flags,country-flag,flag: Vatican City +\x{1F1F1 1F1F0},1407,🇱🇰,2015,Flags,country-flag,flag: Sri Lanka +\x{1F55F},1408,🕟,2014,Travel & Places,time,four-thirty +\x{1F1E7 1F1FB},1409,🇧🇻,2015,Flags,country-flag,flag: Bouvet Island +\x{1F1E6 1F1FC},1410,🇦🇼,2015,Flags,country-flag,flag: Aruba +\x{1F1F2 1F1EB},1411,🇲🇫,2015,Flags,country-flag,flag: St. Martin +\x{1F1E7 1F1F8},1412,🇧🇸,2015,Flags,country-flag,flag: Bahamas +\x{1F1F1 1F1F9},1413,🇱🇹,2015,Flags,country-flag,flag: Lithuania +\x{1F1E7 1F1EE},1414,🇧🇮,2015,Flags,country-flag,flag: Burundi +\x{1F1ED 1F1F2},1415,🇭🇲,2015,Flags,country-flag,flag: Heard & McDonald Islands +\x{1F1F0 1F1F5},1416,🇰🇵,2015,Flags,country-flag,flag: North Korea +\x{1F1EA 1F1F7},1417,🇪🇷,2015,Flags,country-flag,flag: Eritrea +\x{1F1F9 1F1F4},1418,🇹🇴,2015,Flags,country-flag,flag: Tonga +\x{1F1F8 1F1F0},1419,🇸🇰,2015,Flags,country-flag,flag: Slovakia +\x{1F1FB 1F1FA},1420,🇻🇺,2015,Flags,country-flag,flag: Vanuatu +\x{1F1F0 1F1ED},1421,🇰🇭,2015,Flags,country-flag,flag: Cambodia +\x{1F1F9 1F1F2},1422,🇹🇲,2015,Flags,country-flag,flag: Turkmenistan +\x{23F9 FE0F},1423,⏹️,2014,Symbols,av-symbol,stop button +\x{1F1F8 1F1F1},1424,🇸🇱,2015,Flags,country-flag,flag: Sierra Leone +\x{1F1F9 1F1E9},1425,🇹🇩,2015,Flags,country-flag,flag: Chad +"\x{1F468 200D 1F467},1426,👨‍👧,2016,People & Body,family,""family: man, girl""" +\x{1F1FB 1F1EC},1427,🇻🇬,2015,Flags,country-flag,flag: British Virgin Islands +\x{1F1F9 1F1FB},1428,🇹🇻,2015,Flags,country-flag,flag: Tuvalu +\x{1F1EE 1F1E8},1429,🇮🇨,2015,Flags,country-flag,flag: Canary Islands +\x{1F1F9 1F1EF},1430,🇹🇯,2015,Flags,country-flag,flag: Tajikistan +"\x{1F469 200D 1F467 200D 1F467},1431,👩‍👧‍👧,2016,People & Body,family,""family: woman, girl, girl""" +"\x{1F468 200D 1F468 200D 1F467},1432,👨‍👨‍👧,2015,People & Body,family,""family: man, man, girl""" +\x{1F1F0 1F1EC},1433,🇰🇬,2015,Flags,country-flag,flag: Kyrgyzstan +\x{1F1E8 1F1EC},1434,🇨🇬,2015,Flags,country-flag,flag: Congo - Brazzaville +\x{1F1EC 1F1E6},1435,🇬🇦,2015,Flags,country-flag,flag: Gabon +\x{1F1F2 1F1F4},1436,🇲🇴,2015,Flags,country-flag,flag: Macao SAR China +\x{1F1F2 1F1FA},1437,🇲🇺,2015,Flags,country-flag,flag: Mauritius +\x{1F1FD 1F1F0},1438,🇽🇰,2015,Flags,country-flag,flag: Kosovo +\x{1F1F8 1F1EE},1439,🇸🇮,2015,Flags,country-flag,flag: Slovenia +\x{1F1F2 1F1F2},1440,🇲🇲,2015,Flags,country-flag,flag: Myanmar (Burma) +\x{1F1E8 1F1FE},1441,🇨🇾,2015,Flags,country-flag,flag: Cyprus +\x{1F6C3},1442,🛃,2015,Symbols,transport-sign,customs +\x{1F1E7 1F1F9},1443,🇧🇹,2015,Flags,country-flag,flag: Bhutan +\x{1F1E7 1F1F2},1444,🇧🇲,2015,Flags,country-flag,flag: Bermuda +"\x{1F468 200D 1F466 200D 1F466},1445,👨‍👦‍👦,2016,People & Body,family,""family: man, boy, boy""" +\x{1F1EA 1F1ED},1446,🇪🇭,2015,Flags,country-flag,flag: Western Sahara +\x{1F237 FE0F},1447,🈷️,2010,Symbols,alphanum,Japanese “monthly amount” button +\x{1F1F2 1F1EA},1448,🇲🇪,2015,Flags,country-flag,flag: Montenegro +\x{1F1F8 1F1F8},1449,🇸🇸,2015,Flags,country-flag,flag: South Sudan +\x{1F1F7 1F1FC},1450,🇷🇼,2015,Flags,country-flag,flag: Rwanda +\x{1F1F2 1F1F7},1451,🇲🇷,2015,Flags,country-flag,flag: Mauritania +\x{1F1F2 1F1F9},1452,🇲🇹,2015,Flags,country-flag,flag: Malta +\x{1F1E8 1F1E8},1453,🇨🇨,2015,Flags,country-flag,flag: Cocos (Keeling) Islands +\x{1F1F8 1F1F7},1454,🇸🇷,2015,Flags,country-flag,flag: Suriname +"\x{1F468 200D 1F468 200D 1F466 200D 1F466},1455,👨‍👨‍👦‍👦,2015,People & Body,family,""family: man, man, boy, boy""" +\x{1F6C5},1456,🛅,2015,Symbols,transport-sign,left luggage +\x{1F1F2 1F1F3},1457,🇲🇳,2015,Flags,country-flag,flag: Mongolia +"\x{1F468 200D 1F468 200D 1F466},1458,👨‍👨‍👦,2015,People & Body,family,""family: man, man, boy""" +\x{1F1F2 1F1EC},1459,🇲🇬,2015,Flags,country-flag,flag: Madagascar +\x{1F521},1460,🔡,2010,Symbols,alphanum,input latin lowercase +\x{1F1F1 1F1F8},1461,🇱🇸,2015,Flags,country-flag,flag: Lesotho +"\x{1F469 200D 1F466 200D 1F466},1462,👩‍👦‍👦,2016,People & Body,family,""family: woman, boy, boy""" +\x{1F1FE 1F1F9},1463,🇾🇹,2015,Flags,country-flag,flag: Mayotte +\x{1F1F8 1F1EF},1464,🇸🇯,2015,Flags,country-flag,flag: Svalbard & Jan Mayen +\x{1F1F9 1F1F1},1465,🇹🇱,2015,Flags,country-flag,flag: Timor-Leste +\x{1F1F2 1F1E9},1466,🇲🇩,2015,Flags,country-flag,flag: Moldova +\x{1F1E8 1F1FB},1467,🇨🇻,2015,Flags,country-flag,flag: Cape Verde +\x{1F1F2 1F1FF},1468,🇲🇿,2015,Flags,country-flag,flag: Mozambique +\x{1F5C2 FE0F},1469,🗂️,2014,Objects,office,card index dividers +\x{1F1EE 1F1F4},1470,🇮🇴,2015,Flags,country-flag,flag: British Indian Ocean Territory +\x{1F1F9 1F1E8},1471,🇹🇨,2015,Flags,country-flag,flag: Turks & Caicos Islands +\x{1F1F3 1F1E6},1472,🇳🇦,2015,Flags,country-flag,flag: Namibia +\x{1F1EC 1F1FC},1473,🇬🇼,2015,Flags,country-flag,flag: Guinea-Bissau +\x{1F1F2 1F1FB},1474,🇲🇻,2015,Flags,country-flag,flag: Maldives +\x{1F468 200D 1F3ED},1475,👨‍🏭,2016,People & Body,person-role,man factory worker +\x{1F1EC 1F1FA},1476,🇬🇺,2015,Flags,country-flag,flag: Guam +\x{1F1F9 1F1E6},1477,🇹🇦,2015,Flags,country-flag,flag: Tristan da Cunha +"\x{1F469 200D 1F469 200D 1F467 200D 1F467},1478,👩‍👩‍👧‍👧,2015,People & Body,family,""family: woman, woman, girl, girl""" +\x{1F1E7 1F1F1},1479,🇧🇱,2015,Flags,country-flag,flag: St. Barthélemy +\x{1F1F3 1F1EB},1480,🇳🇫,2015,Flags,country-flag,flag: Norfolk Island +\x{1F202 FE0F},1481,🈂️,2010,Symbols,alphanum,Japanese “service charge” button +\x{1F523},1482,🔣,2010,Symbols,alphanum,input symbols +\x{1F1F7 1F1EA},1483,🇷🇪,2015,Flags,country-flag,flag: Réunion +\x{1F1F0 1F1F2},1484,🇰🇲,2015,Flags,country-flag,flag: Comoros +"\x{1F469 200D 1F469 200D 1F466},1485,👩‍👩‍👦,2015,People & Body,family,""family: woman, woman, boy""" +\x{1F1F1 1F1E8},1486,🇱🇨,2015,Flags,country-flag,flag: St. Lucia +\x{1F1EC 1F1F2},1487,🇬🇲,2015,Flags,country-flag,flag: Gambia +\x{1F1FC 1F1EB},1488,🇼🇫,2015,Flags,country-flag,flag: Wallis & Futuna +\x{1F1E7 1F1F6},1489,🇧🇶,2015,Flags,country-flag,flag: Caribbean Netherlands +\x{1F1EE 1F1F2},1490,🇮🇲,2015,Flags,country-flag,flag: Isle of Man +\x{1F1E8 1F1F0},1491,🇨🇰,2015,Flags,country-flag,flag: Cook Islands +\x{1F1E7 1F1FF},1492,🇧🇿,2015,Flags,country-flag,flag: Belize +"\x{1F468 200D 1F467 200D 1F466},1493,👨‍👧‍👦,2016,People & Body,family,""family: man, girl, boy""" +\x{1F1F8 1F1FF},1494,🇸🇿,2015,Flags,country-flag,flag: Eswatini +\x{1F1F8 1F1F9},1495,🇸🇹,2015,Flags,country-flag,flag: São Tomé & Príncipe +\x{1F1E9 1F1EF},1496,🇩🇯,2015,Flags,country-flag,flag: Djibouti +"\x{1F469 200D 1F469 200D 1F467 200D 1F466},1497,👩‍👩‍👧‍👦,2015,People & Body,family,""family: woman, woman, girl, boy""" +"\x{1F468 200D 1F468 200D 1F467 200D 1F466},1498,👨‍👨‍👧‍👦,2015,People & Body,family,""family: man, man, girl, boy""" +\x{1F1E9 1F1F2},1499,🇩🇲,2015,Flags,country-flag,flag: Dominica +"\x{1F469 200D 1F469 200D 1F467},1500,👩‍👩‍👧,2015,People & Body,family,""family: woman, woman, girl""" +\x{1F1EC 1F1E9},1501,🇬🇩,2015,Flags,country-flag,flag: Grenada +\x{1F1EB 1F1F2},1502,🇫🇲,2015,Flags,country-flag,flag: Micronesia +\x{1F1E8 1F1EB},1503,🇨🇫,2015,Flags,country-flag,flag: Central African Republic +\x{1F1F8 1F1F2},1504,🇸🇲,2015,Flags,country-flag,flag: San Marino +\x{1F1EB 1F1EF},1505,🇫🇯,2015,Flags,country-flag,flag: Fiji +\x{1F1F9 1F1F0},1506,🇹🇰,2015,Flags,country-flag,flag: Tokelau +\x{1F1EC 1F1EC},1507,🇬🇬,2015,Flags,country-flag,flag: Guernsey +\x{1F1F0 1F1F3},1508,🇰🇳,2015,Flags,country-flag,flag: St. Kitts & Nevis +\x{1F1F8 1F1E8},1509,🇸🇨,2015,Flags,country-flag,flag: Seychelles +\x{1F9B0},1510,🦰,2018,Component,hair-style,red hair +\x{1F1F8 1F1E7},1511,🇸🇧,2015,Flags,country-flag,flag: Solomon Islands +\x{23CF FE0F},1512,⏏️,2015,Symbols,av-symbol,eject button +\x{1F1EB 1F1F0},1513,🇫🇰,2015,Flags,country-flag,flag: Falkland Islands +\x{1F201},1514,🈁,2010,Symbols,alphanum,Japanese “here” button +\x{1F1F0 1F1EE},1515,🇰🇮,2015,Flags,country-flag,flag: Kiribati +\x{1F1F5 1F1EC},1516,🇵🇬,2015,Flags,country-flag,flag: Papua New Guinea +\x{1F1F8 1F1FD},1517,🇸🇽,2015,Flags,country-flag,flag: Sint Maarten +\x{1F1F9 1F1EB},1518,🇹🇫,2015,Flags,country-flag,flag: French Southern Territories +\x{1F1EB 1F1F4},1519,🇫🇴,2015,Flags,country-flag,flag: Faroe Islands +"\x{1F468 200D 1F468 200D 1F467 200D 1F467},1520,👨‍👨‍👧‍👧,2015,People & Body,family,""family: man, man, girl, girl""" +\x{1F1EC 1F1F6},1521,🇬🇶,2015,Flags,country-flag,flag: Equatorial Guinea +\x{1F1EF 1F1EA},1522,🇯🇪,2015,Flags,country-flag,flag: Jersey +\x{1F1EC 1F1EE},1523,🇬🇮,2015,Flags,country-flag,flag: Gibraltar +\x{1F1EC 1F1F8},1524,🇬🇸,2015,Flags,country-flag,flag: South Georgia & South Sandwich Islands +"\x{1F469 200D 1F469 200D 1F466 200D 1F466},1525,👩‍👩‍👦‍👦,2015,People & Body,family,""family: woman, woman, boy, boy""" +\x{1F1E8 1F1FC},1526,🇨🇼,2015,Flags,country-flag,flag: Curaçao +\x{1F1F2 1F1FC},1527,🇲🇼,2015,Flags,country-flag,flag: Malawi +\x{1F1F5 1F1FC},1528,🇵🇼,2015,Flags,country-flag,flag: Palau +\x{1F1F2 1F1F8},1529,🇲🇸,2015,Flags,country-flag,flag: Montserrat +\x{1F1F1 1F1EE},1530,🇱🇮,2015,Flags,country-flag,flag: Liechtenstein +\x{1F1F2 1F1ED},1531,🇲🇭,2015,Flags,country-flag,flag: Marshall Islands +\x{1F1EC 1F1EB},1532,🇬🇫,2015,Flags,country-flag,flag: French Guiana +\x{1F1F8 1F1ED},1533,🇸🇭,2015,Flags,country-flag,flag: St. Helena +\x{1F1E8 1F1FD},1534,🇨🇽,2015,Flags,country-flag,flag: Christmas Island +\x{1F1F5 1F1F3},1535,🇵🇳,2015,Flags,country-flag,flag: Pitcairn Islands +\x{1F1E9 1F1EC},1536,🇩🇬,2015,Flags,country-flag,flag: Diego Garcia +\x{1F1F3 1F1FA},1537,🇳🇺,2015,Flags,country-flag,flag: Niue +\x{1F1F3 1F1E8},1538,🇳🇨,2015,Flags,country-flag,flag: New Caledonia +\x{1F1F5 1F1EB},1539,🇵🇫,2015,Flags,country-flag,flag: French Polynesia +\x{1F1F0 1F1FE},1540,🇰🇾,2015,Flags,country-flag,flag: Cayman Islands +\x{1F9B1},1541,🦱,2018,Component,hair-style,curly hair +"\x{1F468 200D 1F467 200D 1F467},1542,👨‍👧‍👧,2016,People & Body,family,""family: man, girl, girl""" +\x{1F1F5 1F1F2},1543,🇵🇲,2015,Flags,country-flag,flag: St. Pierre & Miquelon +\x{1F1F2 1F1F5},1544,🇲🇵,2015,Flags,country-flag,flag: Northern Mariana Islands +\x{1F1F3 1F1F7},1545,🇳🇷,2015,Flags,country-flag,flag: Nauru +\x{1F1F2 1F1F6},1546,🇲🇶,2015,Flags,country-flag,flag: Martinique +\x{1F1EC 1F1F5},1547,🇬🇵,2015,Flags,country-flag,flag: Guadeloupe +\x{1F9B2},1548,🦲,2018,Component,hair-style,bald +\x{1F9B3},1549,🦳,2018,Component,hair-style,white hair diff --git a/exercicios/para-casa/emojis_dani.ipynb b/exercicios/para-casa/emojis_dani.ipynb new file mode 100644 index 0000000..cdbe679 --- /dev/null +++ b/exercicios/para-casa/emojis_dani.ipynb @@ -0,0 +1,1880 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Base de dados\n", + "\n", + "'''O banco de dados escolhido apresenta o ranking dos emojis mais utilizados em 2021,\n", + "mostrando o número de publicações de cada emoji,sua categoria e subcategoria.\n", + "A escolha dos emojis foi feita de maneira um pouco aleatória, mas o programa utilizado\n", + "oferece recursos importantes para organizar e coletar dados que serão úteis posteriormente.\n", + "\n", + "Esse banco de dados pode ajudar a entender as tendências digitais e o comportamento dos usuários em 2021.\n", + "Apesar da escolha aleatória dos emojis, o banco de dados oferece informações valiosas sobre a comunicação digital.\n", + "Ele não apenas mostra os emojis mais utilizados, mas também categoriza esses emojis em diferentes\n", + "categorias e subcategorias,oferecendo uma visão mais detalhada sobre como as pessoas se expressam online.\n", + "\n", + "Quando compartilhei essa informação na sala de aula com os alunos, eles ficaram empolgados. \n", + "Queriam saber qual emoji foi o mais utilizado e o menos utilizado, além de querer descobrir\n", + "se seus emojis favoritos estavam na lista. Foi uma experiência bacana, pois não apenas \n", + "proporcionou uma discussão animada sobre os emojis, mas também incentivou os alunos a refletirem\n", + "sobre como eles próprios se comunicam digitalmente.\n", + "\n", + "O banco de dados pode ser fofo e engraçado, mas também é uma ferramenta poderosa para analisar\n", + "padrões de comunicação e comportamento online. É ótimo ver como algo tão simples como emojis \n", + "pode gerar tanto interesse e engajamento entre os alunos. Certamente, essa iniciativa não apenas os diverte,\n", + "mas também os faz pensar sobre como eles se comunicam no mundo digital.\n", + "\n", + "O banco apresenta as seguintes colunas:\n", + "\n", + "Hex : São as caraterísticas gráficas usadas no contexto de codificação de caracteres,\n", + "emojis são representados por códigos Unicode, que são números hexadecimais únicos atribuídos a cada caractere;\n", + "\n", + "Rank: Numeração de mais utilizado até o menos utilizado;\n", + "\n", + "Emoji: A representação de cada emoji;\n", + "\n", + "Year: Ano de publicação de cada emoji;\n", + "\n", + "Category: Categoria principal do emoji;\n", + "\n", + "Subcategory: Uma subcategoria representada do emoji;\n", + "\n", + "Name: Significado de cada emoji '''" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
p HexIdRankEmojiYearCategorySubcategoryName
0\\x{1F602}1.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
1\\x{2764 FE0F}2.0❤️2010.0Smileys & Emotionemotionred heart
2\\x{1F923}3.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
3\\x{1F44D}4.0👍2010.0People & Bodyhand-fingers-closedthumbs up
4\\x{1F62D}5.0😭2010.0Smileys & Emotionface-concernedloudly crying face
........................
1544\\x{1F1F3 1F1F7}1545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
1545\\x{1F1F2 1F1F6}1546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
1546\\x{1F1EC 1F1F5}1547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
1547\\x{1F9B2}1548.0🦲2018.0Componenthair-stylebald
1548\\x{1F9B3}1549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1549 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " p HexId Rank Emoji Year Category \\\n", + "0 \\x{1F602} 1.0 😂 2010.0 Smileys & Emotion \n", + "1 \\x{2764 FE0F} 2.0 ❤️ 2010.0 Smileys & Emotion \n", + "2 \\x{1F923} 3.0 🤣 2016.0 Smileys & Emotion \n", + "3 \\x{1F44D} 4.0 👍 2010.0 People & Body \n", + "4 \\x{1F62D} 5.0 😭 2010.0 Smileys & Emotion \n", + "... ... ... ... ... ... \n", + "1544 \\x{1F1F3 1F1F7} 1545.0 🇳🇷 2015.0 Flags \n", + "1545 \\x{1F1F2 1F1F6} 1546.0 🇲🇶 2015.0 Flags \n", + "1546 \\x{1F1EC 1F1F5} 1547.0 🇬🇵 2015.0 Flags \n", + "1547 \\x{1F9B2} 1548.0 🦲 2018.0 Component \n", + "1548 \\x{1F9B3} 1549.0 🦳 2018.0 Component \n", + "\n", + " Subcategory Name \n", + "0 face-smiling face with tears of joy \n", + "1 emotion red heart \n", + "2 face-smiling rolling on the floor laughing \n", + "3 hand-fingers-closed thumbs up \n", + "4 face-concerned loudly crying face \n", + "... ... ... \n", + "1544 country-flag flag: Nauru \n", + "1545 country-flag flag: Martinique \n", + "1546 country-flag flag: Guadeloupe \n", + "1547 hair-style bald \n", + "1548 hair-style white hair \n", + "\n", + "[1549 rows x 7 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "df = pd.read_csv(\"emojis.csv\")\n", + "df\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
HexRankEmojiYearCategorySubcategoryName
0\\x{1F602}1.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
1\\x{2764 FE0F}2.0❤️2010.0Smileys & Emotionemotionred heart
2\\x{1F923}3.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
3\\x{1F44D}4.0👍2010.0People & Bodyhand-fingers-closedthumbs up
4\\x{1F62D}5.0😭2010.0Smileys & Emotionface-concernedloudly crying face
........................
1544\\x{1F1F3 1F1F7}1545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
1545\\x{1F1F2 1F1F6}1546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
1546\\x{1F1EC 1F1F5}1547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
1547\\x{1F9B2}1548.0🦲2018.0Componenthair-stylebald
1548\\x{1F9B3}1549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1549 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Hex Rank Emoji Year Category \\\n", + "0 \\x{1F602} 1.0 😂 2010.0 Smileys & Emotion \n", + "1 \\x{2764 FE0F} 2.0 ❤️ 2010.0 Smileys & Emotion \n", + "2 \\x{1F923} 3.0 🤣 2016.0 Smileys & Emotion \n", + "3 \\x{1F44D} 4.0 👍 2010.0 People & Body \n", + "4 \\x{1F62D} 5.0 😭 2010.0 Smileys & Emotion \n", + "... ... ... ... ... ... \n", + "1544 \\x{1F1F3 1F1F7} 1545.0 🇳🇷 2015.0 Flags \n", + "1545 \\x{1F1F2 1F1F6} 1546.0 🇲🇶 2015.0 Flags \n", + "1546 \\x{1F1EC 1F1F5} 1547.0 🇬🇵 2015.0 Flags \n", + "1547 \\x{1F9B2} 1548.0 🦲 2018.0 Component \n", + "1548 \\x{1F9B3} 1549.0 🦳 2018.0 Component \n", + "\n", + " Subcategory Name \n", + "0 face-smiling face with tears of joy \n", + "1 emotion red heart \n", + "2 face-smiling rolling on the floor laughing \n", + "3 hand-fingers-closed thumbs up \n", + "4 face-concerned loudly crying face \n", + "... ... ... \n", + "1544 country-flag flag: Nauru \n", + "1545 country-flag flag: Martinique \n", + "1546 country-flag flag: Guadeloupe \n", + "1547 hair-style bald \n", + "1548 hair-style white hair \n", + "\n", + "[1549 rows x 7 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Mudando nome de Coluna\n", + "mapeamento_colunas = {\n", + " 'p HexId': 'Hex'\n", + "}\n", + "\n", + "df.rename(columns=mapeamento_colunas, inplace=True)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1549 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1549 rows x 6 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Excluindo coluna\n", + "df.drop('Hex', axis=1, inplace=True)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Rank float64\n", + "Emoji object\n", + "Year float64\n", + "Category object\n", + "Subcategory object\n", + "Name object\n", + "dtype: object" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "#Mostrar tipo de dados na coluna" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Rank', 'Emoji', 'Year', 'Category', 'Subcategory', 'Name'], dtype='object')" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns\n", + "#Descrição das colunas " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Valores nulos por coluna do dataframe:\n", + "Rank 31\n", + "Emoji 31\n", + "Year 31\n", + "Category 31\n", + "Subcategory 31\n", + "Name 31\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "#Mostrando valores nulos por colunas\n", + "print(\"Valores nulos por coluna do dataframe:\")\n", + "print(df.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1518, 6)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Remove entradas (linhas) contendo valores nulos em colunas específicas\n", + "df = df.dropna(subset=['Rank', 'Emoji','Year','Category','Subcategory','Name'])\n", + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
15481549.0🦳2018.0Componenthair-stylewhite hair
15471548.0🦲2018.0Componenthair-stylebald
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
.....................
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
12.0❤️2010.0Smileys & Emotionemotionred heart
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "... ... ... ... ... ... \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "\n", + " Name \n", + "1548 white hair \n", + "1547 bald \n", + "1546 flag: Guadeloupe \n", + "1545 flag: Martinique \n", + "1544 flag: Nauru \n", + "... ... \n", + "4 loudly crying face \n", + "3 thumbs up \n", + "2 rolling on the floor laughing \n", + "1 red heart \n", + "0 face with tears of joy \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nome_da_coluna = 'Rank'\n", + "\n", + "# Ordenando o DataFrame com base na coluna em ordem decrescente\n", + "df = df.sort_values(by=nome_da_coluna, ascending=False)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nome_da_coluna = 'Rank'\n", + "\n", + "# Ordenando a coluna especificada em ordem crescente\n", + "df = df.sort_values(by=nome_da_coluna)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_copia = df.copy()\n", + "df_copia\n", + "#Cópia do datafame inicial" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_copia" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 False\n", + "1 False\n", + "2 False\n", + "3 False\n", + "4 False\n", + " ... \n", + "1544 False\n", + "1545 False\n", + "1546 False\n", + "1547 False\n", + "1548 False\n", + "Length: 1518, dtype: bool" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_copia.duplicated()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RankEmojiYearCategorySubcategoryName
01.0😂2010.0Smileys & Emotionface-smilingface with tears of joy
12.0❤️2010.0Smileys & Emotionemotionred heart
23.0🤣2016.0Smileys & Emotionface-smilingrolling on the floor laughing
34.0👍2010.0People & Bodyhand-fingers-closedthumbs up
45.0😭2010.0Smileys & Emotionface-concernedloudly crying face
.....................
15441545.0🇳🇷2015.0Flagscountry-flagflag: Nauru
15451546.0🇲🇶2015.0Flagscountry-flagflag: Martinique
15461547.0🇬🇵2015.0Flagscountry-flagflag: Guadeloupe
15471548.0🦲2018.0Componenthair-stylebald
15481549.0🦳2018.0Componenthair-stylewhite hair
\n", + "

1518 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Rank Emoji Year Category Subcategory \\\n", + "0 1.0 😂 2010.0 Smileys & Emotion face-smiling \n", + "1 2.0 ❤️ 2010.0 Smileys & Emotion emotion \n", + "2 3.0 🤣 2016.0 Smileys & Emotion face-smiling \n", + "3 4.0 👍 2010.0 People & Body hand-fingers-closed \n", + "4 5.0 😭 2010.0 Smileys & Emotion face-concerned \n", + "... ... ... ... ... ... \n", + "1544 1545.0 🇳🇷 2015.0 Flags country-flag \n", + "1545 1546.0 🇲🇶 2015.0 Flags country-flag \n", + "1546 1547.0 🇬🇵 2015.0 Flags country-flag \n", + "1547 1548.0 🦲 2018.0 Component hair-style \n", + "1548 1549.0 🦳 2018.0 Component hair-style \n", + "\n", + " Name \n", + "0 face with tears of joy \n", + "1 red heart \n", + "2 rolling on the floor laughing \n", + "3 thumbs up \n", + "4 loudly crying face \n", + "... ... \n", + "1544 flag: Nauru \n", + "1545 flag: Martinique \n", + "1546 flag: Guadeloupe \n", + "1547 bald \n", + "1548 white hair \n", + "\n", + "[1518 rows x 6 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_copia.reset_index(drop=True)\n", + "df_copia" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "novo_emojis = 'novo_emojis_dani.csv'\n", + "\n", + "df_copia.to_csv(novo_emojis, index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#insights\n", + "#1 - Possível indentificar o ano mais recente e mais antigo da criação dos Emojis;\n", + "#2 - Possível alternar o emoji menos utilizado e o mais utilizado;\n", + "#3 - Otimizar retirando uma coluna de símoblos (Hex) que no momento não foi tão funcional.\n", + "#4 - Criar um novo arquivo csv otimizado (novo_emojis_dani.csv)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/exercicios/para-casa/novo_emojis_dani.csv b/exercicios/para-casa/novo_emojis_dani.csv new file mode 100644 index 0000000..e16c20e --- /dev/null +++ b/exercicios/para-casa/novo_emojis_dani.csv @@ -0,0 +1,1519 @@ +Rank,Emoji,Year,Category,Subcategory,Name +1.0,😂,2010.0,Smileys & Emotion,face-smiling,face with tears of joy +2.0,❤️,2010.0,Smileys & Emotion,emotion,red heart +3.0,🤣,2016.0,Smileys & Emotion,face-smiling,rolling on the floor laughing +4.0,👍,2010.0,People & Body,hand-fingers-closed,thumbs up +5.0,😭,2010.0,Smileys & Emotion,face-concerned,loudly crying face +6.0,🙏,2010.0,People & Body,hands,folded hands +7.0,😘,2010.0,Smileys & Emotion,face-affection,face blowing a kiss +8.0,🥰,2018.0,Smileys & Emotion,face-affection,smiling face with hearts +9.0,😍,2010.0,Smileys & Emotion,face-affection,smiling face with heart-eyes +10.0,😊,2010.0,Smileys & Emotion,face-smiling,smiling face with smiling eyes +11.0,🎉,2010.0,Activities,event,party popper +12.0,😁,2010.0,Smileys & Emotion,face-smiling,beaming face with smiling eyes +13.0,💕,2010.0,Smileys & Emotion,emotion,two hearts +14.0,🥺,2018.0,Smileys & Emotion,face-concerned,pleading face +15.0,😅,2010.0,Smileys & Emotion,face-smiling,grinning face with sweat +16.0,🔥,2010.0,Travel & Places,sky & weather,fire +17.0,☺️,2010.0,Smileys & Emotion,face-affection,smiling face +18.0,🤦,2016.0,People & Body,person-gesture,person facepalming +19.0,♥️,2010.0,Activities,game,heart suit +20.0,🤷,2016.0,People & Body,person-gesture,person shrugging +21.0,🙄,2015.0,Smileys & Emotion,face-neutral-skeptical,face with rolling eyes +22.0,😆,2010.0,Smileys & Emotion,face-smiling,grinning squinting face +23.0,🤗,2015.0,Smileys & Emotion,face-hand,hugging face +24.0,😉,2010.0,Smileys & Emotion,face-smiling,winking face +25.0,🎂,2010.0,Food & Drink,food-sweet,birthday cake +26.0,🤔,2015.0,Smileys & Emotion,face-hand,thinking face +27.0,👏,2010.0,People & Body,hands,clapping hands +28.0,🙂,2015.0,Smileys & Emotion,face-smiling,slightly smiling face +29.0,😳,2010.0,Smileys & Emotion,face-concerned,flushed face +30.0,🥳,2018.0,Smileys & Emotion,face-hat,partying face +31.0,😎,2015.0,Smileys & Emotion,face-glasses,smiling face with sunglasses +32.0,👌,2010.0,People & Body,hand-fingers-partial,OK hand +33.0,💜,2010.0,Smileys & Emotion,emotion,purple heart +34.0,😔,2010.0,Smileys & Emotion,face-sleepy,pensive face +35.0,💪,2010.0,People & Body,body-parts,flexed biceps +36.0,✨,2010.0,Activities,event,sparkles +37.0,💖,2010.0,Smileys & Emotion,emotion,sparkling heart +38.0,👀,2010.0,People & Body,body-parts,eyes +39.0,😋,2010.0,Smileys & Emotion,face-tongue,face savoring food +40.0,😏,2010.0,Smileys & Emotion,face-neutral-skeptical,smirking face +41.0,😢,2010.0,Smileys & Emotion,face-concerned,crying face +42.0,👉,2010.0,People & Body,hand-single-finger,backhand index pointing right +43.0,💗,2010.0,Smileys & Emotion,emotion,growing heart +44.0,😩,2010.0,Smileys & Emotion,face-concerned,weary face +45.0,💯,2010.0,Smileys & Emotion,emotion,hundred points +46.0,🌹,2010.0,Animals & Nature,plant-flower,rose +47.0,💞,2010.0,Smileys & Emotion,emotion,revolving hearts +48.0,🎈,2010.0,Activities,event,balloon +49.0,💙,2010.0,Smileys & Emotion,emotion,blue heart +50.0,😃,2010.0,Smileys & Emotion,face-smiling,grinning face with big eyes +51.0,😡,2010.0,Smileys & Emotion,face-negative,pouting face +52.0,💐,2010.0,Animals & Nature,plant-flower,bouquet +53.0,😜,2010.0,Smileys & Emotion,face-tongue,winking face with tongue +54.0,🙈,2010.0,Smileys & Emotion,monkey-face,see-no-evil monkey +55.0,🤞,2016.0,People & Body,hand-fingers-partial,crossed fingers +56.0,😄,2010.0,Smileys & Emotion,face-smiling,grinning face with smiling eyes +57.0,🤤,2016.0,Smileys & Emotion,face-sleepy,drooling face +58.0,🙌,2010.0,People & Body,hands,raising hands +59.0,🤪,2017.0,Smileys & Emotion,face-tongue,zany face +60.0,❣️,2015.0,Smileys & Emotion,emotion,heart exclamation +61.0,😀,2015.0,Smileys & Emotion,face-smiling,grinning face +62.0,💋,2010.0,Smileys & Emotion,emotion,kiss mark +63.0,💀,2010.0,Smileys & Emotion,face-negative,skull +64.0,👇,2010.0,People & Body,hand-single-finger,backhand index pointing down +65.0,💔,2010.0,Smileys & Emotion,emotion,broken heart +66.0,😌,2010.0,Smileys & Emotion,face-sleepy,relieved face +67.0,💓,2010.0,Smileys & Emotion,emotion,beating heart +68.0,🤩,2017.0,Smileys & Emotion,face-affection,star-struck +69.0,🙃,2015.0,Smileys & Emotion,face-smiling,upside-down face +70.0,😬,2015.0,Smileys & Emotion,face-neutral-skeptical,grimacing face +71.0,😱,2010.0,Smileys & Emotion,face-concerned,face screaming in fear +72.0,😴,2015.0,Smileys & Emotion,face-sleepy,sleeping face +73.0,🤭,2017.0,Smileys & Emotion,face-hand,face with hand over mouth +74.0,😐,2014.0,Smileys & Emotion,face-neutral-skeptical,neutral face +75.0,🌞,2015.0,Travel & Places,sky & weather,sun with face +76.0,😒,2010.0,Smileys & Emotion,face-neutral-skeptical,unamused face +77.0,😇,2015.0,Smileys & Emotion,face-smiling,smiling face with halo +78.0,🌸,2010.0,Animals & Nature,plant-flower,cherry blossom +79.0,😈,2015.0,Smileys & Emotion,face-negative,smiling face with horns +80.0,🎶,2010.0,Objects,music,musical notes +81.0,✌️,2010.0,People & Body,hand-fingers-partial,victory hand +82.0,🎊,2010.0,Activities,event,confetti ball +83.0,🥵,2018.0,Smileys & Emotion,face-unwell,hot face +84.0,😞,2010.0,Smileys & Emotion,face-concerned,disappointed face +85.0,💚,2010.0,Smileys & Emotion,emotion,green heart +86.0,☀️,2010.0,Travel & Places,sky & weather,sun +87.0,🖤,2016.0,Smileys & Emotion,emotion,black heart +88.0,💰,2010.0,Objects,money,money bag +89.0,😚,2010.0,Smileys & Emotion,face-affection,kissing face with closed eyes +90.0,👑,2010.0,Objects,clothing,crown +91.0,🎁,2010.0,Activities,event,wrapped gift +92.0,💥,2010.0,Smileys & Emotion,emotion,collision +93.0,🙋,2010.0,People & Body,person-gesture,person raising hand +94.0,☹️,2014.0,Smileys & Emotion,face-concerned,frowning face +95.0,😑,2015.0,Smileys & Emotion,face-neutral-skeptical,expressionless face +96.0,🥴,2018.0,Smileys & Emotion,face-unwell,woozy face +97.0,👈,2010.0,People & Body,hand-single-finger,backhand index pointing left +98.0,💩,2010.0,Smileys & Emotion,face-costume,pile of poo +99.0,✅,2010.0,Symbols,other-symbol,check mark button +100.0,👋,2010.0,People & Body,hand-fingers-open,waving hand +101.0,🤮,2017.0,Smileys & Emotion,face-unwell,face vomiting +102.0,😤,2010.0,Smileys & Emotion,face-negative,face with steam from nose +103.0,🤢,2016.0,Smileys & Emotion,face-unwell,nauseated face +104.0,🌟,2010.0,Travel & Places,sky & weather,glowing star +105.0,❗,2010.0,Symbols,punctuation,red exclamation mark +106.0,😥,2010.0,Smileys & Emotion,face-concerned,sad but relieved face +107.0,🌈,2010.0,Travel & Places,sky & weather,rainbow +108.0,💛,2010.0,Smileys & Emotion,emotion,yellow heart +109.0,😝,2010.0,Smileys & Emotion,face-tongue,squinting face with tongue +110.0,😫,2010.0,Smileys & Emotion,face-concerned,tired face +111.0,😲,2010.0,Smileys & Emotion,face-concerned,astonished face +112.0,🖕,2015.0,People & Body,hand-single-finger,middle finger +113.0,‼️,2010.0,Symbols,punctuation,double exclamation mark +114.0,🔴,2010.0,Symbols,geometric,red circle +115.0,🌻,2010.0,Animals & Nature,plant-flower,sunflower +116.0,🤯,2017.0,Smileys & Emotion,face-unwell,exploding head +117.0,💃,2010.0,People & Body,person-activity,woman dancing +118.0,👊,2010.0,People & Body,hand-fingers-closed,oncoming fist +119.0,🤬,2017.0,Smileys & Emotion,face-negative,face with symbols on mouth +120.0,🏃,2010.0,People & Body,person-activity,person running +121.0,😕,2015.0,Smileys & Emotion,face-concerned,confused face +122.0,👁️,2014.0,People & Body,body-parts,eye +123.0,⚡,2010.0,Travel & Places,sky & weather,high voltage +124.0,☕,2010.0,Food & Drink,drink,hot beverage +125.0,🍀,2010.0,Animals & Nature,plant-other,four leaf clover +126.0,💦,2010.0,Smileys & Emotion,emotion,sweat droplets +127.0,⭐,2010.0,Travel & Places,sky & weather,star +128.0,🦋,2016.0,Animals & Nature,animal-bug,butterfly +129.0,🤨,2017.0,Smileys & Emotion,face-neutral-skeptical,face with raised eyebrow +130.0,🌺,2010.0,Animals & Nature,plant-flower,hibiscus +131.0,😹,2010.0,Smileys & Emotion,cat-face,cat with tears of joy +132.0,🤘,2015.0,People & Body,hand-fingers-partial,sign of the horns +133.0,🌷,2010.0,Animals & Nature,plant-flower,tulip +134.0,💝,2010.0,Smileys & Emotion,emotion,heart with ribbon +135.0,💤,2010.0,Smileys & Emotion,emotion,zzz +136.0,🤝,2016.0,People & Body,hands,handshake +137.0,🐰,2010.0,Animals & Nature,animal-mammal,rabbit face +138.0,😓,2010.0,Smileys & Emotion,face-concerned,downcast face with sweat +139.0,💘,2010.0,Smileys & Emotion,emotion,heart with arrow +140.0,🍻,2010.0,Food & Drink,drink,clinking beer mugs +141.0,😟,2015.0,Smileys & Emotion,face-concerned,worried face +142.0,😣,2010.0,Smileys & Emotion,face-concerned,persevering face +143.0,🧐,2017.0,Smileys & Emotion,face-glasses,face with monocle +144.0,😠,2010.0,Smileys & Emotion,face-negative,angry face +145.0,🤠,2016.0,Smileys & Emotion,face-hat,cowboy hat face +146.0,😻,2010.0,Smileys & Emotion,cat-face,smiling cat with heart-eyes +147.0,🌙,2010.0,Travel & Places,sky & weather,crescent moon +148.0,😛,2015.0,Smileys & Emotion,face-tongue,face with tongue +149.0,🤙,2016.0,People & Body,hand-fingers-partial,call me hand +150.0,🙊,2010.0,Smileys & Emotion,monkey-face,speak-no-evil monkey +151.0,🧡,2017.0,Smileys & Emotion,emotion,orange heart +152.0,🤡,2016.0,Smileys & Emotion,face-costume,clown face +153.0,🤫,2017.0,Smileys & Emotion,face-hand,shushing face +154.0,🌼,2010.0,Animals & Nature,plant-flower,blossom +155.0,🥂,2016.0,Food & Drink,drink,clinking glasses +156.0,😷,2010.0,Smileys & Emotion,face-unwell,face with medical mask +157.0,🤓,2015.0,Smileys & Emotion,face-glasses,nerd face +158.0,☠️,2015.0,Smileys & Emotion,face-negative,skull and crossbones +159.0,🥶,2018.0,Smileys & Emotion,face-unwell,cold face +160.0,😶,2015.0,Smileys & Emotion,face-neutral-skeptical,face without mouth +161.0,😖,2010.0,Smileys & Emotion,face-concerned,confounded face +162.0,🎵,2010.0,Objects,music,musical note +163.0,🚶,2010.0,People & Body,person-activity,person walking +164.0,😙,2015.0,Smileys & Emotion,face-affection,kissing face with smiling eyes +165.0,🍆,2010.0,Food & Drink,food-vegetable,eggplant +166.0,🤑,2015.0,Smileys & Emotion,face-tongue,money-mouth face +167.0,💅,2010.0,People & Body,hand-prop,nail polish +168.0,😗,2015.0,Smileys & Emotion,face-affection,kissing face +169.0,🐶,2010.0,Animals & Nature,animal-mammal,dog face +170.0,🍓,2010.0,Food & Drink,food-fruit,strawberry +171.0,✋,2010.0,People & Body,hand-fingers-open,raised hand +172.0,👅,2010.0,People & Body,body-parts,tongue +173.0,👄,2010.0,People & Body,body-parts,mouth +174.0,🌿,2010.0,Animals & Nature,plant-other,herb +175.0,🚨,2010.0,Travel & Places,transport-ground,police car light +176.0,➡️,2010.0,Symbols,arrow,right arrow +177.0,📣,2010.0,Objects,sound,megaphone +178.0,🤟,2017.0,People & Body,hand-fingers-partial,love-you gesture +179.0,🍑,2010.0,Food & Drink,food-fruit,peach +180.0,🍃,2010.0,Animals & Nature,plant-other,leaf fluttering in wind +181.0,😮,2015.0,Smileys & Emotion,face-concerned,face with open mouth +182.0,💎,2010.0,Objects,clothing,gem stone +183.0,📢,2010.0,Objects,sound,loudspeaker +184.0,🌱,2010.0,Animals & Nature,plant-other,seedling +185.0,⚠️,2010.0,Symbols,warning,warning +186.0,🙁,2015.0,Smileys & Emotion,face-concerned,slightly frowning face +187.0,🍷,2010.0,Food & Drink,drink,wine glass +188.0,😪,2010.0,Smileys & Emotion,face-sleepy,sleepy face +189.0,🌚,2015.0,Travel & Places,sky & weather,new moon face +190.0,🏆,2010.0,Activities,award-medal,trophy +191.0,🍒,2010.0,Food & Drink,food-fruit,cherries +192.0,✔️,2010.0,Symbols,other-symbol,check mark +193.0,💉,2010.0,Objects,medical,syringe +194.0,❌,2010.0,Symbols,other-symbol,cross mark +195.0,💢,2010.0,Smileys & Emotion,emotion,anger symbol +196.0,🛒,2016.0,Objects,household,shopping cart +197.0,😸,2010.0,Smileys & Emotion,cat-face,grinning cat with smiling eyes +198.0,🐾,2010.0,Animals & Nature,animal-mammal,paw prints +199.0,👎,2010.0,People & Body,hand-fingers-closed,thumbs down +200.0,🚀,2010.0,Travel & Places,transport-air,rocket +201.0,🎯,2010.0,Activities,game,bullseye +202.0,☝️,2010.0,People & Body,hand-single-finger,index pointing up +203.0,🍺,2010.0,Food & Drink,drink,beer mug +204.0,📌,2010.0,Objects,office,pushpin +205.0,📷,2010.0,Objects,light & video,camera +206.0,🙇,2010.0,People & Body,person-gesture,person bowing +207.0,💨,2010.0,Smileys & Emotion,emotion,dashing away +208.0,🍕,2010.0,Food & Drink,food-prepared,pizza +209.0,🏠,2010.0,Travel & Places,place-building,house +210.0,📸,2015.0,Objects,light & video,camera with flash +211.0,🐇,2015.0,Animals & Nature,animal-mammal,rabbit +212.0,🚩,2010.0,Flags,flag,triangular flag +213.0,😰,2010.0,Smileys & Emotion,face-concerned,anxious face with sweat +214.0,👶,2010.0,People & Body,person,baby +215.0,🌊,2010.0,Travel & Places,sky & weather,water wave +216.0,🐕,2014.0,Animals & Nature,animal-mammal,dog +217.0,💫,2010.0,Smileys & Emotion,emotion,dizzy +218.0,😵,2010.0,Smileys & Emotion,face-unwell,knocked-out face +219.0,🎤,2010.0,Objects,music,microphone +220.0,🏡,2010.0,Travel & Places,place-building,house with garden +221.0,🥀,2016.0,Animals & Nature,plant-flower,wilted flower +222.0,🤧,2016.0,Smileys & Emotion,face-unwell,sneezing face +223.0,🍾,2015.0,Food & Drink,drink,bottle with popping cork +224.0,🍰,2010.0,Food & Drink,food-sweet,shortcake +225.0,🍁,2010.0,Animals & Nature,plant-other,maple leaf +226.0,🤲,2017.0,People & Body,hands,palms up together +227.0,⬇️,2010.0,Symbols,arrow,down arrow +228.0,👆,2010.0,People & Body,hand-single-finger,backhand index pointing up +229.0,😯,2015.0,Smileys & Emotion,face-concerned,hushed face +230.0,✊,2010.0,People & Body,hand-fingers-closed,raised fist +231.0,💌,2010.0,Smileys & Emotion,emotion,love letter +232.0,❄️,2010.0,Travel & Places,sky & weather,snowflake +233.0,💸,2010.0,Objects,money,money with wings +234.0,🧁,2018.0,Food & Drink,food-sweet,cupcake +235.0,⚽,2010.0,Activities,sport,soccer ball +236.0,🇺🇸,2010.0,Flags,country-flag,flag: United States +237.0,❓,2010.0,Symbols,punctuation,red question mark +238.0,🕺,2016.0,People & Body,person-activity,man dancing +239.0,⁉️,2010.0,Symbols,punctuation,exclamation question mark +240.0,😺,2010.0,Smileys & Emotion,cat-face,grinning cat +241.0,💧,2010.0,Travel & Places,sky & weather,droplet +242.0,💣,2010.0,Smileys & Emotion,emotion,bomb +243.0,🤐,2015.0,Smileys & Emotion,face-neutral-skeptical,zipper-mouth face +244.0,🍎,2010.0,Food & Drink,food-fruit,red apple +245.0,🐷,2010.0,Animals & Nature,animal-mammal,pig face +246.0,🐥,2010.0,Animals & Nature,animal-bird,front-facing baby chick +247.0,💁,2010.0,People & Body,person-gesture,person tipping hand +248.0,📍,2010.0,Objects,office,round pushpin +249.0,🎀,2010.0,Activities,event,ribbon +250.0,🙅,2010.0,People & Body,person-gesture,person gesturing NO +251.0,🥇,2016.0,Activities,award-medal,1st place medal +252.0,🌝,2015.0,Travel & Places,sky & weather,full moon face +253.0,🔫,2010.0,Objects,tool,water pistol +254.0,☎️,2010.0,Objects,phone,telephone +255.0,🐱,2010.0,Animals & Nature,animal-mammal,cat face +256.0,🐣,2010.0,Animals & Nature,animal-bird,hatching chick +257.0,✝️,2014.0,Symbols,religion,latin cross +258.0,🎧,2010.0,Objects,music,headphone +259.0,💟,2010.0,Smileys & Emotion,emotion,heart decoration +260.0,👹,2010.0,Smileys & Emotion,face-costume,ogre +261.0,💍,2010.0,Objects,clothing,ring +262.0,🍼,2015.0,Food & Drink,drink,baby bottle +263.0,🖐️,2014.0,People & Body,hand-fingers-open,hand with fingers splayed +264.0,💡,2010.0,Objects,light & video,light bulb +265.0,😽,2010.0,Smileys & Emotion,cat-face,kissing cat +266.0,🍊,2010.0,Food & Drink,food-fruit,tangerine +267.0,😨,2010.0,Smileys & Emotion,face-concerned,fearful face +268.0,🍫,2010.0,Food & Drink,food-sweet,chocolate bar +269.0,🧢,2017.0,Objects,clothing,billed cap +270.0,🤕,2015.0,Smileys & Emotion,face-unwell,face with head-bandage +271.0,☘️,2015.0,Animals & Nature,plant-other,shamrock +272.0,🚫,2010.0,Symbols,warning,prohibited +273.0,🎼,2010.0,Objects,music,musical score +274.0,🐻,2010.0,Animals & Nature,animal-mammal,bear +275.0,📲,2010.0,Objects,phone,mobile phone with arrow +276.0,👻,2010.0,Smileys & Emotion,face-costume,ghost +277.0,🗣️,2014.0,People & Body,person-symbol,speaking head +278.0,👿,2010.0,Smileys & Emotion,face-negative,angry face with horns +279.0,🧚,2017.0,People & Body,person-fantasy,fairy +280.0,🌮,2015.0,Food & Drink,food-prepared,taco +281.0,🍭,2010.0,Food & Drink,food-sweet,lollipop +282.0,🐟,2010.0,Animals & Nature,animal-marine,fish +283.0,🐸,2010.0,Animals & Nature,animal-amphibian,frog +284.0,🐝,2010.0,Animals & Nature,animal-bug,honeybee +285.0,🐈,2014.0,Animals & Nature,animal-mammal,cat +286.0,🔵,2010.0,Symbols,geometric,blue circle +287.0,🌧️,2014.0,Travel & Places,sky & weather,cloud with rain +288.0,🔪,2010.0,Food & Drink,dishware,kitchen knife +289.0,😧,2015.0,Smileys & Emotion,face-concerned,anguished face +290.0,🌄,2010.0,Travel & Places,place-other,sunrise over mountains +291.0,😾,2010.0,Smileys & Emotion,cat-face,pouting cat +292.0,✈️,2010.0,Travel & Places,transport-air,airplane +293.0,🤸,2016.0,People & Body,person-sport,person cartwheeling +294.0,📱,2010.0,Objects,phone,mobile phone +295.0,🍇,2010.0,Food & Drink,food-fruit,grapes +296.0,🌴,2010.0,Animals & Nature,plant-other,palm tree +297.0,🐢,2010.0,Animals & Nature,animal-reptile,turtle +298.0,🌃,2010.0,Travel & Places,place-other,night with stars +299.0,👽,2010.0,Smileys & Emotion,face-costume,alien +300.0,🍌,2010.0,Food & Drink,food-fruit,banana +301.0,📺,2010.0,Objects,light & video,television +302.0,👐,2010.0,People & Body,hands,open hands +303.0,⏰,2010.0,Travel & Places,time,alarm clock +304.0,🔔,2010.0,Objects,sound,bell +305.0,🌅,2010.0,Travel & Places,place-other,sunrise +306.0,🦄,2015.0,Animals & Nature,animal-mammal,unicorn +307.0,⭕,2010.0,Symbols,other-symbol,hollow red circle +308.0,🎥,2010.0,Objects,light & video,movie camera +309.0,▶️,2010.0,Symbols,av-symbol,play button +310.0,🍋,2015.0,Food & Drink,food-fruit,lemon +311.0,🥚,2016.0,Food & Drink,food-prepared,egg +312.0,💲,2010.0,Symbols,currency,heavy dollar sign +313.0,📚,2010.0,Objects,book-paper,books +314.0,🐔,2010.0,Animals & Nature,animal-bird,chicken +315.0,🎸,2010.0,Objects,musical-instrument,guitar +316.0,🥃,2016.0,Food & Drink,drink,tumbler glass +317.0,😿,2010.0,Smileys & Emotion,cat-face,crying cat +318.0,🚗,2010.0,Travel & Places,transport-ground,automobile +319.0,🌎,2014.0,Travel & Places,place-map,globe showing Americas +320.0,🕊️,2014.0,Animals & Nature,animal-bird,dove +321.0,🔊,2010.0,Objects,sound,speaker high volume +322.0,🦅,2016.0,Animals & Nature,animal-bird,eagle +323.0,🚿,2015.0,Objects,household,shower +324.0,🦆,2016.0,Animals & Nature,animal-bird,duck +325.0,🍉,2010.0,Food & Drink,food-fruit,watermelon +326.0,🍬,2010.0,Food & Drink,food-sweet,candy +327.0,🧸,2018.0,Activities,game,teddy bear +328.0,✍️,2014.0,People & Body,hand-prop,writing hand +329.0,🍨,2010.0,Food & Drink,food-sweet,ice cream +330.0,📝,2010.0,Objects,writing,memo +331.0,🤚,2016.0,People & Body,hand-fingers-open,raised back of hand +332.0,📩,2010.0,Objects,mail,envelope with arrow +333.0,💵,2010.0,Objects,money,dollar banknote +334.0,👼,2010.0,People & Body,person-fantasy,baby angel +335.0,💭,2015.0,Smileys & Emotion,emotion,thought balloon +336.0,🌍,2014.0,Travel & Places,place-map,globe showing Europe-Africa +337.0,⬅️,2010.0,Symbols,arrow,left arrow +338.0,⚫,2010.0,Symbols,geometric,black circle +339.0,👧,2010.0,People & Body,person,girl +340.0,🏵️,2014.0,Animals & Nature,plant-flower,rosette +341.0,🤜,2016.0,People & Body,hand-fingers-closed,right-facing fist +342.0,🍿,2015.0,Food & Drink,food-prepared,popcorn +343.0,🧿,2018.0,Activities,game,nazar amulet +344.0,🏀,2010.0,Activities,sport,basketball +345.0,🍏,2010.0,Food & Drink,food-fruit,green apple +346.0,🌳,2015.0,Animals & Nature,plant-other,deciduous tree +347.0,🙉,2010.0,Smileys & Emotion,monkey-face,hear-no-evil monkey +348.0,😦,2015.0,Smileys & Emotion,face-concerned,frowning face with open mouth +349.0,⚾,2010.0,Activities,sport,baseball +350.0,🤰,2016.0,People & Body,person-role,pregnant woman +351.0,🍹,2010.0,Food & Drink,drink,tropical drink +352.0,🍦,2010.0,Food & Drink,food-sweet,soft ice cream +353.0,🛑,2016.0,Travel & Places,transport-ground,stop sign +354.0,🧘,2017.0,People & Body,person-resting,person in lotus position +355.0,🍔,2010.0,Food & Drink,food-prepared,hamburger +356.0,🏖️,2014.0,Travel & Places,place-geographic,beach with umbrella +357.0,🍂,2010.0,Animals & Nature,plant-other,fallen leaf +358.0,🐒,2010.0,Animals & Nature,animal-mammal,monkey +359.0,🍪,2010.0,Food & Drink,food-sweet,cookie +360.0,🙀,2010.0,Smileys & Emotion,cat-face,weary cat +361.0,🍗,2010.0,Food & Drink,food-prepared,poultry leg +362.0,🌠,2010.0,Travel & Places,sky & weather,shooting star +363.0,🎬,2010.0,Objects,light & video,clapper board +364.0,🌵,2010.0,Animals & Nature,plant-other,cactus +365.0,🍄,2010.0,Food & Drink,food-vegetable,mushroom +366.0,🐐,2015.0,Animals & Nature,animal-mammal,goat +367.0,🍩,2010.0,Food & Drink,food-sweet,doughnut +368.0,🦁,2015.0,Animals & Nature,animal-mammal,lion +369.0,🙆,2010.0,People & Body,person-gesture,person gesturing OK +370.0,📞,2010.0,Objects,phone,telephone receiver +371.0,👸,2010.0,People & Body,person-role,princess +372.0,🍅,2010.0,Food & Drink,food-fruit,tomato +373.0,🐍,2010.0,Animals & Nature,animal-reptile,snake +374.0,👦,2010.0,People & Body,person,boy +375.0,💬,2010.0,Smileys & Emotion,emotion,speech balloon +376.0,🥤,2017.0,Food & Drink,drink,cup with straw +377.0,🏳️‍🌈,2016.0,Flags,flag,rainbow flag +378.0,😼,2010.0,Smileys & Emotion,cat-face,cat with wry smile +379.0,🌾,2010.0,Animals & Nature,plant-other,sheaf of rice +380.0,🧀,2015.0,Food & Drink,food-prepared,cheese wedge +381.0,☁️,2010.0,Travel & Places,sky & weather,cloud +382.0,🎮,2010.0,Activities,game,video game +383.0,🧠,2017.0,People & Body,body-parts,brain +384.0,☔,2010.0,Travel & Places,sky & weather,umbrella with rain drops +385.0,🌏,2010.0,Travel & Places,place-map,globe showing Asia-Australia +386.0,🛌,2015.0,People & Body,person-resting,person in bed +387.0,🔝,2010.0,Symbols,arrow,TOP arrow +388.0,🌉,2010.0,Travel & Places,place-other,bridge at night +389.0,🤛,2016.0,People & Body,hand-fingers-closed,left-facing fist +390.0,🤒,2015.0,Smileys & Emotion,face-unwell,face with thermometer +391.0,👗,2010.0,Objects,clothing,dress +392.0,⚪,2010.0,Symbols,geometric,white circle +393.0,🌲,2015.0,Animals & Nature,plant-other,evergreen tree +394.0,☑️,2010.0,Symbols,other-symbol,check box with check +395.0,🍜,2010.0,Food & Drink,food-asian,steaming bowl +396.0,🐦,2010.0,Animals & Nature,animal-bird,bird +397.0,🍯,2010.0,Food & Drink,food-sweet,honey pot +398.0,👮,2010.0,People & Body,person-role,police officer +399.0,🏅,2015.0,Activities,award-medal,sports medal +400.0,🐼,2010.0,Animals & Nature,animal-mammal,panda +401.0,💄,2010.0,Objects,clothing,lipstick +402.0,👺,2010.0,Smileys & Emotion,face-costume,goblin +403.0,🔞,2010.0,Symbols,warning,no one under eighteen +404.0,🎆,2010.0,Activities,event,fireworks +405.0,🎨,2010.0,Activities,arts & crafts,artist palette +406.0,🇧🇷,2015.0,Flags,country-flag,flag: Brazil +407.0,🍞,2010.0,Food & Drink,food-prepared,bread +408.0,🎇,2010.0,Activities,event,sparkler +409.0,🦜,2018.0,Animals & Nature,animal-bird,parrot +410.0,🐑,2010.0,Animals & Nature,animal-mammal,ewe +411.0,🐙,2010.0,Animals & Nature,animal-marine,octopus +412.0,🦍,2016.0,Animals & Nature,animal-mammal,gorilla +413.0,🇺🇲,2015.0,Flags,country-flag,flag: U.S. Outlying Islands +414.0,🔗,2010.0,Objects,tool,link +415.0,📖,2010.0,Objects,book-paper,open book +416.0,♻️,2010.0,Symbols,other-symbol,recycling symbol +417.0,🔹,2010.0,Symbols,geometric,small blue diamond +418.0,🥓,2016.0,Food & Drink,food-prepared,bacon +419.0,🥒,2016.0,Food & Drink,food-vegetable,cucumber +420.0,🍸,2010.0,Food & Drink,drink,cocktail glass +421.0,🥧,2017.0,Food & Drink,food-sweet,pie +422.0,♨️,2010.0,Travel & Places,place-other,hot springs +423.0,💻,2010.0,Objects,computer,laptop +424.0,🐖,2015.0,Animals & Nature,animal-mammal,pig +425.0,⚔️,2015.0,Objects,tool,crossed swords +426.0,📈,2010.0,Objects,office,chart increasing +427.0,⛱️,2014.0,Travel & Places,sky & weather,umbrella on ground +428.0,💊,2010.0,Objects,medical,pill +429.0,👩,2010.0,People & Body,person,woman +430.0,🌀,2010.0,Travel & Places,sky & weather,cyclone +431.0,💆,2010.0,People & Body,person-activity,person getting massage +432.0,🥩,2017.0,Food & Drink,food-prepared,cut of meat +433.0,🎄,2010.0,Activities,event,Christmas tree +434.0,🌽,2010.0,Food & Drink,food-vegetable,ear of corn +435.0,🤥,2016.0,Smileys & Emotion,face-neutral-skeptical,lying face +436.0,🏘️,2014.0,Travel & Places,place-building,houses +437.0,🐎,2010.0,Animals & Nature,animal-mammal,horse +438.0,🆘,2010.0,Symbols,alphanum,SOS button +439.0,🇮🇳,2015.0,Flags,country-flag,flag: India +440.0,1️⃣,2010.0,Symbols,keycap,keycap: 1 +441.0,🕯️,2014.0,Objects,light & video,candle +442.0,🇨🇦,2015.0,Flags,country-flag,flag: Canada +443.0,💏,2010.0,People & Body,family,kiss +444.0,🥕,2016.0,Food & Drink,food-vegetable,carrot +445.0,🗑️,2014.0,Objects,office,wastebasket +446.0,🔮,2010.0,Activities,game,crystal ball +447.0,🦀,2015.0,Food & Drink,food-marine,crab +448.0,🐠,2010.0,Animals & Nature,animal-marine,tropical fish +449.0,🌛,2010.0,Travel & Places,sky & weather,first quarter moon face +450.0,👠,2010.0,Objects,clothing,high-heeled shoe +451.0,☮️,2015.0,Symbols,religion,peace symbol +452.0,🐓,2015.0,Animals & Nature,animal-bird,rooster +453.0,🥊,2016.0,Activities,sport,boxing glove +454.0,🇹🇷,2015.0,Flags,country-flag,flag: Turkey +455.0,🛐,2015.0,Symbols,religion,place of worship +456.0,🚬,2010.0,Objects,other-object,cigarette +457.0,🔰,2010.0,Symbols,other-symbol,Japanese symbol for beginner +458.0,🌜,2014.0,Travel & Places,sky & weather,last quarter moon face +459.0,🍴,2010.0,Food & Drink,dishware,fork and knife +460.0,🥔,2016.0,Food & Drink,food-vegetable,potato +461.0,🎓,2010.0,Objects,clothing,graduation cap +462.0,👙,2010.0,Objects,clothing,bikini +463.0,🗿,2010.0,Objects,other-object,moai +464.0,🥑,2016.0,Food & Drink,food-vegetable,avocado +465.0,👯,2010.0,People & Body,person-activity,people with bunny ears +466.0,🍍,2010.0,Food & Drink,food-fruit,pineapple +467.0,⛽,2010.0,Travel & Places,transport-ground,fuel pump +468.0,🏁,2010.0,Flags,flag,chequered flag +469.0,👂,2010.0,People & Body,body-parts,ear +470.0,🦊,2016.0,Animals & Nature,animal-mammal,fox +471.0,👃,2010.0,People & Body,body-parts,nose +472.0,🦖,2017.0,Animals & Nature,animal-reptile,T-Rex +473.0,🐴,2010.0,Animals & Nature,animal-mammal,horse face +474.0,✉️,2010.0,Objects,mail,envelope +475.0,🎃,2010.0,Activities,event,jack-o-lantern +476.0,🌶️,2014.0,Food & Drink,food-vegetable,hot pepper +477.0,🦠,2018.0,Animals & Nature,animal-bug,microbe +478.0,🌕,2010.0,Travel & Places,sky & weather,full moon +479.0,📦,2010.0,Objects,mail,package +480.0,🌌,2010.0,Travel & Places,sky & weather,milky way +481.0,⛳,2010.0,Activities,sport,flag in hole +482.0,🍧,2010.0,Food & Drink,food-sweet,shaved ice +483.0,🍟,2010.0,Food & Drink,food-prepared,french fries +484.0,⚰️,2015.0,Objects,other-object,coffin +485.0,🎹,2010.0,Objects,musical-instrument,musical keyboard +486.0,🐿️,2014.0,Animals & Nature,animal-mammal,chipmunk +487.0,🇲🇽,2015.0,Flags,country-flag,flag: Mexico +488.0,🥞,2016.0,Food & Drink,food-prepared,pancakes +489.0,2️⃣,2010.0,Symbols,keycap,keycap: 2 +490.0,👣,2010.0,People & Body,person-symbol,footprints +491.0,🍽️,2014.0,Food & Drink,dishware,fork and knife with plate +492.0,🥜,2016.0,Food & Drink,food-vegetable,peanuts +493.0,🕳️,2014.0,Smileys & Emotion,emotion,hole +494.0,🍡,2010.0,Food & Drink,food-asian,dango +495.0,⤵️,2010.0,Symbols,arrow,right arrow curving down +496.0,🦷,2018.0,People & Body,body-parts,tooth +497.0,🚴,2015.0,People & Body,person-sport,person biking +498.0,🍝,2010.0,Food & Drink,food-asian,spaghetti +499.0,🎻,2010.0,Objects,musical-instrument,violin +500.0,🐊,2015.0,Animals & Nature,animal-reptile,crocodile +501.0,🍖,2010.0,Food & Drink,food-prepared,meat on bone +502.0,🐺,2010.0,Animals & Nature,animal-mammal,wolf +503.0,🐽,2010.0,Animals & Nature,animal-mammal,pig nose +504.0,🚮,2015.0,Symbols,transport-sign,litter in bin sign +505.0,🍵,2010.0,Food & Drink,drink,teacup without handle +506.0,🌭,2015.0,Food & Drink,food-prepared,hot dog +507.0,🐄,2015.0,Animals & Nature,animal-mammal,cow +508.0,⬆️,2010.0,Symbols,arrow,up arrow +509.0,🥁,2016.0,Objects,musical-instrument,drum +510.0,🍳,2010.0,Food & Drink,food-prepared,cooking +511.0,👫,2010.0,People & Body,family,woman and man holding hands +512.0,⌚,2010.0,Travel & Places,time,watch +513.0,♦️,2010.0,Activities,game,diamond suit +514.0,🔆,2015.0,Symbols,av-symbol,bright button +515.0,🐳,2010.0,Animals & Nature,animal-marine,spouting whale +516.0,🌯,2015.0,Food & Drink,food-prepared,burrito +517.0,🦴,2018.0,People & Body,body-parts,bone +518.0,🥪,2017.0,Food & Drink,food-prepared,sandwich +519.0,🦃,2015.0,Animals & Nature,animal-bird,turkey +520.0,🎣,2010.0,Activities,sport,fishing pole +521.0,🔻,2010.0,Symbols,geometric,red triangle pointed down +522.0,🐀,2015.0,Animals & Nature,animal-mammal,rat +523.0,🐬,2010.0,Animals & Nature,animal-marine,dolphin +524.0,🍚,2010.0,Food & Drink,food-asian,cooked rice +525.0,🤖,2015.0,Smileys & Emotion,face-costume,robot +526.0,🐧,2010.0,Animals & Nature,animal-bird,penguin +527.0,🦈,2016.0,Animals & Nature,animal-marine,shark +528.0,🏄,2010.0,People & Body,person-sport,person surfing +529.0,🏋️,2014.0,People & Body,person-sport,person lifting weights +530.0,🏈,2010.0,Activities,sport,american football +531.0,🧬,2018.0,Objects,science,dna +532.0,🌐,2015.0,Travel & Places,place-map,globe with meridians +533.0,🔍,2010.0,Objects,light & video,magnifying glass tilted left +534.0,☄️,2015.0,Travel & Places,sky & weather,comet +535.0,📴,2010.0,Symbols,av-symbol,mobile phone off +536.0,🥦,2017.0,Food & Drink,food-vegetable,broccoli +537.0,🐯,2010.0,Animals & Nature,animal-mammal,tiger face +538.0,🅰️,2010.0,Symbols,alphanum,A button (blood type) +539.0,♾️,2018.0,Symbols,math,infinity +540.0,📮,2010.0,Objects,mail,postbox +541.0,🥛,2016.0,Food & Drink,drink,glass of milk +542.0,🥭,2018.0,Food & Drink,food-fruit,mango +543.0,🖖,2015.0,People & Body,hand-fingers-open,vulcan salute +544.0,🐛,2010.0,Animals & Nature,animal-bug,bug +545.0,🦞,2018.0,Food & Drink,food-marine,lobster +546.0,🇮🇹,2010.0,Flags,country-flag,flag: Italy +547.0,🐤,2010.0,Animals & Nature,animal-bird,baby chick +548.0,🧟,2017.0,People & Body,person-fantasy,zombie +549.0,🍤,2010.0,Food & Drink,food-asian,fried shrimp +550.0,🦐,2016.0,Food & Drink,food-marine,shrimp +551.0,🎭,2010.0,Activities,arts & crafts,performing arts +552.0,🐞,2010.0,Animals & Nature,animal-bug,lady beetle +553.0,🐵,2010.0,Animals & Nature,animal-mammal,monkey face +554.0,🍣,2010.0,Food & Drink,food-asian,sushi +555.0,🥗,2016.0,Food & Drink,food-prepared,green salad +556.0,✂️,2010.0,Objects,office,scissors +557.0,🆔,2010.0,Symbols,alphanum,ID button +558.0,🔑,2010.0,Objects,lock,key +559.0,👴,2010.0,People & Body,person,old man +560.0,🤴,2016.0,People & Body,person-role,prince +561.0,🗡️,2014.0,Objects,tool,dagger +562.0,👵,2010.0,People & Body,person,old woman +563.0,🤳,2016.0,People & Body,hand-prop,selfie +564.0,🧨,2018.0,Activities,event,firecracker +565.0,⬛,2010.0,Symbols,geometric,black large square +566.0,👤,2010.0,People & Body,person-symbol,bust in silhouette +567.0,🎩,2010.0,Objects,clothing,top hat +568.0,🔙,2010.0,Symbols,arrow,BACK arrow +569.0,🥫,2017.0,Food & Drink,food-prepared,canned food +570.0,🏞️,2014.0,Travel & Places,place-geographic,national park +571.0,🆕,2010.0,Symbols,alphanum,NEW button +572.0,🥐,2016.0,Food & Drink,food-prepared,croissant +573.0,👰,2010.0,People & Body,person-role,person with veil +574.0,♠️,2010.0,Activities,game,spade suit +575.0,🌬️,2014.0,Travel & Places,sky & weather,wind face +576.0,💳,2010.0,Objects,money,credit card +577.0,🌨️,2014.0,Travel & Places,sky & weather,cloud with snow +578.0,🕷️,2014.0,Animals & Nature,animal-bug,spider +579.0,🇯🇵,2010.0,Flags,country-flag,flag: Japan +580.0,🐚,2010.0,Animals & Nature,animal-marine,spiral shell +581.0,🌆,2010.0,Travel & Places,place-other,cityscape at dusk +582.0,⚓,2010.0,Travel & Places,transport-water,anchor +583.0,🆗,2010.0,Symbols,alphanum,OK button +584.0,🇬🇧,2010.0,Flags,country-flag,flag: United Kingdom +585.0,🤱,2017.0,People & Body,person-role,breast-feeding +586.0,👭,2015.0,People & Body,family,women holding hands +587.0,🦇,2016.0,Animals & Nature,animal-mammal,bat +588.0,✖️,2010.0,Symbols,math,multiply +589.0,👨,2010.0,People & Body,person,man +590.0,🕵️,2014.0,People & Body,person-role,detective +591.0,🦗,2017.0,Animals & Nature,animal-bug,cricket +593.0,🦕,2017.0,Animals & Nature,animal-reptile,sauropod +594.0,🏹,2015.0,Objects,tool,bow and arrow +595.0,🐮,2010.0,Animals & Nature,animal-mammal,cow face +596.0,🚲,2010.0,Travel & Places,transport-ground,bicycle +597.0,💑,2010.0,People & Body,family,couple with heart +598.0,🛏️,2014.0,Objects,household,bed +599.0,🏌️,2014.0,People & Body,person-sport,person golfing +600.0,🚒,2010.0,Travel & Places,transport-ground,fire engine +601.0,🦎,2016.0,Animals & Nature,animal-reptile,lizard +602.0,🦉,2016.0,Animals & Nature,animal-bird,owl +603.0,🐂,2015.0,Animals & Nature,animal-mammal,ox +604.0,🍈,2010.0,Food & Drink,food-fruit,melon +605.0,🚭,2010.0,Symbols,warning,no smoking +606.0,🐘,2010.0,Animals & Nature,animal-mammal,elephant +607.0,🚙,2010.0,Travel & Places,transport-ground,sport utility vehicle +608.0,🔨,2010.0,Objects,tool,hammer +609.0,✏️,2010.0,Objects,writing,pencil +610.0,⏩,2010.0,Symbols,av-symbol,fast-forward button +611.0,🎙️,2014.0,Objects,music,studio microphone +612.0,📄,2010.0,Objects,book-paper,page facing up +613.0,🥎,2018.0,Activities,sport,softball +614.0,🔒,2010.0,Objects,lock,locked +615.0,🅱️,2010.0,Symbols,alphanum,B button (blood type) +616.0,🎱,2010.0,Activities,game,pool 8 ball +617.0,3️⃣,2010.0,Symbols,keycap,keycap: 3 +618.0,🌪️,2014.0,Travel & Places,sky & weather,tornado +619.0,🦵,2018.0,People & Body,body-parts,leg +620.0,🏊,2010.0,People & Body,person-sport,person swimming +621.0,🛵,2016.0,Travel & Places,transport-ground,motor scooter +622.0,🕶️,2014.0,Objects,clothing,sunglasses +623.0,🔎,2010.0,Objects,light & video,magnifying glass tilted right +624.0,👟,2010.0,Objects,clothing,running shoe +625.0,🆒,2010.0,Symbols,alphanum,COOL button +626.0,〰️,2010.0,Symbols,punctuation,wavy dash +627.0,🔱,2010.0,Symbols,other-symbol,trident emblem +628.0,🦌,2016.0,Animals & Nature,animal-mammal,deer +629.0,🥈,2016.0,Activities,award-medal,2nd place medal +630.0,🚚,2010.0,Travel & Places,transport-ground,delivery truck +631.0,♈,2010.0,Symbols,zodiac,Aries +632.0,🐜,2010.0,Animals & Nature,animal-bug,ant +633.0,🎲,2010.0,Activities,game,game die +634.0,💠,2010.0,Symbols,geometric,diamond with a dot +635.0,🥝,2016.0,Food & Drink,food-fruit,kiwi fruit +636.0,🦶,2018.0,People & Body,body-parts,foot +637.0,👾,2010.0,Smileys & Emotion,face-costume,alien monster +638.0,💮,2010.0,Animals & Nature,plant-flower,white flower +639.0,🦑,2016.0,Food & Drink,food-marine,squid +640.0,🔺,2010.0,Symbols,geometric,red triangle pointed up +641.0,🐁,2015.0,Animals & Nature,animal-mammal,mouse +642.0,⛈️,2014.0,Travel & Places,sky & weather,cloud with lightning and rain +643.0,🐌,2010.0,Animals & Nature,animal-bug,snail +644.0,🔷,2010.0,Symbols,geometric,large blue diamond +645.0,👖,2010.0,Objects,clothing,jeans +646.0,🛍️,2014.0,Objects,clothing,shopping bags +647.0,💒,2010.0,Travel & Places,place-building,wedding +648.0,🐉,2015.0,Animals & Nature,animal-reptile,dragon +649.0,🎍,2010.0,Activities,event,pine decoration +650.0,🗝️,2014.0,Objects,lock,old key +651.0,👕,2010.0,Objects,clothing,t-shirt +652.0,🚽,2010.0,Objects,household,toilet +653.0,🍥,2010.0,Food & Drink,food-asian,fish cake with swirl +654.0,🍐,2015.0,Food & Drink,food-fruit,pear +655.0,🏫,2010.0,Travel & Places,place-building,school +656.0,🚂,2015.0,Travel & Places,transport-ground,locomotive +657.0,🔐,2010.0,Objects,lock,locked with key +658.0,⛄,2010.0,Travel & Places,sky & weather,snowman without snow +659.0,☃️,2014.0,Travel & Places,sky & weather,snowman +660.0,☂️,2014.0,Travel & Places,sky & weather,umbrella +661.0,⏳,2010.0,Travel & Places,time,hourglass not done +662.0,⛅,2010.0,Travel & Places,sky & weather,sun behind cloud +663.0,🔜,2010.0,Symbols,arrow,SOON arrow +664.0,🥣,2017.0,Food & Drink,food-prepared,bowl with spoon +665.0,🎋,2010.0,Activities,event,tanabata tree +666.0,🔶,2010.0,Symbols,geometric,large orange diamond +667.0,🔸,2010.0,Symbols,geometric,small orange diamond +668.0,⛔,2010.0,Symbols,warning,no entry +669.0,0️⃣,2010.0,Symbols,keycap,keycap: 0 +670.0,🦸,2018.0,People & Body,person-fantasy,superhero +671.0,📻,2010.0,Objects,music,radio +672.0,🇦🇷,2015.0,Flags,country-flag,flag: Argentina +673.0,👓,2010.0,Objects,clothing,glasses +674.0,🥉,2016.0,Activities,award-medal,3rd place medal +675.0,🐅,2015.0,Animals & Nature,animal-mammal,tiger +676.0,📊,2010.0,Objects,office,bar chart +677.0,🦝,2018.0,Animals & Nature,animal-mammal,raccoon +678.0,🚪,2010.0,Objects,household,door +679.0,🚘,2014.0,Travel & Places,transport-ground,oncoming automobile +680.0,👱,2010.0,People & Body,person,person: blond hair +681.0,♣️,2010.0,Activities,game,club suit +682.0,🌡️,2014.0,Travel & Places,sky & weather,thermometer +683.0,🧜,2017.0,People & Body,person-fantasy,merperson +684.0,🏥,2010.0,Travel & Places,place-building,hospital +685.0,⛵,2010.0,Travel & Places,transport-water,sailboat +686.0,🕋,2015.0,Travel & Places,place-religious,kaaba +687.0,📰,2010.0,Objects,book-paper,newspaper +688.0,💇,2010.0,People & Body,person-activity,person getting haircut +689.0,🇩🇪,2010.0,Flags,country-flag,flag: Germany +690.0,🥬,2018.0,Food & Drink,food-vegetable,leafy green +691.0,🐨,2010.0,Animals & Nature,animal-mammal,koala +692.0,🧹,2018.0,Objects,household,broom +693.0,👥,2015.0,People & Body,person-symbol,busts in silhouette +694.0,🇰🇷,2010.0,Flags,country-flag,flag: South Korea +695.0,⬜,2010.0,Symbols,geometric,white large square +696.0,📆,2010.0,Objects,office,tear-off calendar +697.0,🥖,2016.0,Food & Drink,food-prepared,baguette bread +698.0,🐩,2010.0,Animals & Nature,animal-mammal,poodle +699.0,🤺,2016.0,People & Body,person-sport,person fencing +700.0,🛁,2015.0,Objects,household,bathtub +701.0,⌛,2010.0,Travel & Places,time,hourglass done +702.0,🔽,2010.0,Symbols,av-symbol,downwards button +703.0,🕉️,2014.0,Symbols,religion,om +704.0,🍲,2010.0,Food & Drink,food-prepared,pot of food +705.0,🦘,2018.0,Animals & Nature,animal-mammal,kangaroo +706.0,🥥,2017.0,Food & Drink,food-fruit,coconut +707.0,🛀,2010.0,People & Body,person-resting,person taking bath +708.0,🏍️,2014.0,Travel & Places,transport-ground,motorcycle +709.0,🖼️,2014.0,Activities,arts & crafts,framed picture +710.0,📅,2010.0,Objects,office,calendar +711.0,📿,2015.0,Objects,clothing,prayer beads +712.0,🕛,2010.0,Travel & Places,time,twelve o’clock +713.0,▪️,2010.0,Symbols,geometric,black small square +714.0,🌑,2010.0,Travel & Places,sky & weather,new moon +715.0,🚛,2015.0,Travel & Places,transport-ground,articulated lorry +716.0,🧺,2018.0,Objects,household,basket +717.0,🏎️,2014.0,Travel & Places,transport-ground,racing car +718.0,📡,2010.0,Objects,science,satellite antenna +719.0,🐭,2010.0,Animals & Nature,animal-mammal,mouse face +720.0,🗽,2010.0,Travel & Places,place-building,Statue of Liberty +721.0,🆓,2010.0,Symbols,alphanum,FREE button +722.0,🎾,2010.0,Activities,sport,tennis +723.0,🇫🇷,2010.0,Flags,country-flag,flag: France +724.0,🏐,2015.0,Activities,sport,volleyball +725.0,🎒,2010.0,Objects,clothing,backpack +726.0,🆚,2010.0,Symbols,alphanum,VS button +727.0,🌋,2010.0,Travel & Places,place-geographic,volcano +728.0,📉,2010.0,Objects,office,chart decreasing +730.0,🏒,2015.0,Activities,sport,ice hockey +731.0,🏔️,2014.0,Travel & Places,place-geographic,snow-capped mountain +732.0,🕐,2010.0,Travel & Places,time,one o’clock +733.0,🦙,2018.0,Animals & Nature,animal-mammal,llama +734.0,🧙,2017.0,People & Body,person-fantasy,mage +735.0,🦟,2018.0,Animals & Nature,animal-bug,mosquito +736.0,🃏,2010.0,Activities,game,joker +737.0,🚢,2010.0,Travel & Places,transport-water,ship +738.0,🙍,2010.0,People & Body,person-gesture,person frowning +739.0,📕,2010.0,Objects,book-paper,closed book +740.0,👬,2015.0,People & Body,family,men holding hands +741.0,🐆,2015.0,Animals & Nature,animal-mammal,leopard +742.0,🔛,2010.0,Symbols,arrow,ON! arrow +743.0,❕,2010.0,Symbols,punctuation,white exclamation mark +744.0,👒,2010.0,Objects,clothing,woman’s hat +745.0,🐪,2015.0,Animals & Nature,animal-mammal,camel +746.0,🥟,2017.0,Food & Drink,food-asian,dumpling +747.0,⚖️,2015.0,Objects,tool,balance scale +748.0,🧼,2018.0,Objects,household,soap +749.0,🍶,2010.0,Food & Drink,drink,sake +750.0,🇨🇴,2015.0,Flags,country-flag,flag: Colombia +751.0,↗️,2010.0,Symbols,arrow,up-right arrow +752.0,🎪,2010.0,Travel & Places,place-other,circus tent +753.0,👔,2010.0,Objects,clothing,necktie +754.0,🇨🇳,2010.0,Flags,country-flag,flag: China +755.0,4️⃣,2010.0,Symbols,keycap,keycap: 4 +756.0,📎,2010.0,Objects,office,paperclip +757.0,🦚,2018.0,Animals & Nature,animal-bird,peacock +758.0,🍠,2010.0,Food & Drink,food-asian,roasted sweet potato +759.0,🥨,2017.0,Food & Drink,food-prepared,pretzel +760.0,⚜️,2015.0,Symbols,other-symbol,fleur-de-lis +761.0,🍮,2010.0,Food & Drink,food-sweet,custard +762.0,🎗️,2014.0,Activities,event,reminder ribbon +763.0,🏩,2010.0,Travel & Places,place-building,love hotel +764.0,🐃,2015.0,Animals & Nature,animal-mammal,water buffalo +765.0,🔅,2015.0,Symbols,av-symbol,dim button +766.0,🇪🇸,2010.0,Flags,country-flag,flag: Spain +767.0,🏰,2010.0,Travel & Places,place-building,castle +768.0,5️⃣,2010.0,Symbols,keycap,keycap: 5 +769.0,📬,2014.0,Objects,mail,open mailbox with raised flag +770.0,➕,2010.0,Symbols,math,plus +771.0,🖌️,2014.0,Objects,writing,paintbrush +772.0,🛡️,2014.0,Objects,tool,shield +774.0,📛,2010.0,Symbols,other-symbol,name badge +775.0,🐏,2015.0,Animals & Nature,animal-mammal,ram +776.0,🎺,2010.0,Objects,musical-instrument,trumpet +777.0,🕌,2015.0,Travel & Places,place-religious,mosque +778.0,🐋,2015.0,Animals & Nature,animal-marine,whale +779.0,🥋,2016.0,Activities,sport,martial arts uniform +780.0,🐲,2010.0,Animals & Nature,animal-reptile,dragon face +781.0,❎,2010.0,Symbols,other-symbol,cross mark button +782.0,🎫,2010.0,Activities,event,ticket +783.0,📨,2010.0,Objects,mail,incoming envelope +784.0,⛪,2010.0,Travel & Places,place-religious,church +785.0,🦒,2017.0,Animals & Nature,animal-mammal,giraffe +786.0,🎡,2010.0,Travel & Places,place-other,ferris wheel +787.0,🧱,2018.0,Travel & Places,place-building,brick +788.0,🎷,2010.0,Objects,musical-instrument,saxophone +789.0,🚑,2010.0,Travel & Places,transport-ground,ambulance +790.0,🏝️,2014.0,Travel & Places,place-geographic,desert island +791.0,🚓,2010.0,Travel & Places,transport-ground,police car +792.0,🚃,2010.0,Travel & Places,transport-ground,railway car +793.0,🏇,2015.0,People & Body,person-sport,horse racing +794.0,🌇,2010.0,Travel & Places,place-other,sunset +795.0,🙎,2010.0,People & Body,person-gesture,person pouting +796.0,🚌,2010.0,Travel & Places,transport-ground,bus +797.0,💶,2015.0,Objects,money,euro banknote +798.0,🚜,2015.0,Travel & Places,transport-ground,tractor +799.0,🌰,2010.0,Food & Drink,food-vegetable,chestnut +800.0,🍛,2010.0,Food & Drink,food-asian,curry rice +801.0,💴,2010.0,Objects,money,yen banknote +802.0,👛,2010.0,Objects,clothing,purse +803.0,🧓,2017.0,People & Body,person,older person +804.0,🥾,2018.0,Objects,clothing,hiking boot +805.0,🐫,2010.0,Animals & Nature,animal-mammal,two-hump camel +806.0,🥢,2017.0,Food & Drink,dishware,chopsticks +807.0,🧤,2017.0,Objects,clothing,gloves +808.0,🚔,2014.0,Travel & Places,transport-ground,oncoming police car +809.0,🎰,2010.0,Activities,game,slot machine +810.0,🧔,2017.0,People & Body,person,person: beard +811.0,🥯,2018.0,Food & Drink,food-prepared,bagel +812.0,➖,2010.0,Symbols,math,minus +813.0,🐹,2010.0,Animals & Nature,animal-mammal,hamster +814.0,📽️,2014.0,Objects,light & video,film projector +815.0,🦂,2015.0,Animals & Nature,animal-bug,scorpion +816.0,🔘,2010.0,Symbols,geometric,radio button +817.0,🔄,2015.0,Symbols,arrow,counterclockwise arrows button +818.0,📥,2010.0,Objects,mail,inbox tray +819.0,📹,2010.0,Objects,light & video,video camera +820.0,🛫,2015.0,Travel & Places,transport-air,airplane departure +821.0,📏,2010.0,Objects,office,straight ruler +822.0,🇮🇱,2015.0,Flags,country-flag,flag: Israel +823.0,🎠,2010.0,Travel & Places,place-other,carousel horse +824.0,🆙,2010.0,Symbols,alphanum,UP! button +825.0,💈,2010.0,Travel & Places,place-other,barber pole +826.0,🔖,2010.0,Objects,book-paper,bookmark +827.0,🇦🇺,2015.0,Flags,country-flag,flag: Australia +828.0,🇪🇬,2015.0,Flags,country-flag,flag: Egypt +829.0,🍱,2010.0,Food & Drink,food-asian,bento box +830.0,🕜,2014.0,Travel & Places,time,one-thirty +831.0,🏕️,2014.0,Travel & Places,place-geographic,camping +832.0,🍢,2010.0,Food & Drink,food-asian,oden +833.0,🏢,2010.0,Travel & Places,place-building,office building +834.0,🔌,2010.0,Objects,computer,electric plug +835.0,🦔,2017.0,Animals & Nature,animal-mammal,hedgehog +836.0,🏴‍☠️,2018.0,Flags,flag,pirate flag +837.0,🛸,2017.0,Travel & Places,transport-air,flying saucer +838.0,🕴️,2014.0,People & Body,person-activity,person in suit levitating +839.0,🤵,2016.0,People & Body,person-role,person in tuxedo +840.0,👞,2010.0,Objects,clothing,man’s shoe +841.0,🔋,2010.0,Objects,computer,battery +842.0,🏜️,2014.0,Travel & Places,place-geographic,desert +843.0,⛓️,2014.0,Objects,tool,chains +844.0,⛏️,2014.0,Objects,tool,pick +845.0,🇦🇪,2015.0,Flags,country-flag,flag: United Arab Emirates +846.0,🇨🇱,2015.0,Flags,country-flag,flag: Chile +847.0,◾,2010.0,Symbols,geometric,black medium-small square +848.0,⏯️,2015.0,Symbols,av-symbol,play or pause button +849.0,👜,2010.0,Objects,clothing,handbag +850.0,🇵🇰,2015.0,Flags,country-flag,flag: Pakistan +851.0,🇻🇪,2015.0,Flags,country-flag,flag: Venezuela +852.0,🗓️,2014.0,Objects,office,spiral calendar +853.0,🚧,2010.0,Travel & Places,transport-ground,construction +854.0,♋,2010.0,Symbols,zodiac,Cancer +855.0,🏮,2010.0,Objects,light & video,red paper lantern +856.0,🐡,2010.0,Animals & Nature,animal-marine,blowfish +857.0,👘,2010.0,Objects,clothing,kimono +858.0,🛹,2018.0,Travel & Places,transport-ground,skateboard +859.0,🇵🇸,2015.0,Flags,country-flag,flag: Palestinian Territories +860.0,♉,2010.0,Symbols,zodiac,Taurus +861.0,🚦,2015.0,Travel & Places,transport-ground,vertical traffic light +862.0,🧩,2018.0,Activities,game,puzzle piece +863.0,🚺,2010.0,Symbols,transport-sign,women’s room +864.0,🥄,2016.0,Food & Drink,dishware,spoon +865.0,🧛,2017.0,People & Body,person-fantasy,vampire +866.0,🗻,2010.0,Travel & Places,place-geographic,mount fuji +867.0,♐,2010.0,Symbols,zodiac,Sagittarius +868.0,🦹,2018.0,People & Body,person-fantasy,supervillain +869.0,🇵🇭,2015.0,Flags,country-flag,flag: Philippines +870.0,✴️,2010.0,Symbols,other-symbol,eight-pointed star +871.0,🏨,2010.0,Travel & Places,place-building,hotel +872.0,❇️,2010.0,Symbols,other-symbol,sparkle +873.0,🏉,2015.0,Activities,sport,rugby football +874.0,🦛,2018.0,Animals & Nature,animal-mammal,hippopotamus +875.0,🛣️,2014.0,Travel & Places,transport-ground,motorway +876.0,🕸️,2014.0,Animals & Nature,animal-bug,spider web +877.0,🎟️,2014.0,Activities,event,admission tickets +878.0,💼,2010.0,Objects,office,briefcase +879.0,🛴,2016.0,Travel & Places,transport-ground,kick scooter +880.0,📘,2010.0,Objects,book-paper,blue book +881.0,🧦,2017.0,Objects,clothing,socks +882.0,🥘,2016.0,Food & Drink,food-prepared,shallow pan of food +883.0,🇵🇷,2015.0,Flags,country-flag,flag: Puerto Rico +884.0,🤹,2016.0,People & Body,person-sport,person juggling +885.0,♊,2010.0,Symbols,zodiac,Gemini +886.0,🌤️,2014.0,Travel & Places,sky & weather,sun behind small cloud +887.0,🚁,2015.0,Travel & Places,transport-air,helicopter +888.0,🔓,2010.0,Objects,lock,unlocked +889.0,🏴,2015.0,Flags,flag,black flag +890.0,💿,2010.0,Objects,computer,optical disk +891.0,🦓,2017.0,Animals & Nature,animal-mammal,zebra +892.0,📜,2010.0,Objects,book-paper,scroll +893.0,👷,2010.0,People & Body,person-role,construction worker +894.0,🇸🇦,2015.0,Flags,country-flag,flag: Saudi Arabia +895.0,⛹️,2014.0,People & Body,person-sport,person bouncing ball +896.0,🚣,2015.0,People & Body,person-sport,person rowing boat +897.0,👩‍💻,2016.0,People & Body,person-role,woman technologist +898.0,↙️,2010.0,Symbols,arrow,down-left arrow +899.0,⛷️,2014.0,People & Body,person-sport,skier +900.0,🧖,2017.0,People & Body,person-activity,person in steamy room +901.0,👳,2010.0,People & Body,person-role,person wearing turban +902.0,🎎,2010.0,Activities,event,Japanese dolls +903.0,㊗️,2010.0,Symbols,alphanum,Japanese “congratulations” button +904.0,🚹,2010.0,Symbols,transport-sign,men’s room +905.0,㊙️,2010.0,Symbols,alphanum,Japanese “secret” button +906.0,👩‍🍳,2016.0,People & Body,person-role,woman cook +907.0,⛺,2010.0,Travel & Places,place-other,tent +908.0,↘️,2010.0,Symbols,arrow,down-right arrow +909.0,🗞️,2014.0,Objects,book-paper,rolled-up newspaper +910.0,🅾️,2010.0,Symbols,alphanum,O button (blood type) +911.0,🎅,2010.0,People & Body,person-fantasy,Santa Claus +912.0,🧂,2018.0,Food & Drink,food-prepared,salt +913.0,7️⃣,2010.0,Symbols,keycap,keycap: 7 +914.0,🇵🇪,2015.0,Flags,country-flag,flag: Peru +915.0,🚐,2015.0,Travel & Places,transport-ground,minibus +916.0,🇮🇩,2015.0,Flags,country-flag,flag: Indonesia +917.0,🖥️,2014.0,Objects,computer,desktop computer +918.0,⚒️,2015.0,Objects,tool,hammer and pick +919.0,🏏,2015.0,Activities,sport,cricket game +920.0,📀,2010.0,Objects,computer,dvd +921.0,🎐,2010.0,Activities,event,wind chime +922.0,🦢,2018.0,Animals & Nature,animal-bird,swan +923.0,🌔,2010.0,Travel & Places,sky & weather,waxing gibbous moon +924.0,6️⃣,2010.0,Symbols,keycap,keycap: 6 +925.0,🇦🇹,2015.0,Flags,country-flag,flag: Austria +926.0,🗼,2010.0,Travel & Places,place-building,Tokyo tower +927.0,☯️,2014.0,Symbols,religion,yin yang +928.0,🌒,2015.0,Travel & Places,sky & weather,waxing crescent moon +929.0,🧞,2017.0,People & Body,person-fantasy,genie +930.0,🕒,2010.0,Travel & Places,time,three o’clock +931.0,🎳,2010.0,Activities,sport,bowling +932.0,🎢,2010.0,Travel & Places,place-other,roller coaster +933.0,🔟,2010.0,Symbols,keycap,keycap: 10 +934.0,↔️,2010.0,Symbols,arrow,left-right arrow +935.0,👨‍🍳,2016.0,People & Body,person-role,man cook +936.0,⏬,2010.0,Symbols,av-symbol,fast down button +937.0,🧵,2018.0,Activities,arts & crafts,thread +938.0,🚵,2015.0,People & Body,person-sport,person mountain biking +939.0,🧒,2017.0,People & Body,person,child +940.0,Ⓜ️,2010.0,Symbols,alphanum,circled M +941.0,♌,2010.0,Symbols,zodiac,Leo +942.0,👩‍🎓,2016.0,People & Body,person-role,woman student +943.0,🧪,2018.0,Objects,science,test tube +944.0,🚕,2010.0,Travel & Places,transport-ground,taxi +945.0,🏳️,2014.0,Flags,flag,white flag +946.0,🇹🇭,2015.0,Flags,country-flag,flag: Thailand +947.0,🇿🇦,2015.0,Flags,country-flag,flag: South Africa +948.0,✳️,2010.0,Symbols,other-symbol,eight-spoked asterisk +949.0,🧽,2018.0,Objects,household,sponge +951.0,⛲,2010.0,Travel & Places,place-other,fountain +952.0,🏦,2010.0,Travel & Places,place-building,bank +953.0,🇸🇪,2015.0,Flags,country-flag,flag: Sweden +954.0,☢️,2015.0,Symbols,warning,radioactive +955.0,👚,2010.0,Objects,clothing,woman’s clothes +956.0,📋,2010.0,Objects,office,clipboard +957.0,🌩️,2014.0,Travel & Places,sky & weather,cloud with lightning +958.0,♒,2010.0,Symbols,zodiac,Aquarius +959.0,🌘,2015.0,Travel & Places,sky & weather,waning crescent moon +960.0,🐗,2010.0,Animals & Nature,animal-mammal,boar +961.0,📠,2010.0,Objects,phone,fax machine +962.0,🗳️,2014.0,Objects,mail,ballot box with ballot +963.0,🤼,2016.0,People & Body,person-sport,people wrestling +964.0,〽️,2010.0,Symbols,other-symbol,part alternation mark +965.0,👩‍⚕️,2016.0,People & Body,person-role,woman health worker +966.0,🇷🇺,2010.0,Flags,country-flag,flag: Russia +967.0,♏,2010.0,Symbols,zodiac,Scorpio +968.0,⛰️,2014.0,Travel & Places,place-geographic,mountain +969.0,🧳,2018.0,Travel & Places,hotel,luggage +970.0,🧶,2018.0,Activities,arts & crafts,yarn +971.0,📧,2010.0,Objects,mail,e-mail +972.0,🏂,2010.0,People & Body,person-sport,snowboarder +973.0,🇵🇹,2015.0,Flags,country-flag,flag: Portugal +974.0,👢,2010.0,Objects,clothing,woman’s boot +975.0,🥅,2016.0,Activities,sport,goal net +976.0,🍙,2010.0,Food & Drink,food-asian,rice ball +977.0,🅿️,2010.0,Symbols,alphanum,P button +978.0,♎,2010.0,Symbols,zodiac,Libra +979.0,🔯,2010.0,Symbols,religion,dotted six-pointed star +981.0,🤾,2016.0,People & Body,person-sport,person playing handball +982.0,🛋️,2014.0,Objects,household,couch and lamp +983.0,🇳🇬,2015.0,Flags,country-flag,flag: Nigeria +984.0,♍,2010.0,Symbols,zodiac,Virgo +985.0,🇵🇱,2015.0,Flags,country-flag,flag: Poland +986.0,📯,2015.0,Objects,sound,postal horn +987.0,◀️,2010.0,Symbols,av-symbol,reverse button +988.0,🇩🇿,2015.0,Flags,country-flag,flag: Algeria +989.0,🌓,2010.0,Travel & Places,sky & weather,first quarter moon +990.0,🧻,2018.0,Objects,household,roll of paper +991.0,🇮🇪,2015.0,Flags,country-flag,flag: Ireland +992.0,🔁,2015.0,Symbols,av-symbol,repeat button +993.0,9️⃣,2010.0,Symbols,keycap,keycap: 9 +994.0,🎽,2010.0,Activities,sport,running shirt +995.0,🧣,2017.0,Objects,clothing,scarf +996.0,👨‍💻,2016.0,People & Body,person-role,man technologist +997.0,🧗,2017.0,People & Body,person-activity,person climbing +998.0,🎴,2010.0,Activities,game,flower playing cards +999.0,🇲🇦,2015.0,Flags,country-flag,flag: Morocco +1000.0,♓,2010.0,Symbols,zodiac,Pisces +1001.0,📗,2010.0,Objects,book-paper,green book +1002.0,☪️,2014.0,Symbols,religion,star and crescent +1003.0,✒️,2010.0,Objects,writing,black nib +1004.0,👪,2010.0,People & Body,family,family +1005.0,❔,2010.0,Symbols,punctuation,white question mark +1006.0,🔚,2010.0,Symbols,arrow,END arrow +1007.0,8️⃣,2010.0,Symbols,keycap,keycap: 8 +1008.0,📙,2010.0,Objects,book-paper,orange book +1009.0,✡️,2014.0,Symbols,religion,star of David +1010.0,🧕,2017.0,People & Body,person-role,woman with headscarf +1011.0,🏓,2015.0,Activities,sport,ping pong +1012.0,▫️,2010.0,Symbols,geometric,white small square +1013.0,⤴️,2010.0,Symbols,arrow,right arrow curving up +1014.0,⚙️,2015.0,Objects,tool,gear +1015.0,🧲,2018.0,Objects,tool,magnet +1016.0,💹,2010.0,Objects,money,chart increasing with yen +1017.0,💷,2015.0,Objects,money,pound banknote +1018.0,◽,2010.0,Symbols,geometric,white medium-small square +1019.0,📃,2010.0,Objects,book-paper,page with curl +1020.0,🏧,2010.0,Symbols,transport-sign,ATM sign +1021.0,🇱🇷,2015.0,Flags,country-flag,flag: Liberia +1022.0,🥙,2016.0,Food & Drink,food-prepared,stuffed flatbread +1023.0,➰,2010.0,Symbols,other-symbol,curly loop +1024.0,🌖,2015.0,Travel & Places,sky & weather,waning gibbous moon +1025.0,🌗,2015.0,Travel & Places,sky & weather,last quarter moon +1026.0,ℹ️,2010.0,Symbols,alphanum,information +1027.0,🌂,2010.0,Travel & Places,sky & weather,closed umbrella +1028.0,🖇️,2014.0,Objects,office,linked paperclips +1029.0,🏟️,2014.0,Travel & Places,place-building,stadium +1030.0,🔉,2015.0,Objects,sound,speaker medium volume +1031.0,🎌,2010.0,Flags,flag,crossed flags +1032.0,🇪🇨,2015.0,Flags,country-flag,flag: Ecuador +1033.0,📤,2010.0,Objects,mail,outbox tray +1034.0,🎞️,2014.0,Objects,light & video,film frames +1035.0,🀄,2010.0,Activities,game,mahjong red dragon +1036.0,🌦️,2014.0,Travel & Places,sky & weather,sun behind rain cloud +1037.0,🔭,2015.0,Objects,science,telescope +1038.0,🚰,2015.0,Symbols,transport-sign,potable water +1039.0,🧑,2017.0,People & Body,person,person +1040.0,📒,2010.0,Objects,book-paper,ledger +1041.0,🇮🇶,2015.0,Flags,country-flag,flag: Iraq +1042.0,🌫️,2014.0,Travel & Places,sky & weather,fog +1043.0,🧧,2018.0,Activities,event,red envelope +1044.0,🦏,2016.0,Animals & Nature,animal-mammal,rhinoceros +1045.0,♿,2010.0,Symbols,transport-sign,wheelchair symbol +1046.0,🎿,2010.0,Activities,sport,skis +1047.0,👩‍🏫,2016.0,People & Body,person-role,woman teacher +1048.0,🍘,2010.0,Food & Drink,food-asian,rice cracker +1049.0,🇯🇲,2015.0,Flags,country-flag,flag: Jamaica +1050.0,⏱️,2015.0,Travel & Places,time,stopwatch +1051.0,🇳🇱,2015.0,Flags,country-flag,flag: Netherlands +1052.0,🎖️,2014.0,Activities,award-medal,military medal +1053.0,🏯,2010.0,Travel & Places,place-building,Japanese castle +1054.0,🇬🇷,2015.0,Flags,country-flag,flag: Greece +1055.0,🔲,2010.0,Symbols,geometric,black square button +1056.0,🕑,2010.0,Travel & Places,time,two o’clock +1057.0,🇾🇪,2015.0,Flags,country-flag,flag: Yemen +1058.0,🥡,2017.0,Food & Drink,food-asian,takeout box +1060.0,👩‍🦰,2018.0,People & Body,person,woman: red hair +1061.0,💺,2010.0,Travel & Places,transport-air,seat +1062.0,🇪🇺,2015.0,Flags,country-flag,flag: European Union +1063.0,🔈,2014.0,Objects,sound,speaker low volume +1064.0,♑,2010.0,Symbols,zodiac,Capricorn +1065.0,🧴,2018.0,Objects,household,lotion bottle +1066.0,🥮,2018.0,Food & Drink,food-asian,moon cake +1067.0,🔧,2010.0,Objects,tool,wrench +1068.0,◼️,2010.0,Symbols,geometric,black medium square +1069.0,🛬,2015.0,Travel & Places,transport-air,airplane arrival +1070.0,🗨️,2015.0,Smileys & Emotion,emotion,left speech bubble +1071.0,🎑,2010.0,Activities,event,moon viewing ceremony +1072.0,🏴󠁧󠁢󠁳󠁣󠁴󠁿,2017.0,Flags,subdivision-flag,flag: Scotland +1073.0,🚤,2010.0,Travel & Places,transport-water,speedboat +1074.0,📐,2010.0,Objects,office,triangular ruler +1075.0,🎚️,2014.0,Objects,music,level slider +1076.0,📓,2010.0,Objects,book-paper,notebook +1077.0,🇧🇪,2015.0,Flags,country-flag,flag: Belgium +1078.0,🇺🇦,2015.0,Flags,country-flag,flag: Ukraine +1079.0,🎏,2010.0,Activities,event,carp streamer +1080.0,🏷️,2014.0,Objects,book-paper,label +1081.0,🏙️,2014.0,Travel & Places,place-other,cityscape +1082.0,⏪,2010.0,Symbols,av-symbol,fast reverse button +1083.0,🏪,2010.0,Travel & Places,place-building,convenience store +1084.0,🖍️,2014.0,Objects,writing,crayon +1085.0,☣️,2015.0,Symbols,warning,biohazard +1086.0,🧝,2017.0,People & Body,person-fantasy,elf +1087.0,🇨🇺,2015.0,Flags,country-flag,flag: Cuba +1088.0,🚆,2015.0,Travel & Places,transport-ground,train +1089.0,💂,2010.0,People & Body,person-role,guard +1090.0,🧥,2017.0,Objects,clothing,coat +1091.0,⛑️,2014.0,Objects,clothing,rescue worker’s helmet +1092.0,🛶,2016.0,Travel & Places,transport-water,canoe +1093.0,🔕,2015.0,Objects,sound,bell with slash +1094.0,🏴󠁧󠁢󠁥󠁮󠁧󠁿,2017.0,Flags,subdivision-flag,flag: England +1095.0,🛰️,2014.0,Travel & Places,transport-air,satellite +1096.0,📼,2010.0,Objects,light & video,videocassette +1097.0,🔇,2015.0,Objects,sound,muted speaker +1098.0,🏸,2015.0,Activities,sport,badminton +1099.0,🖊️,2014.0,Objects,writing,pen +1100.0,💽,2010.0,Objects,computer,computer disk +1101.0,🇬🇭,2015.0,Flags,country-flag,flag: Ghana +1102.0,🦡,2018.0,Animals & Nature,animal-mammal,badger +1103.0,🌁,2010.0,Travel & Places,place-other,foggy +1104.0,📔,2010.0,Objects,book-paper,notebook with decorative cover +1105.0,🖋️,2014.0,Objects,writing,fountain pen +1106.0,🚄,2010.0,Travel & Places,transport-ground,high-speed train +1107.0,👨‍⚕️,2016.0,People & Body,person-role,man health worker +1108.0,📶,2010.0,Symbols,av-symbol,antenna bars +1109.0,🚼,2010.0,Symbols,transport-sign,baby symbol +1110.0,🔦,2010.0,Objects,light & video,flashlight +1111.0,🚅,2010.0,Travel & Places,transport-ground,bullet train +1112.0,🉑,2010.0,Symbols,alphanum,Japanese “acceptable” button +1113.0,🛩️,2014.0,Travel & Places,transport-air,small airplane +1114.0,🧾,2018.0,Objects,money,receipt +1115.0,👩‍🎤,2016.0,People & Body,person-role,woman singer +1116.0,🇨🇭,2015.0,Flags,country-flag,flag: Switzerland +1117.0,🛢️,2014.0,Travel & Places,transport-ground,oil drum +1118.0,⛩️,2014.0,Travel & Places,place-religious,shinto shrine +1119.0,🧭,2018.0,Travel & Places,place-map,compass +1120.0,🕓,2010.0,Travel & Places,time,four o’clock +1121.0,🚖,2015.0,Travel & Places,transport-ground,oncoming taxi +1122.0,🥽,2018.0,Objects,clothing,goggles +1123.0,📑,2010.0,Objects,book-paper,bookmark tabs +1124.0,👨‍🎓,2016.0,People & Body,person-role,man student +1125.0,🕙,2010.0,Travel & Places,time,ten o’clock +1126.0,🤽,2016.0,People & Body,person-sport,person playing water polo +1128.0,👩‍🌾,2016.0,People & Body,person-role,woman farmer +1129.0,🔬,2015.0,Objects,science,microscope +1130.0,🚸,2015.0,Symbols,warning,children crossing +1131.0,♟️,2018.0,Activities,game,chess pawn +1132.0,🎦,2010.0,Symbols,av-symbol,cinema +1133.0,👨‍🏫,2016.0,People & Body,person-role,man teacher +1134.0,🇱🇧,2015.0,Flags,country-flag,flag: Lebanon +1135.0,🗾,2010.0,Travel & Places,place-map,map of Japan +1136.0,🔼,2010.0,Symbols,av-symbol,upwards button +1137.0,🕘,2010.0,Travel & Places,time,nine o’clock +1138.0,🇦🇲,2015.0,Flags,country-flag,flag: Armenia +1139.0,🇩🇴,2015.0,Flags,country-flag,flag: Dominican Republic +1140.0,👡,2010.0,Objects,clothing,woman’s sandal +1141.0,📁,2010.0,Objects,office,file folder +1142.0,🌥️,2014.0,Travel & Places,sky & weather,sun behind large cloud +1143.0,🚍,2014.0,Travel & Places,transport-ground,oncoming bus +1144.0,🇲🇾,2015.0,Flags,country-flag,flag: Malaysia +1145.0,⏭️,2014.0,Symbols,av-symbol,next track button +1146.0,🥠,2017.0,Food & Drink,food-asian,fortune cookie +1147.0,↖️,2010.0,Symbols,arrow,up-left arrow +1148.0,🚥,2010.0,Travel & Places,transport-ground,horizontal traffic light +1149.0,🏬,2010.0,Travel & Places,place-building,department store +1150.0,🇪🇦,2015.0,Flags,country-flag,flag: Ceuta & Melilla +1151.0,🥍,2018.0,Activities,sport,lacrosse +1152.0,🈵,2010.0,Symbols,alphanum,Japanese “no vacancy” button +1153.0,◻️,2010.0,Symbols,geometric,white medium square +1154.0,🇨🇵,2015.0,Flags,country-flag,flag: Clipperton Island +1155.0,🇺🇾,2015.0,Flags,country-flag,flag: Uruguay +1156.0,🕝,2014.0,Travel & Places,time,two-thirty +1157.0,🔢,2010.0,Symbols,alphanum,input numbers +1158.0,🧫,2018.0,Objects,science,petri dish +1159.0,🏴󠁧󠁢󠁷󠁬󠁳󠁿,2017.0,Flags,subdivision-flag,flag: Wales +1160.0,🛥️,2014.0,Travel & Places,transport-water,motor boat +1161.0,🆖,2010.0,Symbols,alphanum,NG button +1162.0,🇨🇮,2015.0,Flags,country-flag,flag: Côte d’Ivoire +1163.0,🧮,2018.0,Objects,computer,abacus +1164.0,🖨️,2014.0,Objects,computer,printer +1165.0,🛠️,2014.0,Objects,tool,hammer and wrench +1166.0,🇦🇱,2015.0,Flags,country-flag,flag: Albania +1167.0,👩‍🦲,2018.0,People & Body,person,woman: bald +1168.0,🥼,2018.0,Objects,clothing,lab coat +1169.0,⚕️,2016.0,Symbols,other-symbol,medical symbol +1170.0,➿,2015.0,Symbols,other-symbol,double curly loop +1171.0,🇧🇬,2015.0,Flags,country-flag,flag: Bulgaria +1172.0,🤶,2016.0,People & Body,person-fantasy,Mrs. Claus +1173.0,🕕,2010.0,Travel & Places,time,six o’clock +1174.0,🏑,2015.0,Activities,sport,field hockey +1176.0,🔃,2010.0,Symbols,arrow,clockwise vertical arrows +1177.0,📵,2015.0,Symbols,warning,no mobile phones +1178.0,🈶,2010.0,Symbols,alphanum,Japanese “not free of charge” button +1179.0,🥏,2018.0,Activities,sport,flying disc +1180.0,⛴️,2014.0,Travel & Places,transport-water,ferry +1181.0,👨‍🌾,2016.0,People & Body,person-role,man farmer +1182.0,🇦🇿,2015.0,Flags,country-flag,flag: Azerbaijan +1183.0,📳,2010.0,Symbols,av-symbol,vibration mode +1184.0,#️⃣,2010.0,Symbols,keycap,keycap: # +1185.0,🆑,2010.0,Symbols,alphanum,CL button +1186.0,⛸️,2014.0,Activities,sport,ice skate +1187.0,📫,2010.0,Objects,mail,closed mailbox with raised flag +1188.0,🕖,2010.0,Travel & Places,time,seven o’clock +1189.0,🇸🇻,2015.0,Flags,country-flag,flag: El Salvador +1190.0,🇱🇾,2015.0,Flags,country-flag,flag: Libya +1191.0,🇫🇮,2015.0,Flags,country-flag,flag: Finland +1192.0,🚋,2015.0,Travel & Places,transport-ground,tram car +1193.0,☦️,2015.0,Symbols,religion,orthodox cross +1194.0,🇵🇾,2015.0,Flags,country-flag,flag: Paraguay +1195.0,🔩,2010.0,Objects,tool,nut and bolt +1196.0,⚛️,2015.0,Symbols,religion,atom symbol +1197.0,🕗,2010.0,Travel & Places,time,eight o’clock +1198.0,📂,2010.0,Objects,office,open file folder +1199.0,🚇,2010.0,Travel & Places,transport-ground,metro +1200.0,🥌,2017.0,Activities,sport,curling stone +1201.0,👩‍🎨,2016.0,People & Body,person-role,woman artist +1202.0,↪️,2010.0,Symbols,arrow,left arrow curving right +1203.0,🇻🇳,2015.0,Flags,country-flag,flag: Vietnam +1204.0,🇩🇰,2015.0,Flags,country-flag,flag: Denmark +1205.0,🧰,2018.0,Objects,tool,toolbox +1206.0,🏚️,2014.0,Travel & Places,place-building,derelict house +1207.0,⌨️,2015.0,Objects,computer,keyboard +1208.0,🕚,2010.0,Travel & Places,time,eleven o’clock +1209.0,🚏,2010.0,Travel & Places,transport-ground,bus stop +1210.0,🧯,2018.0,Objects,household,fire extinguisher +1211.0,🇹🇼,2015.0,Flags,country-flag,flag: Taiwan +1212.0,🔏,2010.0,Objects,lock,locked with pen +1214.0,🧷,2018.0,Objects,household,safety pin +1215.0,👩‍🔬,2016.0,People & Body,person-role,woman scientist +1216.0,🇭🇺,2015.0,Flags,country-flag,flag: Hungary +1217.0,🇳🇮,2015.0,Flags,country-flag,flag: Nicaragua +1218.0,🚷,2015.0,Symbols,warning,no pedestrians +1219.0,🎛️,2014.0,Objects,music,control knobs +1220.0,🚎,2015.0,Travel & Places,transport-ground,trolleybus +1221.0,🚉,2010.0,Travel & Places,transport-ground,station +1222.0,🇧🇴,2015.0,Flags,country-flag,flag: Bolivia +1223.0,🇲🇨,2015.0,Flags,country-flag,flag: Monaco +1224.0,🆎,2010.0,Symbols,alphanum,AB button (blood type) +1225.0,👲,2010.0,People & Body,person-role,person with skullcap +1226.0,🕔,2010.0,Travel & Places,time,five o’clock +1227.0,👨‍🦳,2018.0,People & Body,person,man: white hair +1228.0,⚱️,2015.0,Objects,other-object,funeral urn +1229.0,*️⃣,2015.0,Symbols,keycap,keycap: * +1230.0,🇰🇼,2015.0,Flags,country-flag,flag: Kuwait +1231.0,💾,2010.0,Objects,computer,floppy disk +1232.0,🇶🇦,2015.0,Flags,country-flag,flag: Qatar +1233.0,➗,2010.0,Symbols,math,divide +1234.0,🗺️,2014.0,Travel & Places,place-map,world map +1235.0,🏺,2015.0,Food & Drink,dishware,amphora +1236.0,🕎,2015.0,Symbols,religion,menorah +1237.0,👩‍🦱,2018.0,People & Body,person,woman: curly hair +1238.0,🇬🇹,2015.0,Flags,country-flag,flag: Guatemala +1240.0,🇳🇴,2015.0,Flags,country-flag,flag: Norway +1241.0,💱,2010.0,Symbols,currency,currency exchange +1242.0,🚳,2015.0,Symbols,warning,no bicycles +1243.0,🇬🇪,2015.0,Flags,country-flag,flag: Georgia +1244.0,🕹️,2014.0,Activities,game,joystick +1245.0,🛳️,2014.0,Travel & Places,transport-water,passenger ship +1246.0,👩‍🦳,2018.0,People & Body,person,woman: white hair +1247.0,🚻,2010.0,Symbols,transport-sign,restroom +1248.0,🇧🇭,2015.0,Flags,country-flag,flag: Bahrain +1249.0,📟,2010.0,Objects,phone,pager +1250.0,🉐,2010.0,Symbols,alphanum,Japanese “bargain” button +1251.0,🇨🇲,2015.0,Flags,country-flag,flag: Cameroon +1252.0,🈹,2010.0,Symbols,alphanum,Japanese “discount” button +1253.0,🇨🇩,2015.0,Flags,country-flag,flag: Congo - Kinshasa +1254.0,🇭🇹,2015.0,Flags,country-flag,flag: Haiti +1255.0,🥿,2018.0,Objects,clothing,flat shoe +1256.0,🇭🇳,2015.0,Flags,country-flag,flag: Honduras +1257.0,🕥,2014.0,Travel & Places,time,ten-thirty +1258.0,🇸🇬,2015.0,Flags,country-flag,flag: Singapore +1259.0,👨‍🎤,2016.0,People & Body,person-role,man singer +1260.0,🇵🇦,2015.0,Flags,country-flag,flag: Panama +1261.0,🇨🇷,2015.0,Flags,country-flag,flag: Costa Rica +1262.0,⏫,2010.0,Symbols,av-symbol,fast up button +1263.0,🇰🇪,2015.0,Flags,country-flag,flag: Kenya +1264.0,☸️,2014.0,Symbols,religion,wheel of dharma +1265.0,🇯🇴,2015.0,Flags,country-flag,flag: Jordan +1266.0,👩‍💼,2016.0,People & Body,person-role,woman office worker +1267.0,👩‍🚀,2016.0,People & Body,person-role,woman astronaut +1268.0,🔳,2010.0,Symbols,geometric,white square button +1269.0,🕞,2014.0,Travel & Places,time,three-thirty +1270.0,🇹🇳,2015.0,Flags,country-flag,flag: Tunisia +1271.0,🇦🇫,2015.0,Flags,country-flag,flag: Afghanistan +1272.0,🔂,2015.0,Symbols,av-symbol,repeat single button +1273.0,👩‍🚒,2016.0,People & Body,person-role,woman firefighter +1274.0,🚠,2015.0,Travel & Places,transport-air,mountain cableway +1275.0,⏺️,2014.0,Symbols,av-symbol,record button +1276.0,🏣,2010.0,Travel & Places,place-building,Japanese post office +1277.0,👝,2010.0,Objects,clothing,clutch bag +1278.0,🇧🇩,2015.0,Flags,country-flag,flag: Bangladesh +1279.0,🇳🇿,2015.0,Flags,country-flag,flag: New Zealand +1280.0,👨‍🚀,2016.0,People & Body,person-role,man astronaut +1281.0,👨‍✈️,2016.0,People & Body,person-role,man pilot +1282.0,↩️,2010.0,Symbols,arrow,right arrow curving left +1283.0,🚊,2015.0,Travel & Places,transport-ground,tram +1284.0,🏭,2010.0,Travel & Places,place-building,factory +1285.0,🇳🇵,2015.0,Flags,country-flag,flag: Nepal +1286.0,🛎️,2014.0,Travel & Places,hotel,bellhop bell +1287.0,⛎,2010.0,Symbols,zodiac,Ophiuchus +1288.0,🇭🇰,2015.0,Flags,country-flag,flag: Hong Kong SAR China +1289.0,🇹🇹,2015.0,Flags,country-flag,flag: Trinidad & Tobago +1290.0,🏗️,2014.0,Travel & Places,place-building,building construction +1291.0,🇮🇷,2015.0,Flags,country-flag,flag: Iran +1292.0,🚈,2015.0,Travel & Places,transport-ground,light rail +1293.0,🔀,2015.0,Symbols,av-symbol,shuffle tracks button +1294.0,⚗️,2015.0,Objects,science,alembic +1295.0,🚾,2010.0,Symbols,transport-sign,water closet +1296.0,🇨🇿,2015.0,Flags,country-flag,flag: Czechia +1297.0,🗯️,2014.0,Smileys & Emotion,emotion,right anger bubble +1298.0,🇸🇾,2015.0,Flags,country-flag,flag: Syria +1299.0,👩‍🔧,2016.0,People & Body,person-role,woman mechanic +1300.0,🇿🇼,2015.0,Flags,country-flag,flag: Zimbabwe +1301.0,🚝,2015.0,Travel & Places,transport-ground,monorail +1302.0,🇳🇪,2015.0,Flags,country-flag,flag: Niger +1303.0,⏲️,2015.0,Travel & Places,time,timer clock +1304.0,🇭🇷,2015.0,Flags,country-flag,flag: Croatia +1305.0,🇺🇬,2015.0,Flags,country-flag,flag: Uganda +1306.0,🇸🇩,2015.0,Flags,country-flag,flag: Sudan +1307.0,🇷🇸,2015.0,Flags,country-flag,flag: Serbia +1308.0,🖱️,2014.0,Objects,computer,computer mouse +1309.0,🇦🇴,2015.0,Flags,country-flag,flag: Angola +1310.0,🕍,2015.0,Travel & Places,place-religious,synagogue +1311.0,🈴,2010.0,Symbols,alphanum,Japanese “passing grade” button +1312.0,🏛️,2014.0,Travel & Places,place-building,classical building +1313.0,🚟,2015.0,Travel & Places,transport-air,suspension railway +1314.0,⏮️,2014.0,Symbols,av-symbol,last track button +1315.0,🕰️,2014.0,Travel & Places,time,mantelpiece clock +1316.0,🈯,2010.0,Symbols,alphanum,Japanese “reserved” button +1317.0,🚯,2015.0,Symbols,warning,no littering +1318.0,👨‍🚒,2016.0,People & Body,person-role,man firefighter +1319.0,👨‍💼,2016.0,People & Body,person-role,man office worker +1320.0,👨‍🦲,2018.0,People & Body,person,man: bald +1321.0,🇸🇳,2015.0,Flags,country-flag,flag: Senegal +1322.0,👨‍🦱,2018.0,People & Body,person,man: curly hair +1323.0,👨‍🎨,2016.0,People & Body,person-role,man artist +1324.0,🔤,2010.0,Symbols,alphanum,input latin letters +1325.0,🛂,2015.0,Symbols,transport-sign,passport control +1326.0,⏸️,2014.0,Symbols,av-symbol,pause button +1327.0,🇪🇪,2015.0,Flags,country-flag,flag: Estonia +1328.0,🇧🇦,2015.0,Flags,country-flag,flag: Bosnia & Herzegovina +1329.0,📪,2010.0,Objects,mail,closed mailbox with lowered flag +1330.0,👩‍⚖️,2016.0,People & Body,person-role,woman judge +1331.0,🇬🇳,2015.0,Flags,country-flag,flag: Guinea +1332.0,👨‍🔬,2016.0,People & Body,person-role,man scientist +1334.0,🚡,2015.0,Travel & Places,transport-air,aerial tramway +1335.0,🏤,2015.0,Travel & Places,place-building,post office +1336.0,🇿🇲,2015.0,Flags,country-flag,flag: Zambia +1337.0,🇧🇯,2015.0,Flags,country-flag,flag: Benin +1338.0,🇻🇮,2015.0,Flags,country-flag,flag: U.S. Virgin Islands +1339.0,🛤️,2014.0,Travel & Places,transport-ground,railway track +1340.0,🚞,2015.0,Travel & Places,transport-ground,mountain railway +1341.0,👨‍🦰,2018.0,People & Body,person,man: red hair +1342.0,🇦🇩,2015.0,Flags,country-flag,flag: Andorra +1343.0,🇷🇴,2015.0,Flags,country-flag,flag: Romania +1344.0,🗒️,2014.0,Objects,office,spiral notepad +1345.0,🈺,2010.0,Symbols,alphanum,Japanese “open for business” button +1347.0,🇺🇳,2016.0,Flags,country-flag,flag: United Nations +1349.0,🇧🇧,2015.0,Flags,country-flag,flag: Barbados +1350.0,👩‍✈️,2016.0,People & Body,person-role,woman pilot +1351.0,🇧🇳,2015.0,Flags,country-flag,flag: Brunei +1352.0,📭,2014.0,Objects,mail,open mailbox with lowered flag +1354.0,🇸🇴,2015.0,Flags,country-flag,flag: Somalia +1355.0,🇧🇼,2015.0,Flags,country-flag,flag: Botswana +1356.0,🗄️,2014.0,Objects,office,file cabinet +1357.0,👁️‍🗨️,2015.0,Smileys & Emotion,emotion,eye in speech bubble +1358.0,🇪🇹,2015.0,Flags,country-flag,flag: Ethiopia +1359.0,🇹🇿,2015.0,Flags,country-flag,flag: Tanzania +1360.0,🇱🇻,2015.0,Flags,country-flag,flag: Latvia +1361.0,👨‍🔧,2016.0,People & Body,person-role,man mechanic +1362.0,🇮🇸,2015.0,Flags,country-flag,flag: Iceland +1363.0,🕡,2014.0,Travel & Places,time,six-thirty +1364.0,👨‍⚖️,2016.0,People & Body,person-role,man judge +1365.0,🇱🇺,2015.0,Flags,country-flag,flag: Luxembourg +1366.0,🛄,2015.0,Symbols,transport-sign,baggage claim +1367.0,↕️,2010.0,Symbols,arrow,up-down arrow +1368.0,🇦🇨,2015.0,Flags,country-flag,flag: Ascension Island +1369.0,🇼🇸,2015.0,Flags,country-flag,flag: Samoa +1370.0,🕦,2014.0,Travel & Places,time,eleven-thirty +1371.0,🚱,2015.0,Symbols,warning,non-potable water +1372.0,🕣,2014.0,Travel & Places,time,eight-thirty +1373.0,🇲🇰,2015.0,Flags,country-flag,flag: North Macedonia +1374.0,👩‍🏭,2016.0,People & Body,person-role,woman factory worker +1375.0,🇰🇿,2015.0,Flags,country-flag,flag: Kazakhstan +1376.0,🈚,2010.0,Symbols,alphanum,Japanese “free of charge” button +1377.0,🈲,2010.0,Symbols,alphanum,Japanese “prohibited” button +1378.0,🔠,2010.0,Symbols,alphanum,input latin uppercase +1379.0,🛷,2017.0,Activities,sport,sled +1380.0,🇧🇾,2015.0,Flags,country-flag,flag: Belarus +1381.0,🇱🇦,2015.0,Flags,country-flag,flag: Laos +1382.0,🇴🇲,2015.0,Flags,country-flag,flag: Oman +1383.0,🇦🇶,2015.0,Flags,country-flag,flag: Antarctica +1384.0,📇,2010.0,Objects,office,card index +1385.0,🖲️,2014.0,Objects,computer,trackball +1386.0,🇹🇬,2015.0,Flags,country-flag,flag: Togo +1387.0,🇬🇾,2015.0,Flags,country-flag,flag: Guyana +1388.0,🕤,2014.0,Travel & Places,time,nine-thirty +1389.0,🇲🇱,2015.0,Flags,country-flag,flag: Mali +1390.0,🇻🇨,2015.0,Flags,country-flag,flag: St. Vincent & Grenadines +1391.0,🇦🇽,2015.0,Flags,country-flag,flag: Åland Islands +1392.0,🕧,2014.0,Travel & Places,time,twelve-thirty +1393.0,🇺🇿,2015.0,Flags,country-flag,flag: Uzbekistan +1394.0,🗃️,2014.0,Objects,office,card file box +1395.0,🈸,2010.0,Symbols,alphanum,Japanese “application” button +1396.0,🇬🇱,2015.0,Flags,country-flag,flag: Greenland +1397.0,🇦🇮,2015.0,Flags,country-flag,flag: Anguilla +1399.0,🈳,2010.0,Symbols,alphanum,Japanese “vacancy” button +1400.0,🗜️,2014.0,Objects,tool,clamp +1401.0,🕢,2014.0,Travel & Places,time,seven-thirty +1402.0,🕠,2014.0,Travel & Places,time,five-thirty +1403.0,🇦🇸,2015.0,Flags,country-flag,flag: American Samoa +1404.0,🇦🇬,2015.0,Flags,country-flag,flag: Antigua & Barbuda +1405.0,🇧🇫,2015.0,Flags,country-flag,flag: Burkina Faso +1406.0,🇻🇦,2015.0,Flags,country-flag,flag: Vatican City +1407.0,🇱🇰,2015.0,Flags,country-flag,flag: Sri Lanka +1408.0,🕟,2014.0,Travel & Places,time,four-thirty +1409.0,🇧🇻,2015.0,Flags,country-flag,flag: Bouvet Island +1410.0,🇦🇼,2015.0,Flags,country-flag,flag: Aruba +1411.0,🇲🇫,2015.0,Flags,country-flag,flag: St. Martin +1412.0,🇧🇸,2015.0,Flags,country-flag,flag: Bahamas +1413.0,🇱🇹,2015.0,Flags,country-flag,flag: Lithuania +1414.0,🇧🇮,2015.0,Flags,country-flag,flag: Burundi +1415.0,🇭🇲,2015.0,Flags,country-flag,flag: Heard & McDonald Islands +1416.0,🇰🇵,2015.0,Flags,country-flag,flag: North Korea +1417.0,🇪🇷,2015.0,Flags,country-flag,flag: Eritrea +1418.0,🇹🇴,2015.0,Flags,country-flag,flag: Tonga +1419.0,🇸🇰,2015.0,Flags,country-flag,flag: Slovakia +1420.0,🇻🇺,2015.0,Flags,country-flag,flag: Vanuatu +1421.0,🇰🇭,2015.0,Flags,country-flag,flag: Cambodia +1422.0,🇹🇲,2015.0,Flags,country-flag,flag: Turkmenistan +1423.0,⏹️,2014.0,Symbols,av-symbol,stop button +1424.0,🇸🇱,2015.0,Flags,country-flag,flag: Sierra Leone +1425.0,🇹🇩,2015.0,Flags,country-flag,flag: Chad +1427.0,🇻🇬,2015.0,Flags,country-flag,flag: British Virgin Islands +1428.0,🇹🇻,2015.0,Flags,country-flag,flag: Tuvalu +1429.0,🇮🇨,2015.0,Flags,country-flag,flag: Canary Islands +1430.0,🇹🇯,2015.0,Flags,country-flag,flag: Tajikistan +1433.0,🇰🇬,2015.0,Flags,country-flag,flag: Kyrgyzstan +1434.0,🇨🇬,2015.0,Flags,country-flag,flag: Congo - Brazzaville +1435.0,🇬🇦,2015.0,Flags,country-flag,flag: Gabon +1436.0,🇲🇴,2015.0,Flags,country-flag,flag: Macao SAR China +1437.0,🇲🇺,2015.0,Flags,country-flag,flag: Mauritius +1438.0,🇽🇰,2015.0,Flags,country-flag,flag: Kosovo +1439.0,🇸🇮,2015.0,Flags,country-flag,flag: Slovenia +1440.0,🇲🇲,2015.0,Flags,country-flag,flag: Myanmar (Burma) +1441.0,🇨🇾,2015.0,Flags,country-flag,flag: Cyprus +1442.0,🛃,2015.0,Symbols,transport-sign,customs +1443.0,🇧🇹,2015.0,Flags,country-flag,flag: Bhutan +1444.0,🇧🇲,2015.0,Flags,country-flag,flag: Bermuda +1446.0,🇪🇭,2015.0,Flags,country-flag,flag: Western Sahara +1447.0,🈷️,2010.0,Symbols,alphanum,Japanese “monthly amount” button +1448.0,🇲🇪,2015.0,Flags,country-flag,flag: Montenegro +1449.0,🇸🇸,2015.0,Flags,country-flag,flag: South Sudan +1450.0,🇷🇼,2015.0,Flags,country-flag,flag: Rwanda +1451.0,🇲🇷,2015.0,Flags,country-flag,flag: Mauritania +1452.0,🇲🇹,2015.0,Flags,country-flag,flag: Malta +1453.0,🇨🇨,2015.0,Flags,country-flag,flag: Cocos (Keeling) Islands +1454.0,🇸🇷,2015.0,Flags,country-flag,flag: Suriname +1456.0,🛅,2015.0,Symbols,transport-sign,left luggage +1457.0,🇲🇳,2015.0,Flags,country-flag,flag: Mongolia +1459.0,🇲🇬,2015.0,Flags,country-flag,flag: Madagascar +1460.0,🔡,2010.0,Symbols,alphanum,input latin lowercase +1461.0,🇱🇸,2015.0,Flags,country-flag,flag: Lesotho +1463.0,🇾🇹,2015.0,Flags,country-flag,flag: Mayotte +1464.0,🇸🇯,2015.0,Flags,country-flag,flag: Svalbard & Jan Mayen +1465.0,🇹🇱,2015.0,Flags,country-flag,flag: Timor-Leste +1466.0,🇲🇩,2015.0,Flags,country-flag,flag: Moldova +1467.0,🇨🇻,2015.0,Flags,country-flag,flag: Cape Verde +1468.0,🇲🇿,2015.0,Flags,country-flag,flag: Mozambique +1469.0,🗂️,2014.0,Objects,office,card index dividers +1470.0,🇮🇴,2015.0,Flags,country-flag,flag: British Indian Ocean Territory +1471.0,🇹🇨,2015.0,Flags,country-flag,flag: Turks & Caicos Islands +1472.0,🇳🇦,2015.0,Flags,country-flag,flag: Namibia +1473.0,🇬🇼,2015.0,Flags,country-flag,flag: Guinea-Bissau +1474.0,🇲🇻,2015.0,Flags,country-flag,flag: Maldives +1475.0,👨‍🏭,2016.0,People & Body,person-role,man factory worker +1476.0,🇬🇺,2015.0,Flags,country-flag,flag: Guam +1477.0,🇹🇦,2015.0,Flags,country-flag,flag: Tristan da Cunha +1479.0,🇧🇱,2015.0,Flags,country-flag,flag: St. Barthélemy +1480.0,🇳🇫,2015.0,Flags,country-flag,flag: Norfolk Island +1481.0,🈂️,2010.0,Symbols,alphanum,Japanese “service charge” button +1482.0,🔣,2010.0,Symbols,alphanum,input symbols +1483.0,🇷🇪,2015.0,Flags,country-flag,flag: Réunion +1484.0,🇰🇲,2015.0,Flags,country-flag,flag: Comoros +1486.0,🇱🇨,2015.0,Flags,country-flag,flag: St. Lucia +1487.0,🇬🇲,2015.0,Flags,country-flag,flag: Gambia +1488.0,🇼🇫,2015.0,Flags,country-flag,flag: Wallis & Futuna +1489.0,🇧🇶,2015.0,Flags,country-flag,flag: Caribbean Netherlands +1490.0,🇮🇲,2015.0,Flags,country-flag,flag: Isle of Man +1491.0,🇨🇰,2015.0,Flags,country-flag,flag: Cook Islands +1492.0,🇧🇿,2015.0,Flags,country-flag,flag: Belize +1494.0,🇸🇿,2015.0,Flags,country-flag,flag: Eswatini +1495.0,🇸🇹,2015.0,Flags,country-flag,flag: São Tomé & Príncipe +1496.0,🇩🇯,2015.0,Flags,country-flag,flag: Djibouti +1499.0,🇩🇲,2015.0,Flags,country-flag,flag: Dominica +1501.0,🇬🇩,2015.0,Flags,country-flag,flag: Grenada +1502.0,🇫🇲,2015.0,Flags,country-flag,flag: Micronesia +1503.0,🇨🇫,2015.0,Flags,country-flag,flag: Central African Republic +1504.0,🇸🇲,2015.0,Flags,country-flag,flag: San Marino +1505.0,🇫🇯,2015.0,Flags,country-flag,flag: Fiji +1506.0,🇹🇰,2015.0,Flags,country-flag,flag: Tokelau +1507.0,🇬🇬,2015.0,Flags,country-flag,flag: Guernsey +1508.0,🇰🇳,2015.0,Flags,country-flag,flag: St. Kitts & Nevis +1509.0,🇸🇨,2015.0,Flags,country-flag,flag: Seychelles +1510.0,🦰,2018.0,Component,hair-style,red hair +1511.0,🇸🇧,2015.0,Flags,country-flag,flag: Solomon Islands +1512.0,⏏️,2015.0,Symbols,av-symbol,eject button +1513.0,🇫🇰,2015.0,Flags,country-flag,flag: Falkland Islands +1514.0,🈁,2010.0,Symbols,alphanum,Japanese “here” button +1515.0,🇰🇮,2015.0,Flags,country-flag,flag: Kiribati +1516.0,🇵🇬,2015.0,Flags,country-flag,flag: Papua New Guinea +1517.0,🇸🇽,2015.0,Flags,country-flag,flag: Sint Maarten +1518.0,🇹🇫,2015.0,Flags,country-flag,flag: French Southern Territories +1519.0,🇫🇴,2015.0,Flags,country-flag,flag: Faroe Islands +1521.0,🇬🇶,2015.0,Flags,country-flag,flag: Equatorial Guinea +1522.0,🇯🇪,2015.0,Flags,country-flag,flag: Jersey +1523.0,🇬🇮,2015.0,Flags,country-flag,flag: Gibraltar +1524.0,🇬🇸,2015.0,Flags,country-flag,flag: South Georgia & South Sandwich Islands +1526.0,🇨🇼,2015.0,Flags,country-flag,flag: Curaçao +1527.0,🇲🇼,2015.0,Flags,country-flag,flag: Malawi +1528.0,🇵🇼,2015.0,Flags,country-flag,flag: Palau +1529.0,🇲🇸,2015.0,Flags,country-flag,flag: Montserrat +1530.0,🇱🇮,2015.0,Flags,country-flag,flag: Liechtenstein +1531.0,🇲🇭,2015.0,Flags,country-flag,flag: Marshall Islands +1532.0,🇬🇫,2015.0,Flags,country-flag,flag: French Guiana +1533.0,🇸🇭,2015.0,Flags,country-flag,flag: St. Helena +1534.0,🇨🇽,2015.0,Flags,country-flag,flag: Christmas Island +1535.0,🇵🇳,2015.0,Flags,country-flag,flag: Pitcairn Islands +1536.0,🇩🇬,2015.0,Flags,country-flag,flag: Diego Garcia +1537.0,🇳🇺,2015.0,Flags,country-flag,flag: Niue +1538.0,🇳🇨,2015.0,Flags,country-flag,flag: New Caledonia +1539.0,🇵🇫,2015.0,Flags,country-flag,flag: French Polynesia +1540.0,🇰🇾,2015.0,Flags,country-flag,flag: Cayman Islands +1541.0,🦱,2018.0,Component,hair-style,curly hair +1543.0,🇵🇲,2015.0,Flags,country-flag,flag: St. Pierre & Miquelon +1544.0,🇲🇵,2015.0,Flags,country-flag,flag: Northern Mariana Islands +1545.0,🇳🇷,2015.0,Flags,country-flag,flag: Nauru +1546.0,🇲🇶,2015.0,Flags,country-flag,flag: Martinique +1547.0,🇬🇵,2015.0,Flags,country-flag,flag: Guadeloupe +1548.0,🦲,2018.0,Component,hair-style,bald +1549.0,🦳,2018.0,Component,hair-style,white hair diff --git a/exercicios/para-casa/novo_titanic_pt.csv b/exercicios/para-casa/novo_titanic_pt.csv new file mode 100644 index 0000000..31c6d99 --- /dev/null +++ b/exercicios/para-casa/novo_titanic_pt.csv @@ -0,0 +1,892 @@ +Passageiro,Sobreviveu,Classe,Nome,Sexo,Idade,Irmão ou Esposa/Marido abordo, Pais e filhos abordo,Bilhete,Tarifa,Cabine,Embarcado +1,0,3,"Braund, Mr. Owen Harris",male,22.0,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38.0,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26.0,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35.0,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35.0,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54.0,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2.0,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27.0,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14.0,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4.0,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58.0,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20.0,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39.0,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14.0,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55.0,0,0,248706,16.0,,S +17,0,3,"Rice, Master. Eugene",male,2.0,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13.0,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31.0,1,0,345763,18.0,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35.0,0,0,239865,26.0,,S +22,1,2,"Beesley, Mr. Lawrence",male,34.0,0,0,248698,13.0,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15.0,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28.0,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8.0,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38.0,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19.0,3,2,19950,263.0,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40.0,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66.0,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28.0,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42.0,1,0,113789,52.0,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21.0,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18.0,2,0,345764,18.0,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14.0,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40.0,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27.0,1,0,11668,21.0,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3.0,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19.0,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18.0,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7.0,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21.0,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49.0,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29.0,1,0,2926,26.0,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65.0,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21.0,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5.0,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11.0,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22.0,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38.0,0,0,113572,80.0,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45.0,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4.0,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29.0,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19.0,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17.0,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26.0,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32.0,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16.0,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21.0,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26.0,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32.0,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25.0,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29.0,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30.0,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22.0,0,0,345767,9.0,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29.0,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28.0,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17.0,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33.0,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16.0,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. Mabel Helen",female,23.0,3,2,19950,263.0,C23 C25 C27,S +90,0,3,"Celotti, Mr. Francesco",male,24.0,0,0,343275,8.05,,S +91,0,3,"Christmann, Mr. Emil",male,29.0,0,0,343276,8.05,,S +92,0,3,"Andreasson, Mr. Paul Edvin",male,20.0,0,0,347466,7.8542,,S +93,0,1,"Chaffee, Mr. Herbert Fuller",male,46.0,1,0,W.E.P. 5734,61.175,E31,S +94,0,3,"Dean, Mr. Bertram Frank",male,26.0,1,2,C.A. 2315,20.575,,S +95,0,3,"Coxon, Mr. Daniel",male,59.0,0,0,364500,7.25,,S +96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S +97,0,1,"Goldschmidt, Mr. George B",male,71.0,0,0,PC 17754,34.6542,A5,C +98,1,1,"Greenfield, Mr. William Bertram",male,23.0,0,1,PC 17759,63.3583,D10 D12,C +99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34.0,0,1,231919,23.0,,S +100,0,2,"Kantor, Mr. Sinai",male,34.0,1,0,244367,26.0,,S +101,0,3,"Petranec, Miss. Matilda",female,28.0,0,0,349245,7.8958,,S +102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S +103,0,1,"White, Mr. Richard Frasar",male,21.0,0,1,35281,77.2875,D26,S +104,0,3,"Johansson, Mr. Gustaf Joel",male,33.0,0,0,7540,8.6542,,S +105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37.0,2,0,3101276,7.925,,S +106,0,3,"Mionoff, Mr. Stoytcho",male,28.0,0,0,349207,7.8958,,S +107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21.0,0,0,343120,7.65,,S +108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S +109,0,3,"Rekic, Mr. Tido",male,38.0,0,0,349249,7.8958,,S +110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q +111,0,1,"Porter, Mr. Walter Chamberlain",male,47.0,0,0,110465,52.0,C110,S +112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C +113,0,3,"Barton, Mr. David John",male,22.0,0,0,324669,8.05,,S +114,0,3,"Jussila, Miss. Katriina",female,20.0,1,0,4136,9.825,,S +115,0,3,"Attalah, Miss. Malake",female,17.0,0,0,2627,14.4583,,C +116,0,3,"Pekoniemi, Mr. Edvard",male,21.0,0,0,STON/O 2. 3101294,7.925,,S +117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q +118,0,2,"Turpin, Mr. William John Robert",male,29.0,1,0,11668,21.0,,S +119,0,1,"Baxter, Mr. Quigg Edmond",male,24.0,0,1,PC 17558,247.5208,B58 B60,C +120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2.0,4,2,347082,31.275,,S +121,0,2,"Hickman, Mr. Stanley George",male,21.0,2,0,S.O.C. 14879,73.5,,S +122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S +123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C +124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13.0,E101,S +125,0,1,"White, Mr. Percival Wayland",male,54.0,0,1,35281,77.2875,D26,S +126,1,3,"Nicola-Yarred, Master. Elias",male,12.0,1,0,2651,11.2417,,C +127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q +128,1,3,"Madsen, Mr. Fridtjof Arne",male,24.0,0,0,C 17369,7.1417,,S +129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C +130,0,3,"Ekstrom, Mr. Johan",male,45.0,0,0,347061,6.975,,S +131,0,3,"Drazenoic, Mr. Jozef",male,33.0,0,0,349241,7.8958,,C +132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20.0,0,0,SOTON/O.Q. 3101307,7.05,,S +133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47.0,1,0,A/5. 3337,14.5,,S +134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29.0,1,0,228414,26.0,,S +135,0,2,"Sobey, Mr. Samuel James Hayden",male,25.0,0,0,C.A. 29178,13.0,,S +136,0,2,"Richard, Mr. Emile",male,23.0,0,0,SC/PARIS 2133,15.0458,,C +137,1,1,"Newsom, Miss. Helen Monypeny",female,19.0,0,2,11752,26.2833,D47,S +138,0,1,"Futrelle, Mr. Jacques Heath",male,37.0,1,0,113803,53.1,C123,S +139,0,3,"Osen, Mr. Olaf Elon",male,16.0,0,0,7534,9.2167,,S +140,0,1,"Giglio, Mr. Victor",male,24.0,0,0,PC 17593,79.2,B86,C +141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C +142,1,3,"Nysten, Miss. Anna Sofia",female,22.0,0,0,347081,7.75,,S +143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24.0,1,0,STON/O2. 3101279,15.85,,S +144,0,3,"Burke, Mr. Jeremiah",male,19.0,0,0,365222,6.75,,Q +145,0,2,"Andrew, Mr. Edgardo Samuel",male,18.0,0,0,231945,11.5,,S +146,0,2,"Nicholls, Mr. Joseph Charles",male,19.0,1,1,C.A. 33112,36.75,,S +147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27.0,0,0,350043,7.7958,,S +148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9.0,2,2,W./C. 6608,34.375,,S +149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26.0,F2,S +150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42.0,0,0,244310,13.0,,S +151,0,2,"Bateman, Rev. Robert James",male,51.0,0,0,S.O.P. 1166,12.525,,S +152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22.0,1,0,113776,66.6,C2,S +153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S +154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S +155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S +156,0,1,"Williams, Mr. Charles Duane",male,51.0,0,1,PC 17597,61.3792,,C +157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16.0,0,0,35851,7.7333,,Q +158,0,3,"Corn, Mr. Harry",male,30.0,0,0,SOTON/OQ 392090,8.05,,S +159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S +160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S +161,0,3,"Cribb, Mr. John Hatfield",male,44.0,0,1,371362,16.1,,S +162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40.0,0,0,C.A. 33595,15.75,,S +163,0,3,"Bengtsson, Mr. John Viktor",male,26.0,0,0,347068,7.775,,S +164,0,3,"Calic, Mr. Jovo",male,17.0,0,0,315093,8.6625,,S +165,0,3,"Panula, Master. Eino Viljami",male,1.0,4,1,3101295,39.6875,,S +166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9.0,0,2,363291,20.525,,S +167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55.0,E33,S +168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45.0,1,4,347088,27.9,,S +169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S +170,0,3,"Ling, Mr. Lee",male,28.0,0,0,1601,56.4958,,S +171,0,1,"Van der hoef, Mr. Wyckoff",male,61.0,0,0,111240,33.5,B19,S +172,0,3,"Rice, Master. Arthur",male,4.0,4,1,382652,29.125,,Q +173,1,3,"Johnson, Miss. Eleanor Ileen",female,1.0,1,1,347742,11.1333,,S +174,0,3,"Sivola, Mr. Antti Wilhelm",male,21.0,0,0,STON/O 2. 3101280,7.925,,S +175,0,1,"Smith, Mr. James Clinch",male,56.0,0,0,17764,30.6958,A7,C +176,0,3,"Klasen, Mr. Klas Albin",male,18.0,1,1,350404,7.8542,,S +177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S +178,0,1,"Isham, Miss. Ann Elizabeth",female,50.0,0,0,PC 17595,28.7125,C49,C +179,0,2,"Hale, Mr. Reginald",male,30.0,0,0,250653,13.0,,S +180,0,3,"Leonard, Mr. Lionel",male,36.0,0,0,LINE,0.0,,S +181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S +182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C +183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9.0,4,2,347077,31.3875,,S +184,1,2,"Becker, Master. Richard F",male,1.0,2,1,230136,39.0,F4,S +185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4.0,0,2,315153,22.025,,S +186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50.0,A32,S +187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q +188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45.0,0,0,111428,26.55,,S +189,0,3,"Bourke, Mr. John",male,40.0,1,1,364849,15.5,,Q +190,0,3,"Turcin, Mr. Stjepan",male,36.0,0,0,349247,7.8958,,S +191,1,2,"Pinsky, Mrs. (Rosa)",female,32.0,0,0,234604,13.0,,S +192,0,2,"Carbines, Mr. William",male,19.0,0,0,28424,13.0,,S +193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19.0,1,0,350046,7.8542,,S +194,1,2,"Navratil, Master. Michel M",male,3.0,1,1,230080,26.0,F2,S +195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44.0,0,0,PC 17610,27.7208,B4,C +196,1,1,"Lurette, Miss. Elise",female,58.0,0,0,PC 17569,146.5208,B80,C +197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q +198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42.0,0,1,4579,8.4042,,S +199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q +200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24.0,0,0,248747,13.0,,S +201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28.0,0,0,345770,9.5,,S +202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S +203,0,3,"Johanson, Mr. Jakob Alfred",male,34.0,0,0,3101264,6.4958,,S +204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C +205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18.0,0,0,A/5 3540,8.05,,S +206,0,3,"Strom, Miss. Telma Matilda",female,2.0,0,1,347054,10.4625,G6,S +207,0,3,"Backstrom, Mr. Karl Alfred",male,32.0,1,0,3101278,15.85,,S +208,1,3,"Albimona, Mr. Nassef Cassem",male,26.0,0,0,2699,18.7875,,C +209,1,3,"Carr, Miss. Helen ""Ellen""",female,16.0,0,0,367231,7.75,,Q +210,1,1,"Blank, Mr. Henry",male,40.0,0,0,112277,31.0,A31,C +211,0,3,"Ali, Mr. Ahmed",male,24.0,0,0,SOTON/O.Q. 3101311,7.05,,S +212,1,2,"Cameron, Miss. Clear Annie",female,35.0,0,0,F.C.C. 13528,21.0,,S +213,0,3,"Perkin, Mr. John Henry",male,22.0,0,0,A/5 21174,7.25,,S +214,0,2,"Givard, Mr. Hans Kristensen",male,30.0,0,0,250646,13.0,,S +215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q +216,1,1,"Newell, Miss. Madeleine",female,31.0,1,0,35273,113.275,D36,C +217,1,3,"Honkanen, Miss. Eliina",female,27.0,0,0,STON/O2. 3101283,7.925,,S +218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42.0,1,0,243847,27.0,,S +219,1,1,"Bazzani, Miss. Albina",female,32.0,0,0,11813,76.2917,D15,C +220,0,2,"Harris, Mr. Walter",male,30.0,0,0,W/C 14208,10.5,,S +221,1,3,"Sunderland, Mr. Victor Francis",male,16.0,0,0,SOTON/OQ 392089,8.05,,S +222,0,2,"Bracken, Mr. James H",male,27.0,0,0,220367,13.0,,S +223,0,3,"Green, Mr. George Henry",male,51.0,0,0,21440,8.05,,S +224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S +225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38.0,1,0,19943,90.0,C93,S +226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22.0,0,0,PP 4348,9.35,,S +227,1,2,"Mellors, Mr. William John",male,19.0,0,0,SW/PP 751,10.5,,S +228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S +229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18.0,0,0,236171,13.0,,S +230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S +231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35.0,1,0,36973,83.475,C83,S +232,0,3,"Larsson, Mr. Bengt Edvin",male,29.0,0,0,347067,7.775,,S +233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59.0,0,0,237442,13.5,,S +234,1,3,"Asplund, Miss. Lillian Gertrud",female,5.0,4,2,347077,31.3875,,S +235,0,2,"Leyson, Mr. Robert William Norman",male,24.0,0,0,C.A. 29566,10.5,,S +236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S +237,0,2,"Hold, Mr. Stephen",male,44.0,1,0,26707,26.0,,S +238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8.0,0,2,C.A. 31921,26.25,,S +239,0,2,"Pengelly, Mr. Frederick William",male,19.0,0,0,28665,10.5,,S +240,0,2,"Hunt, Mr. George Henry",male,33.0,0,0,SCO/W 1585,12.275,,S +241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C +242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q +243,0,2,"Coleridge, Mr. Reginald Charles",male,29.0,0,0,W./C. 14263,10.5,,S +244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22.0,0,0,STON/O 2. 3101275,7.125,,S +245,0,3,"Attalah, Mr. Sleiman",male,30.0,0,0,2694,7.225,,C +246,0,1,"Minahan, Dr. William Edward",male,44.0,2,0,19928,90.0,C78,Q +247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25.0,0,0,347071,7.775,,S +248,1,2,"Hamalainen, Mrs. William (Anna)",female,24.0,0,2,250649,14.5,,S +249,1,1,"Beckwith, Mr. Richard Leonard",male,37.0,1,1,11751,52.5542,D35,S +250,0,2,"Carter, Rev. Ernest Courtenay",male,54.0,1,0,244252,26.0,,S +251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S +252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29.0,1,1,347054,10.4625,G6,S +253,0,1,"Stead, Mr. William Thomas",male,62.0,0,0,113514,26.55,C87,S +254,0,3,"Lobb, Mr. William Arthur",male,30.0,1,0,A/5. 3336,16.1,,S +255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41.0,0,2,370129,20.2125,,S +256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29.0,0,2,2650,15.2458,,C +257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C +258,1,1,"Cherry, Miss. Gladys",female,30.0,0,0,110152,86.5,B77,S +259,1,1,"Ward, Miss. Anna",female,35.0,0,0,PC 17755,512.3292,,C +260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50.0,0,1,230433,26.0,,S +261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q +262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3.0,4,2,347077,31.3875,,S +263,0,1,"Taussig, Mr. Emil",male,52.0,1,1,110413,79.65,E67,S +264,0,1,"Harrison, Mr. William",male,40.0,0,0,112059,0.0,B94,S +265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q +266,0,2,"Reeves, Mr. David",male,36.0,0,0,C.A. 17248,10.5,,S +267,0,3,"Panula, Mr. Ernesti Arvid",male,16.0,4,1,3101295,39.6875,,S +268,1,3,"Persson, Mr. Ernst Ulrik",male,25.0,1,0,347083,7.775,,S +269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58.0,0,1,PC 17582,153.4625,C125,S +270,1,1,"Bissette, Miss. Amelia",female,35.0,0,0,PC 17760,135.6333,C99,S +271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31.0,,S +272,1,3,"Tornquist, Mr. William Henry",male,25.0,0,0,LINE,0.0,,S +273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41.0,0,1,250644,19.5,,S +274,0,1,"Natsch, Mr. Charles H",male,37.0,0,1,PC 17596,29.7,C118,C +275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q +276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63.0,1,0,13502,77.9583,D7,S +277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45.0,0,0,347073,7.75,,S +278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0.0,,S +279,0,3,"Rice, Master. Eric",male,7.0,4,1,382652,29.125,,Q +280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35.0,1,1,C.A. 2673,20.25,,S +281,0,3,"Duane, Mr. Frank",male,65.0,0,0,336439,7.75,,Q +282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28.0,0,0,347464,7.8542,,S +283,0,3,"de Pelsmaeker, Mr. Alfons",male,16.0,0,0,345778,9.5,,S +284,1,3,"Dorking, Mr. Edward Arthur",male,19.0,0,0,A/5. 10482,8.05,,S +285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26.0,A19,S +286,0,3,"Stankovic, Mr. Ivan",male,33.0,0,0,349239,8.6625,,C +287,1,3,"de Mulder, Mr. Theodore",male,30.0,0,0,345774,9.5,,S +288,0,3,"Naidenoff, Mr. Penko",male,22.0,0,0,349206,7.8958,,S +289,1,2,"Hosono, Mr. Masabumi",male,42.0,0,0,237798,13.0,,S +290,1,3,"Connolly, Miss. Kate",female,22.0,0,0,370373,7.75,,Q +291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26.0,0,0,19877,78.85,,S +292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19.0,1,0,11967,91.0792,B49,C +293,0,2,"Levy, Mr. Rene Jacques",male,36.0,0,0,SC/Paris 2163,12.875,D,C +294,0,3,"Haas, Miss. Aloisia",female,24.0,0,0,349236,8.85,,S +295,0,3,"Mineff, Mr. Ivan",male,24.0,0,0,349233,7.8958,,S +296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C +297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C +298,0,1,"Allison, Miss. Helen Loraine",female,2.0,1,2,113781,151.55,C22 C26,S +299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S +300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50.0,0,1,PC 17558,247.5208,B58 B60,C +301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q +302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q +303,0,3,"Johnson, Mr. William Cahoone Jr",male,19.0,0,0,LINE,0.0,,S +304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q +305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S +306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S +307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C +308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17.0,1,0,PC 17758,108.9,C65,C +309,0,2,"Abelson, Mr. Samuel",male,30.0,1,0,P/PP 3381,24.0,,C +310,1,1,"Francatelli, Miss. Laura Mabel",female,30.0,0,0,PC 17485,56.9292,E36,C +311,1,1,"Hays, Miss. Margaret Bechstein",female,24.0,0,0,11767,83.1583,C54,C +312,1,1,"Ryerson, Miss. Emily Borie",female,18.0,2,2,PC 17608,262.375,B57 B59 B63 B66,C +313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26.0,1,1,250651,26.0,,S +314,0,3,"Hendekovic, Mr. Ignjac",male,28.0,0,0,349243,7.8958,,S +315,0,2,"Hart, Mr. Benjamin",male,43.0,1,1,F.C.C. 13529,26.25,,S +316,1,3,"Nilsson, Miss. Helmina Josefina",female,26.0,0,0,347470,7.8542,,S +317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24.0,1,0,244367,26.0,,S +318,0,2,"Moraweck, Dr. Ernest",male,54.0,0,0,29011,14.0,,S +319,1,1,"Wick, Miss. Mary Natalie",female,31.0,0,2,36928,164.8667,C7,S +320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40.0,1,1,16966,134.5,E34,C +321,0,3,"Dennis, Mr. Samuel",male,22.0,0,0,A/5 21172,7.25,,S +322,0,3,"Danoff, Mr. Yoto",male,27.0,0,0,349219,7.8958,,S +323,1,2,"Slayter, Miss. Hilda Mary",female,30.0,0,0,234818,12.35,,Q +324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22.0,1,1,248738,29.0,,S +325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S +326,1,1,"Young, Miss. Marie Grice",female,36.0,0,0,PC 17760,135.6333,C32,C +327,0,3,"Nysveen, Mr. Johan Hansen",male,61.0,0,0,345364,6.2375,,S +328,1,2,"Ball, Mrs. (Ada E Hall)",female,36.0,0,0,28551,13.0,D,S +329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31.0,1,1,363291,20.525,,S +330,1,1,"Hippach, Miss. Jean Gertrude",female,16.0,0,1,111361,57.9792,B18,C +331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q +332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S +333,0,1,"Graham, Mr. George Edward",male,38.0,0,1,PC 17582,153.4625,C91,S +334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16.0,2,0,345764,18.0,,S +335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S +336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S +337,0,1,"Pears, Mr. Thomas Clinton",male,29.0,1,0,113776,66.6,C2,S +338,1,1,"Burns, Miss. Elizabeth Margaret",female,41.0,0,0,16966,134.5,E40,C +339,1,3,"Dahl, Mr. Karl Edwart",male,45.0,0,0,7598,8.05,,S +340,0,1,"Blackwell, Mr. Stephen Weart",male,45.0,0,0,113784,35.5,T,S +341,1,2,"Navratil, Master. Edmond Roger",male,2.0,1,1,230080,26.0,F2,S +342,1,1,"Fortune, Miss. Alice Elizabeth",female,24.0,3,2,19950,263.0,C23 C25 C27,S +343,0,2,"Collander, Mr. Erik Gustaf",male,28.0,0,0,248740,13.0,,S +344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25.0,0,0,244361,13.0,,S +345,0,2,"Fox, Mr. Stanley Hubert",male,36.0,0,0,229236,13.0,,S +346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24.0,0,0,248733,13.0,F33,S +347,1,2,"Smith, Miss. Marion Elsie",female,40.0,0,0,31418,13.0,,S +348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S +349,1,3,"Coutts, Master. William Loch ""William""",male,3.0,1,1,C.A. 37671,15.9,,S +350,0,3,"Dimic, Mr. Jovan",male,42.0,0,0,315088,8.6625,,S +351,0,3,"Odahl, Mr. Nils Martin",male,23.0,0,0,7267,9.225,,S +352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35.0,C128,S +353,0,3,"Elias, Mr. Tannous",male,15.0,1,1,2695,7.2292,,C +354,0,3,"Arnold-Franchi, Mr. Josef",male,25.0,1,0,349237,17.8,,S +355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C +356,0,3,"Vanden Steen, Mr. Leo Peter",male,28.0,0,0,345783,9.5,,S +357,1,1,"Bowerman, Miss. Elsie Edith",female,22.0,0,1,113505,55.0,E33,S +358,0,2,"Funk, Miss. Annie Clemmer",female,38.0,0,0,237671,13.0,,S +359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q +360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q +361,0,3,"Skoog, Mr. Wilhelm",male,40.0,1,4,347088,27.9,,S +362,0,2,"del Carlo, Mr. Sebastiano",male,29.0,1,0,SC/PARIS 2167,27.7208,,C +363,0,3,"Barbara, Mrs. (Catherine David)",female,45.0,0,1,2691,14.4542,,C +364,0,3,"Asim, Mr. Adola",male,35.0,0,0,SOTON/O.Q. 3101310,7.05,,S +365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q +366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30.0,0,0,C 7076,7.25,,S +367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60.0,1,0,110813,75.25,D37,C +368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C +369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q +370,1,1,"Aubart, Mme. Leontine Pauline",female,24.0,0,0,PC 17477,69.3,B35,C +371,1,1,"Harder, Mr. George Achilles",male,25.0,1,0,11765,55.4417,E50,C +372,0,3,"Wiklund, Mr. Jakob Alfred",male,18.0,1,0,3101267,6.4958,,S +373,0,3,"Beavan, Mr. William Thomas",male,19.0,0,0,323951,8.05,,S +374,0,1,"Ringhini, Mr. Sante",male,22.0,0,0,PC 17760,135.6333,,C +375,0,3,"Palsson, Miss. Stina Viola",female,3.0,3,1,349909,21.075,,S +376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C +377,1,3,"Landergren, Miss. Aurora Adelia",female,22.0,0,0,C 7077,7.25,,S +378,0,1,"Widener, Mr. Harry Elkins",male,27.0,0,2,113503,211.5,C82,C +379,0,3,"Betros, Mr. Tannous",male,20.0,0,0,2648,4.0125,,C +380,0,3,"Gustafsson, Mr. Karl Gideon",male,19.0,0,0,347069,7.775,,S +381,1,1,"Bidois, Miss. Rosalie",female,42.0,0,0,PC 17757,227.525,,C +382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1.0,0,2,2653,15.7417,,C +383,0,3,"Tikkanen, Mr. Juho",male,32.0,0,0,STON/O 2. 3101293,7.925,,S +384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35.0,1,0,113789,52.0,,S +385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S +386,0,2,"Davies, Mr. Charles Henry",male,18.0,0,0,S.O.C. 14879,73.5,,S +387,0,3,"Goodwin, Master. Sidney Leonard",male,1.0,5,2,CA 2144,46.9,,S +388,1,2,"Buss, Miss. Kate",female,36.0,0,0,27849,13.0,,S +389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q +390,1,2,"Lehmann, Miss. Bertha",female,17.0,0,0,SC 1748,12.0,,C +391,1,1,"Carter, Mr. William Ernest",male,36.0,1,2,113760,120.0,B96 B98,S +392,1,3,"Jansson, Mr. Carl Olof",male,21.0,0,0,350034,7.7958,,S +393,0,3,"Gustafsson, Mr. Johan Birger",male,28.0,2,0,3101277,7.925,,S +394,1,1,"Newell, Miss. Marjorie",female,23.0,1,0,35273,113.275,D36,C +395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24.0,0,2,PP 9549,16.7,G6,S +396,0,3,"Johansson, Mr. Erik",male,22.0,0,0,350052,7.7958,,S +397,0,3,"Olsson, Miss. Elina",female,31.0,0,0,350407,7.8542,,S +398,0,2,"McKane, Mr. Peter David",male,46.0,0,0,28403,26.0,,S +399,0,2,"Pain, Dr. Alfred",male,23.0,0,0,244278,10.5,,S +400,1,2,"Trout, Mrs. William H (Jessie L)",female,28.0,0,0,240929,12.65,,S +401,1,3,"Niskanen, Mr. Juha",male,39.0,0,0,STON/O 2. 3101289,7.925,,S +402,0,3,"Adams, Mr. John",male,26.0,0,0,341826,8.05,,S +403,0,3,"Jussila, Miss. Mari Aina",female,21.0,1,0,4137,9.825,,S +404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28.0,1,0,STON/O2. 3101279,15.85,,S +405,0,3,"Oreskovic, Miss. Marija",female,20.0,0,0,315096,8.6625,,S +406,0,2,"Gale, Mr. Shadrach",male,34.0,1,0,28664,21.0,,S +407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51.0,0,0,347064,7.75,,S +408,1,2,"Richards, Master. William Rowe",male,3.0,1,1,29106,18.75,,S +409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21.0,0,0,312992,7.775,,S +410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S +411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S +412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q +413,1,1,"Minahan, Miss. Daisy E",female,33.0,1,0,19928,90.0,C78,Q +414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0.0,,S +415,1,3,"Sundman, Mr. Johan Julian",male,44.0,0,0,STON/O 2. 3101269,7.925,,S +416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S +417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34.0,1,1,28220,32.5,,S +418,1,2,"Silven, Miss. Lyyli Karoliina",female,18.0,0,2,250652,13.0,,S +419,0,2,"Matthews, Mr. William John",male,30.0,0,0,28228,13.0,,S +420,0,3,"Van Impe, Miss. Catharina",female,10.0,0,2,345773,24.15,,S +421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C +422,0,3,"Charters, Mr. David",male,21.0,0,0,A/5. 13032,7.7333,,Q +423,0,3,"Zimmerman, Mr. Leo",male,29.0,0,0,315082,7.875,,S +424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28.0,1,1,347080,14.4,,S +425,0,3,"Rosblom, Mr. Viktor Richard",male,18.0,1,1,370129,20.2125,,S +426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S +427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28.0,1,0,2003,26.0,,S +428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19.0,0,0,250655,26.0,,S +429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q +430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32.0,0,0,SOTON/O.Q. 392078,8.05,E10,S +431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28.0,0,0,110564,26.55,C52,S +432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S +433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42.0,1,0,SC/AH 3085,26.0,,S +434,0,3,"Kallio, Mr. Nikolai Erland",male,17.0,0,0,STON/O 2. 3101274,7.125,,S +435,0,1,"Silvey, Mr. William Baird",male,50.0,1,0,13507,55.9,E44,S +436,1,1,"Carter, Miss. Lucile Polk",female,14.0,1,2,113760,120.0,B96 B98,S +437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21.0,2,2,W./C. 6608,34.375,,S +438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24.0,2,3,29106,18.75,,S +439,0,1,"Fortune, Mr. Mark",male,64.0,1,4,19950,263.0,C23 C25 C27,S +440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31.0,0,0,C.A. 18723,10.5,,S +441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45.0,1,1,F.C.C. 13529,26.25,,S +442,0,3,"Hampe, Mr. Leon",male,20.0,0,0,345769,9.5,,S +443,0,3,"Petterson, Mr. Johan Emil",male,25.0,1,0,347076,7.775,,S +444,1,2,"Reynaldo, Ms. Encarnacion",female,28.0,0,0,230434,13.0,,S +445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S +446,1,1,"Dodge, Master. Washington",male,4.0,0,2,33638,81.8583,A34,S +447,1,2,"Mellinger, Miss. Madeleine Violet",female,13.0,0,1,250644,19.5,,S +448,1,1,"Seward, Mr. Frederic Kimber",male,34.0,0,0,113794,26.55,,S +449,1,3,"Baclini, Miss. Marie Catherine",female,5.0,2,1,2666,19.2583,,C +450,1,1,"Peuchen, Major. Arthur Godfrey",male,52.0,0,0,113786,30.5,C104,S +451,0,2,"West, Mr. Edwy Arthur",male,36.0,1,2,C.A. 34651,27.75,,S +452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S +453,0,1,"Foreman, Mr. Benjamin Laventall",male,30.0,0,0,113051,27.75,C111,C +454,1,1,"Goldenberg, Mr. Samuel L",male,49.0,1,0,17453,89.1042,C92,C +455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S +456,1,3,"Jalsevac, Mr. Ivan",male,29.0,0,0,349240,7.8958,,C +457,0,1,"Millet, Mr. Francis Davis",male,65.0,0,0,13509,26.55,E38,S +458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S +459,1,2,"Toomey, Miss. Ellen",female,50.0,0,0,F.C.C. 13531,10.5,,S +460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q +461,1,1,"Anderson, Mr. Harry",male,48.0,0,0,19952,26.55,E12,S +462,0,3,"Morley, Mr. William",male,34.0,0,0,364506,8.05,,S +463,0,1,"Gee, Mr. Arthur H",male,47.0,0,0,111320,38.5,E63,S +464,0,2,"Milling, Mr. Jacob Christian",male,48.0,0,0,234360,13.0,,S +465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S +466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38.0,0,0,SOTON/O.Q. 3101306,7.05,,S +467,0,2,"Campbell, Mr. William",male,,0,0,239853,0.0,,S +468,0,1,"Smart, Mr. John Montgomery",male,56.0,0,0,113792,26.55,,S +469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q +470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C +471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S +472,0,3,"Cacic, Mr. Luka",male,38.0,0,0,315089,8.6625,,S +473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33.0,1,2,C.A. 34651,27.75,,S +474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23.0,0,0,SC/AH Basle 541,13.7917,D,C +475,0,3,"Strandberg, Miss. Ida Sofia",female,22.0,0,0,7553,9.8375,,S +476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52.0,A14,S +477,0,2,"Renouf, Mr. Peter Henry",male,34.0,1,0,31027,21.0,,S +478,0,3,"Braund, Mr. Lewis Richard",male,29.0,1,0,3460,7.0458,,S +479,0,3,"Karlsson, Mr. Nils August",male,22.0,0,0,350060,7.5208,,S +480,1,3,"Hirvonen, Miss. Hildur E",female,2.0,0,1,3101298,12.2875,,S +481,0,3,"Goodwin, Master. Harold Victor",male,9.0,5,2,CA 2144,46.9,,S +482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0.0,,S +483,0,3,"Rouse, Mr. Richard Henry",male,50.0,0,0,A/5 3594,8.05,,S +484,1,3,"Turkula, Mrs. (Hedwig)",female,63.0,0,0,4134,9.5875,,S +485,1,1,"Bishop, Mr. Dickinson H",male,25.0,1,0,11967,91.0792,B49,C +486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S +487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35.0,1,0,19943,90.0,C93,S +488,0,1,"Kent, Mr. Edward Austin",male,58.0,0,0,11771,29.7,B37,C +489,0,3,"Somerton, Mr. Francis William",male,30.0,0,0,A.5. 18509,8.05,,S +490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9.0,1,1,C.A. 37671,15.9,,S +491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S +492,0,3,"Windelov, Mr. Einar",male,21.0,0,0,SOTON/OQ 3101317,7.25,,S +493,0,1,"Molson, Mr. Harry Markland",male,55.0,0,0,113787,30.5,C30,S +494,0,1,"Artagaveytia, Mr. Ramon",male,71.0,0,0,PC 17609,49.5042,,C +495,0,3,"Stanley, Mr. Edward Roland",male,21.0,0,0,A/4 45380,8.05,,S +496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C +497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54.0,1,0,36947,78.2667,D20,C +498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S +499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25.0,1,2,113781,151.55,C22 C26,S +500,0,3,"Svensson, Mr. Olof",male,24.0,0,0,350035,7.7958,,S +501,0,3,"Calic, Mr. Petar",male,17.0,0,0,315086,8.6625,,S +502,0,3,"Canavan, Miss. Mary",female,21.0,0,0,364846,7.75,,Q +503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q +504,0,3,"Laitinen, Miss. Kristina Sofia",female,37.0,0,0,4135,9.5875,,S +505,1,1,"Maioni, Miss. Roberta",female,16.0,0,0,110152,86.5,B79,S +506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18.0,1,0,PC 17758,108.9,C65,C +507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33.0,0,2,26360,26.0,,S +508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S +509,0,3,"Olsen, Mr. Henry Margido",male,28.0,0,0,C 4001,22.525,,S +510,1,3,"Lang, Mr. Fang",male,26.0,0,0,1601,56.4958,,S +511,1,3,"Daly, Mr. Eugene Patrick",male,29.0,0,0,382651,7.75,,Q +512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S +513,1,1,"McGough, Mr. James Robert",male,36.0,0,0,PC 17473,26.2875,E25,S +514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54.0,1,0,PC 17603,59.4,,C +515,0,3,"Coleff, Mr. Satio",male,24.0,0,0,349209,7.4958,,S +516,0,1,"Walker, Mr. William Anderson",male,47.0,0,0,36967,34.0208,D46,S +517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34.0,0,0,C.A. 34260,10.5,F33,S +518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q +519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36.0,1,0,226875,26.0,,S +520,0,3,"Pavlovic, Mr. Stefo",male,32.0,0,0,349242,7.8958,,S +521,1,1,"Perreault, Miss. Anne",female,30.0,0,0,12749,93.5,B73,S +522,0,3,"Vovk, Mr. Janko",male,22.0,0,0,349252,7.8958,,S +523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C +524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44.0,0,1,111361,57.9792,B18,C +525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C +526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q +527,1,2,"Ridsdale, Miss. Lucy",female,50.0,0,0,W./C. 14258,10.5,,S +528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S +529,0,3,"Salonen, Mr. Johan Werner",male,39.0,0,0,3101296,7.925,,S +530,0,2,"Hocking, Mr. Richard George",male,23.0,2,1,29104,11.5,,S +531,1,2,"Quick, Miss. Phyllis May",female,2.0,1,1,26360,26.0,,S +532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C +533,0,3,"Elias, Mr. Joseph Jr",male,17.0,1,1,2690,7.2292,,C +534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C +535,0,3,"Cacic, Miss. Marija",female,30.0,0,0,315084,8.6625,,S +536,1,2,"Hart, Miss. Eva Miriam",female,7.0,0,2,F.C.C. 13529,26.25,,S +537,0,1,"Butt, Major. Archibald Willingham",male,45.0,0,0,113050,26.55,B38,S +538,1,1,"LeRoy, Miss. Bertha",female,30.0,0,0,PC 17761,106.425,,C +539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S +540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22.0,0,2,13568,49.5,B39,C +541,1,1,"Crosby, Miss. Harriet R",female,36.0,0,2,WE/P 5735,71.0,B22,S +542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9.0,4,2,347082,31.275,,S +543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11.0,4,2,347082,31.275,,S +544,1,2,"Beane, Mr. Edward",male,32.0,1,0,2908,26.0,,S +545,0,1,"Douglas, Mr. Walter Donald",male,50.0,1,0,PC 17761,106.425,C86,C +546,0,1,"Nicholson, Mr. Arthur Ernest",male,64.0,0,0,693,26.0,,S +547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19.0,1,0,2908,26.0,,S +548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C +549,0,3,"Goldsmith, Mr. Frank John",male,33.0,1,1,363291,20.525,,S +550,1,2,"Davies, Master. John Morgan Jr",male,8.0,1,1,C.A. 33112,36.75,,S +551,1,1,"Thayer, Mr. John Borland Jr",male,17.0,0,2,17421,110.8833,C70,C +552,0,2,"Sharp, Mr. Percival James R",male,27.0,0,0,244358,26.0,,S +553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q +554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22.0,0,0,2620,7.225,,C +555,1,3,"Ohman, Miss. Velin",female,22.0,0,0,347085,7.775,,S +556,0,1,"Wright, Mr. George",male,62.0,0,0,113807,26.55,,S +557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48.0,1,0,11755,39.6,A16,C +558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C +559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39.0,1,1,110413,79.65,E67,S +560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36.0,1,0,345572,17.4,,S +561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q +562,0,3,"Sivic, Mr. Husein",male,40.0,0,0,349251,7.8958,,S +563,0,2,"Norman, Mr. Robert Douglas",male,28.0,0,0,218629,13.5,,S +564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S +565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S +566,0,3,"Davies, Mr. Alfred J",male,24.0,2,0,A/4 48871,24.15,,S +567,0,3,"Stoytcheff, Mr. Ilia",male,19.0,0,0,349205,7.8958,,S +568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29.0,0,4,349909,21.075,,S +569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C +570,1,3,"Jonsson, Mr. Carl",male,32.0,0,0,350417,7.8542,,S +571,1,2,"Harris, Mr. George",male,62.0,0,0,S.W./PP 752,10.5,,S +572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53.0,2,0,11769,51.4792,C101,S +573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36.0,0,0,PC 17474,26.3875,E25,S +574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q +575,0,3,"Rush, Mr. Alfred George John",male,16.0,0,0,A/4. 20589,8.05,,S +576,0,3,"Patchett, Mr. George",male,19.0,0,0,358585,14.5,,S +577,1,2,"Garside, Miss. Ethel",female,34.0,0,0,243880,13.0,,S +578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39.0,1,0,13507,55.9,E44,S +579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C +580,1,3,"Jussila, Mr. Eiriik",male,32.0,0,0,STON/O 2. 3101286,7.925,,S +581,1,2,"Christy, Miss. Julie Rachel",female,25.0,1,1,237789,30.0,,S +582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39.0,1,1,17421,110.8833,C68,C +583,0,2,"Downton, Mr. William James",male,54.0,0,0,28403,26.0,,S +584,0,1,"Ross, Mr. John Hugo",male,36.0,0,0,13049,40.125,A10,C +585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C +586,1,1,"Taussig, Miss. Ruth",female,18.0,0,2,110413,79.65,E68,S +587,0,2,"Jarvis, Mr. John Denzil",male,47.0,0,0,237565,15.0,,S +588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60.0,1,1,13567,79.2,B41,C +589,0,3,"Gilinski, Mr. Eliezer",male,22.0,0,0,14973,8.05,,S +590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S +591,0,3,"Rintamaki, Mr. Matti",male,35.0,0,0,STON/O 2. 3101273,7.125,,S +592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52.0,1,0,36947,78.2667,D20,C +593,0,3,"Elsbury, Mr. William James",male,47.0,0,0,A/5 3902,7.25,,S +594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q +595,0,2,"Chapman, Mr. John Henry",male,37.0,1,0,SC/AH 29037,26.0,,S +596,0,3,"Van Impe, Mr. Jean Baptiste",male,36.0,1,1,345773,24.15,,S +597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33.0,,S +598,0,3,"Johnson, Mr. Alfred",male,49.0,0,0,LINE,0.0,,S +599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C +600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49.0,1,0,PC 17485,56.9292,A20,C +601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24.0,2,1,243847,27.0,,S +602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S +603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S +604,0,3,"Torber, Mr. Ernst William",male,44.0,0,0,364511,8.05,,S +605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35.0,0,0,111426,26.55,,C +606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36.0,1,0,349910,15.55,,S +607,0,3,"Karaic, Mr. Milan",male,30.0,0,0,349246,7.8958,,S +608,1,1,"Daniel, Mr. Robert Williams",male,27.0,0,0,113804,30.5,,S +609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22.0,1,2,SC/Paris 2123,41.5792,,C +610,1,1,"Shutes, Miss. Elizabeth W",female,40.0,0,0,PC 17582,153.4625,C125,S +611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39.0,1,5,347082,31.275,,S +612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S +613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q +614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q +615,0,3,"Brocklebank, Mr. William Alfred",male,35.0,0,0,364512,8.05,,S +616,1,2,"Herman, Miss. Alice",female,24.0,1,2,220845,65.0,,S +617,0,3,"Danbom, Mr. Ernst Gilbert",male,34.0,1,1,347080,14.4,,S +618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26.0,1,0,A/5. 3336,16.1,,S +619,1,2,"Becker, Miss. Marion Louise",female,4.0,2,1,230136,39.0,F4,S +620,0,2,"Gavey, Mr. Lawrence",male,26.0,0,0,31028,10.5,,S +621,0,3,"Yasbeck, Mr. Antoni",male,27.0,1,0,2659,14.4542,,C +622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42.0,1,0,11753,52.5542,D19,S +623,1,3,"Nakid, Mr. Sahid",male,20.0,1,1,2653,15.7417,,C +624,0,3,"Hansen, Mr. Henry Damsgaard",male,21.0,0,0,350029,7.8542,,S +625,0,3,"Bowen, Mr. David John ""Dai""",male,21.0,0,0,54636,16.1,,S +626,0,1,"Sutton, Mr. Frederick",male,61.0,0,0,36963,32.3208,D50,S +627,0,2,"Kirkland, Rev. Charles Leonard",male,57.0,0,0,219533,12.35,,Q +628,1,1,"Longley, Miss. Gretchen Fiske",female,21.0,0,0,13502,77.9583,D9,S +629,0,3,"Bostandyeff, Mr. Guentcho",male,26.0,0,0,349224,7.8958,,S +630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q +631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80.0,0,0,27042,30.0,A23,S +632,0,3,"Lundahl, Mr. Johan Svensson",male,51.0,0,0,347743,7.0542,,S +633,1,1,"Stahelin-Maeglin, Dr. Max",male,32.0,0,0,13214,30.5,B50,C +634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0.0,,S +635,0,3,"Skoog, Miss. Mabel",female,9.0,3,2,347088,27.9,,S +636,1,2,"Davis, Miss. Mary",female,28.0,0,0,237668,13.0,,S +637,0,3,"Leinonen, Mr. Antti Gustaf",male,32.0,0,0,STON/O 2. 3101292,7.925,,S +638,0,2,"Collyer, Mr. Harvey",male,31.0,1,1,C.A. 31921,26.25,,S +639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41.0,0,5,3101295,39.6875,,S +640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S +641,0,3,"Jensen, Mr. Hans Peder",male,20.0,0,0,350050,7.8542,,S +642,1,1,"Sagesser, Mlle. Emma",female,24.0,0,0,PC 17477,69.3,B35,C +643,0,3,"Skoog, Miss. Margit Elizabeth",female,2.0,3,2,347088,27.9,,S +644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S +645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C +646,1,1,"Harper, Mr. Henry Sleeper",male,48.0,1,0,PC 17572,76.7292,D33,C +647,0,3,"Cor, Mr. Liudevit",male,19.0,0,0,349231,7.8958,,S +648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56.0,0,0,13213,35.5,A26,C +649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S +650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23.0,0,0,CA. 2314,7.55,,S +651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S +652,1,2,"Doling, Miss. Elsie",female,18.0,0,1,231919,23.0,,S +653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21.0,0,0,8475,8.4333,,S +654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q +655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18.0,0,0,365226,6.75,,Q +656,0,2,"Hickman, Mr. Leonard Mark",male,24.0,2,0,S.O.C. 14879,73.5,,S +657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S +658,0,3,"Bourke, Mrs. John (Catherine)",female,32.0,1,1,364849,15.5,,Q +659,0,2,"Eitemiller, Mr. George Floyd",male,23.0,0,0,29751,13.0,,S +660,0,1,"Newell, Mr. Arthur Webster",male,58.0,0,2,35273,113.275,D48,C +661,1,1,"Frauenthal, Dr. Henry William",male,50.0,2,0,PC 17611,133.65,,S +662,0,3,"Badt, Mr. Mohamed",male,40.0,0,0,2623,7.225,,C +663,0,1,"Colley, Mr. Edward Pomeroy",male,47.0,0,0,5727,25.5875,E58,S +664,0,3,"Coleff, Mr. Peju",male,36.0,0,0,349210,7.4958,,S +665,1,3,"Lindqvist, Mr. Eino William",male,20.0,1,0,STON/O 2. 3101285,7.925,,S +666,0,2,"Hickman, Mr. Lewis",male,32.0,2,0,S.O.C. 14879,73.5,,S +667,0,2,"Butler, Mr. Reginald Fenton",male,25.0,0,0,234686,13.0,,S +668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S +669,0,3,"Cook, Mr. Jacob",male,43.0,0,0,A/5 3536,8.05,,S +670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52.0,C126,S +671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40.0,1,1,29750,39.0,,S +672,0,1,"Davidson, Mr. Thornton",male,31.0,1,0,F.C. 12750,52.0,B71,S +673,0,2,"Mitchell, Mr. Henry Michael",male,70.0,0,0,C.A. 24580,10.5,,S +674,1,2,"Wilhelms, Mr. Charles",male,31.0,0,0,244270,13.0,,S +675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0.0,,S +676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18.0,0,0,349912,7.775,,S +677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S +678,1,3,"Turja, Miss. Anna Sofia",female,18.0,0,0,4138,9.8417,,S +679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43.0,1,6,CA 2144,46.9,,S +680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36.0,0,1,PC 17755,512.3292,B51 B53 B55,C +681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q +682,1,1,"Hassab, Mr. Hammad",male,27.0,0,0,PC 17572,76.7292,D49,C +683,0,3,"Olsvigen, Mr. Thor Anderson",male,20.0,0,0,6563,9.225,,S +684,0,3,"Goodwin, Mr. Charles Edward",male,14.0,5,2,CA 2144,46.9,,S +685,0,2,"Brown, Mr. Thomas William Solomon",male,60.0,1,1,29750,39.0,,S +686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25.0,1,2,SC/Paris 2123,41.5792,,C +687,0,3,"Panula, Mr. Jaako Arnold",male,14.0,4,1,3101295,39.6875,,S +688,0,3,"Dakic, Mr. Branko",male,19.0,0,0,349228,10.1708,,S +689,0,3,"Fischer, Mr. Eberhard Thelander",male,18.0,0,0,350036,7.7958,,S +690,1,1,"Madill, Miss. Georgette Alexandra",female,15.0,0,1,24160,211.3375,B5,S +691,1,1,"Dick, Mr. Albert Adrian",male,31.0,1,0,17474,57.0,B20,S +692,1,3,"Karun, Miss. Manca",female,4.0,0,1,349256,13.4167,,C +693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S +694,0,3,"Saad, Mr. Khalil",male,25.0,0,0,2672,7.225,,C +695,0,1,"Weir, Col. John",male,60.0,0,0,113800,26.55,,S +696,0,2,"Chapman, Mr. Charles Henry",male,52.0,0,0,248731,13.5,,S +697,0,3,"Kelly, Mr. James",male,44.0,0,0,363592,8.05,,S +698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q +699,0,1,"Thayer, Mr. John Borland",male,49.0,1,1,17421,110.8833,C68,C +700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42.0,0,0,348121,7.65,F G63,S +701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18.0,1,0,PC 17757,227.525,C62 C64,C +702,1,1,"Silverthorne, Mr. Spencer Victor",male,35.0,0,0,PC 17475,26.2875,E24,S +703,0,3,"Barbara, Miss. Saiide",female,18.0,0,1,2691,14.4542,,C +704,0,3,"Gallagher, Mr. Martin",male,25.0,0,0,36864,7.7417,,Q +705,0,3,"Hansen, Mr. Henrik Juul",male,26.0,1,0,350025,7.8542,,S +706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39.0,0,0,250655,26.0,,S +707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45.0,0,0,223596,13.5,,S +708,1,1,"Calderhead, Mr. Edward Pennington",male,42.0,0,0,PC 17476,26.2875,E24,S +709,1,1,"Cleaver, Miss. Alice",female,22.0,0,0,113781,151.55,,S +710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C +711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24.0,0,0,PC 17482,49.5042,C90,C +712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S +713,1,1,"Taylor, Mr. Elmer Zebley",male,48.0,1,0,19996,52.0,C126,S +714,0,3,"Larsson, Mr. August Viktor",male,29.0,0,0,7545,9.4833,,S +715,0,2,"Greenberg, Mr. Samuel",male,52.0,0,0,250647,13.0,,S +716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19.0,0,0,348124,7.65,F G73,S +717,1,1,"Endres, Miss. Caroline Louise",female,38.0,0,0,PC 17757,227.525,C45,C +718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27.0,0,0,34218,10.5,E101,S +719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q +720,0,3,"Johnson, Mr. Malkolm Joackim",male,33.0,0,0,347062,7.775,,S +721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6.0,0,1,248727,33.0,,S +722,0,3,"Jensen, Mr. Svend Lauritz",male,17.0,1,0,350048,7.0542,,S +723,0,2,"Gillespie, Mr. William Henry",male,34.0,0,0,12233,13.0,,S +724,0,2,"Hodges, Mr. Henry Price",male,50.0,0,0,250643,13.0,,S +725,1,1,"Chambers, Mr. Norman Campbell",male,27.0,1,0,113806,53.1,E8,S +726,0,3,"Oreskovic, Mr. Luka",male,20.0,0,0,315094,8.6625,,S +727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30.0,3,0,31027,21.0,,S +728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q +729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25.0,1,0,236853,26.0,,S +730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25.0,1,0,STON/O2. 3101271,7.925,,S +731,1,1,"Allen, Miss. Elisabeth Walton",female,29.0,0,0,24160,211.3375,B5,S +732,0,3,"Hassan, Mr. Houssein G N",male,11.0,0,0,2699,18.7875,,C +733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0.0,,S +734,0,2,"Berriman, Mr. William John",male,23.0,0,0,28425,13.0,,S +735,0,2,"Troupiansky, Mr. Moses Aaron",male,23.0,0,0,233639,13.0,,S +736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S +737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48.0,1,3,W./C. 6608,34.375,,S +738,1,1,"Lesurer, Mr. Gustave J",male,35.0,0,0,PC 17755,512.3292,B101,C +739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S +740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S +741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30.0,D45,S +742,0,1,"Cavendish, Mr. Tyrell William",male,36.0,1,0,19877,78.85,C46,S +743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21.0,2,2,PC 17608,262.375,B57 B59 B63 B66,C +744,0,3,"McNamee, Mr. Neal",male,24.0,1,0,376566,16.1,,S +745,1,3,"Stranden, Mr. Juho",male,31.0,0,0,STON/O 2. 3101288,7.925,,S +746,0,1,"Crosby, Capt. Edward Gifford",male,70.0,1,1,WE/P 5735,71.0,B22,S +747,0,3,"Abbott, Mr. Rossmore Edward",male,16.0,1,1,C.A. 2673,20.25,,S +748,1,2,"Sinkkonen, Miss. Anna",female,30.0,0,0,250648,13.0,,S +749,0,1,"Marvin, Mr. Daniel Warner",male,19.0,1,0,113773,53.1,D30,S +750,0,3,"Connaghton, Mr. Michael",male,31.0,0,0,335097,7.75,,Q +751,1,2,"Wells, Miss. Joan",female,4.0,1,1,29103,23.0,,S +752,1,3,"Moor, Master. Meier",male,6.0,0,1,392096,12.475,E121,S +753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33.0,0,0,345780,9.5,,S +754,0,3,"Jonkoff, Mr. Lalio",male,23.0,0,0,349204,7.8958,,S +755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48.0,1,2,220845,65.0,,S +756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S +757,0,3,"Carlsson, Mr. August Sigfrid",male,28.0,0,0,350042,7.7958,,S +758,0,2,"Bailey, Mr. Percy Andrew",male,18.0,0,0,29108,11.5,,S +759,0,3,"Theobald, Mr. Thomas Leonard",male,34.0,0,0,363294,8.05,,S +760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33.0,0,0,110152,86.5,B77,S +761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S +762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41.0,0,0,SOTON/O2 3101272,7.125,,S +763,1,3,"Barah, Mr. Hanna Assi",male,20.0,0,0,2663,7.2292,,C +764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36.0,1,2,113760,120.0,B96 B98,S +765,0,3,"Eklund, Mr. Hans Linus",male,16.0,0,0,347074,7.775,,S +766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51.0,1,0,13502,77.9583,D11,S +767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C +768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q +769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q +770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32.0,0,0,8471,8.3625,,S +771,0,3,"Lievens, Mr. Rene Aime",male,24.0,0,0,345781,9.5,,S +772,0,3,"Jensen, Mr. Niels Peder",male,48.0,0,0,350047,7.8542,,S +773,0,2,"Mack, Mrs. (Mary)",female,57.0,0,0,S.O./P.P. 3,10.5,E77,S +774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C +775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54.0,1,3,29105,23.0,,S +776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18.0,0,0,347078,7.75,,S +777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q +778,1,3,"Emanuel, Miss. Virginia Ethel",female,5.0,0,0,364516,12.475,,S +779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q +780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43.0,0,1,24160,211.3375,B3,S +781,1,3,"Ayoub, Miss. Banoura",female,13.0,0,0,2687,7.2292,,C +782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17.0,1,0,17474,57.0,B20,S +783,0,1,"Long, Mr. Milton Clyde",male,29.0,0,0,113501,30.0,D6,S +784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S +785,0,3,"Ali, Mr. William",male,25.0,0,0,SOTON/O.Q. 3101312,7.05,,S +786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25.0,0,0,374887,7.25,,S +787,1,3,"Sjoblom, Miss. Anna Sofia",female,18.0,0,0,3101265,7.4958,,S +788,0,3,"Rice, Master. George Hugh",male,8.0,4,1,382652,29.125,,Q +789,1,3,"Dean, Master. Bertram Vere",male,1.0,1,2,C.A. 2315,20.575,,S +790,0,1,"Guggenheim, Mr. Benjamin",male,46.0,0,0,PC 17593,79.2,B82 B84,C +791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q +792,0,2,"Gaskell, Mr. Alfred",male,16.0,0,0,239865,26.0,,S +793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S +794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C +795,0,3,"Dantcheff, Mr. Ristiu",male,25.0,0,0,349203,7.8958,,S +796,0,2,"Otter, Mr. Richard",male,39.0,0,0,28213,13.0,,S +797,1,1,"Leader, Dr. Alice (Farnham)",female,49.0,0,0,17465,25.9292,D17,S +798,1,3,"Osman, Mrs. Mara",female,31.0,0,0,349244,8.6833,,S +799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30.0,0,0,2685,7.2292,,C +800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30.0,1,1,345773,24.15,,S +801,0,2,"Ponesell, Mr. Martin",male,34.0,0,0,250647,13.0,,S +802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31.0,1,1,C.A. 31921,26.25,,S +803,1,1,"Carter, Master. William Thornton II",male,11.0,1,2,113760,120.0,B96 B98,S +804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C +805,1,3,"Hedman, Mr. Oskar Arvid",male,27.0,0,0,347089,6.975,,S +806,0,3,"Johansson, Mr. Karl Johan",male,31.0,0,0,347063,7.775,,S +807,0,1,"Andrews, Mr. Thomas Jr",male,39.0,0,0,112050,0.0,A36,S +808,0,3,"Pettersson, Miss. Ellen Natalia",female,18.0,0,0,347087,7.775,,S +809,0,2,"Meyer, Mr. August",male,39.0,0,0,248723,13.0,,S +810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33.0,1,0,113806,53.1,E8,S +811,0,3,"Alexander, Mr. William",male,26.0,0,0,3474,7.8875,,S +812,0,3,"Lester, Mr. James",male,39.0,0,0,A/4 48871,24.15,,S +813,0,2,"Slemen, Mr. Richard James",male,35.0,0,0,28206,10.5,,S +814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6.0,4,2,347082,31.275,,S +815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S +816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0.0,B102,S +817,0,3,"Heininen, Miss. Wendla Maria",female,23.0,0,0,STON/O2. 3101290,7.925,,S +818,0,2,"Mallet, Mr. Albert",male,31.0,1,1,S.C./PARIS 2079,37.0042,,C +819,0,3,"Holm, Mr. John Fredrik Alexander",male,43.0,0,0,C 7075,6.45,,S +820,0,3,"Skoog, Master. Karl Thorsten",male,10.0,3,2,347088,27.9,,S +821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52.0,1,1,12749,93.5,B69,S +822,1,3,"Lulic, Mr. Nikola",male,27.0,0,0,315098,8.6625,,S +823,0,1,"Reuchlin, Jonkheer. John George",male,38.0,0,0,19972,0.0,,S +824,1,3,"Moor, Mrs. (Beila)",female,27.0,0,1,392096,12.475,E121,S +825,0,3,"Panula, Master. Urho Abraham",male,2.0,4,1,3101295,39.6875,,S +826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q +827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S +828,1,2,"Mallet, Master. Andre",male,1.0,0,2,S.C./PARIS 2079,37.0042,,C +829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q +830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62.0,0,0,113572,80.0,B28, +831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15.0,1,0,2659,14.4542,,C +832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S +833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C +834,0,3,"Augustsson, Mr. Albert",male,23.0,0,0,347468,7.8542,,S +835,0,3,"Allum, Mr. Owen George",male,18.0,0,0,2223,8.3,,S +836,1,1,"Compton, Miss. Sara Rebecca",female,39.0,1,1,PC 17756,83.1583,E49,C +837,0,3,"Pasic, Mr. Jakob",male,21.0,0,0,315097,8.6625,,S +838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S +839,1,3,"Chip, Mr. Chang",male,32.0,0,0,1601,56.4958,,S +840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C +841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20.0,0,0,SOTON/O2 3101287,7.925,,S +842,0,2,"Mudd, Mr. Thomas Charles",male,16.0,0,0,S.O./P.P. 3,10.5,,S +843,1,1,"Serepeca, Miss. Augusta",female,30.0,0,0,113798,31.0,,C +844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C +845,0,3,"Culumovic, Mr. Jeso",male,17.0,0,0,315090,8.6625,,S +846,0,3,"Abbing, Mr. Anthony",male,42.0,0,0,C.A. 5547,7.55,,S +847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S +848,0,3,"Markoff, Mr. Marin",male,35.0,0,0,349213,7.8958,,C +849,0,2,"Harper, Rev. John",male,28.0,0,1,248727,33.0,,S +850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C +851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4.0,4,2,347082,31.275,,S +852,0,3,"Svensson, Mr. Johan",male,74.0,0,0,347060,7.775,,S +853,0,3,"Boulos, Miss. Nourelain",female,9.0,1,1,2678,15.2458,,C +854,1,1,"Lines, Miss. Mary Conover",female,16.0,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44.0,1,0,244252,26.0,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18.0,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45.0,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51.0,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24.0,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41.0,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21.0,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48.0,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24.0,0,0,233866,13.0,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42.0,0,0,236852,13.0,,S +867,1,2,"Duran y More, Miss. Asuncion",female,27.0,1,0,SC/PARIS 2149,13.8583,,C +868,0,1,"Roebling, Mr. Washington Augustus II",male,31.0,0,0,PC 17590,50.4958,A24,S +869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S +870,1,3,"Johnson, Master. Harold Theodor",male,4.0,1,1,347742,11.1333,,S +871,0,3,"Balkic, Mr. Cerin",male,26.0,0,0,349248,7.8958,,S +872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47.0,1,1,11751,52.5542,D35,S +873,0,1,"Carlsson, Mr. Frans Olof",male,33.0,0,0,695,5.0,B51 B53 B55,S +874,0,3,"Vander Cruyssen, Mr. Victor",male,47.0,0,0,345765,9.0,,S +875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28.0,1,0,P/PP 3381,24.0,,C +876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15.0,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20.0,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19.0,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56.0,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25.0,0,1,230433,26.0,,S +882,0,3,"Markun, Mr. Johann",male,33.0,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22.0,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28.0,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25.0,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39.0,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27.0,0,0,211536,13.0,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19.0,0,0,112053,30.0,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26.0,0,0,111369,30.0,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32.0,0,0,370376,7.75,,Q diff --git a/exercicios/para-casa/titanic.csv b/exercicios/para-casa/titanic.csv new file mode 100644 index 0000000..5cc466e --- /dev/null +++ b/exercicios/para-casa/titanic.csv @@ -0,0 +1,892 @@ +PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S +17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S +22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S +90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S +91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S +92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S +93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S +94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S +95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S +96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S +97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C +98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C +99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S +100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S +101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S +102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S +103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S +104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S +105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S +106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S +107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S +108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S +109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S +110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q +111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S +112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C +113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S +114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S +115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C +116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S +117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q +118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S +119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C +120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S +121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S +122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S +123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C +124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S +125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S +126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C +127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q +128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S +129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C +130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S +131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C +132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S +133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S +134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S +135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S +136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C +137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S +138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S +139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S +140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C +141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C +142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S +143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S +144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q +145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S +146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S +147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S +148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S +149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S +150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S +151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S +152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S +153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S +154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S +155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S +156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C +157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q +158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S +159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S +160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S +161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S +162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S +163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S +164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S +165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S +166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S +167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S +168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S +169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S +170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S +171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S +172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q +173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S +174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S +175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C +176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S +177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S +178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C +179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S +180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S +181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S +182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C +183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S +184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S +185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S +186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S +187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q +188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S +189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q +190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S +191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S +192,0,2,"Carbines, Mr. William",male,19,0,0,28424,13,,S +193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S +194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S +195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44,0,0,PC 17610,27.7208,B4,C +196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C +197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q +198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S +199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q +200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S +201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S +202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S +203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S +204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C +205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S +206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S +207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S +208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C +209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q +210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C +211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S +212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S +213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S +214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S +215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q +216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C +217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S +218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42,1,0,243847,27,,S +219,1,1,"Bazzani, Miss. Albina",female,32,0,0,11813,76.2917,D15,C +220,0,2,"Harris, Mr. Walter",male,30,0,0,W/C 14208,10.5,,S +221,1,3,"Sunderland, Mr. Victor Francis",male,16,0,0,SOTON/OQ 392089,8.05,,S +222,0,2,"Bracken, Mr. James H",male,27,0,0,220367,13,,S +223,0,3,"Green, Mr. George Henry",male,51,0,0,21440,8.05,,S +224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S +225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38,1,0,19943,90,C93,S +226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22,0,0,PP 4348,9.35,,S +227,1,2,"Mellors, Mr. William John",male,19,0,0,SW/PP 751,10.5,,S +228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S +229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18,0,0,236171,13,,S +230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S +231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35,1,0,36973,83.475,C83,S +232,0,3,"Larsson, Mr. Bengt Edvin",male,29,0,0,347067,7.775,,S +233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59,0,0,237442,13.5,,S +234,1,3,"Asplund, Miss. Lillian Gertrud",female,5,4,2,347077,31.3875,,S +235,0,2,"Leyson, Mr. Robert William Norman",male,24,0,0,C.A. 29566,10.5,,S +236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S +237,0,2,"Hold, Mr. Stephen",male,44,1,0,26707,26,,S +238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8,0,2,C.A. 31921,26.25,,S +239,0,2,"Pengelly, Mr. Frederick William",male,19,0,0,28665,10.5,,S +240,0,2,"Hunt, Mr. George Henry",male,33,0,0,SCO/W 1585,12.275,,S +241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C +242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q +243,0,2,"Coleridge, Mr. Reginald Charles",male,29,0,0,W./C. 14263,10.5,,S +244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22,0,0,STON/O 2. 3101275,7.125,,S +245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C +246,0,1,"Minahan, Dr. William Edward",male,44,2,0,19928,90,C78,Q +247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25,0,0,347071,7.775,,S +248,1,2,"Hamalainen, Mrs. William (Anna)",female,24,0,2,250649,14.5,,S +249,1,1,"Beckwith, Mr. Richard Leonard",male,37,1,1,11751,52.5542,D35,S +250,0,2,"Carter, Rev. Ernest Courtenay",male,54,1,0,244252,26,,S +251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S +252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29,1,1,347054,10.4625,G6,S +253,0,1,"Stead, Mr. William Thomas",male,62,0,0,113514,26.55,C87,S +254,0,3,"Lobb, Mr. William Arthur",male,30,1,0,A/5. 3336,16.1,,S +255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S +256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C +257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C +258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S +259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C +260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S +261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q +262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S +263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S +264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S +265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q +266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S +267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S +268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S +269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S +270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S +271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S +272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S +273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S +274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C +275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q +276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S +277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S +278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S +279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q +280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S +281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q +282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S +283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S +284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S +285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S +286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C +287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S +288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S +289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S +290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q +291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S +292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C +293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C +294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S +295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S +296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C +297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C +298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S +299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S +300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C +301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q +302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q +303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S +304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q +305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S +306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S +307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C +308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C +309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C +310,1,1,"Francatelli, Miss. Laura Mabel",female,30,0,0,PC 17485,56.9292,E36,C +311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C +312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C +313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S +314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S +315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S +316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S +317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S +318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S +319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S +320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C +321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S +322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S +323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q +324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S +325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S +326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C +327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S +328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S +329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S +330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C +331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q +332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S +333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S +334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16,2,0,345764,18,,S +335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S +336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S +337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S +338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C +339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S +340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S +341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S +342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S +343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S +344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S +345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S +346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S +347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S +348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S +349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S +350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S +351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S +352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S +353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C +354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S +355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C +356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S +357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S +358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S +359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q +360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q +361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S +362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C +363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C +364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S +365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q +366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S +367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C +368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C +369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q +370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C +371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C +372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S +373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S +374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C +375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S +376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C +377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S +378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C +379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C +380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S +381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C +382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C +383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S +384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S +385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S +386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S +387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S +388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S +389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q +390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C +391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S +392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S +393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S +394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C +395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24,0,2,PP 9549,16.7,G6,S +396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S +397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S +398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S +399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S +400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S +401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S +402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S +403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S +404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S +405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S +406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S +407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S +408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S +409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S +410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S +411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S +412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q +413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q +414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S +415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S +416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S +417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S +418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S +419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S +420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S +421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C +422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q +423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S +424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S +425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S +426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S +427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S +428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S +429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q +430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S +431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28,0,0,110564,26.55,C52,S +432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S +433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42,1,0,SC/AH 3085,26,,S +434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S +435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S +436,1,1,"Carter, Miss. Lucile Polk",female,14,1,2,113760,120,B96 B98,S +437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S +438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S +439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S +440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S +441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S +442,0,3,"Hampe, Mr. Leon",male,20,0,0,345769,9.5,,S +443,0,3,"Petterson, Mr. Johan Emil",male,25,1,0,347076,7.775,,S +444,1,2,"Reynaldo, Ms. Encarnacion",female,28,0,0,230434,13,,S +445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S +446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S +447,1,2,"Mellinger, Miss. Madeleine Violet",female,13,0,1,250644,19.5,,S +448,1,1,"Seward, Mr. Frederic Kimber",male,34,0,0,113794,26.55,,S +449,1,3,"Baclini, Miss. Marie Catherine",female,5,2,1,2666,19.2583,,C +450,1,1,"Peuchen, Major. Arthur Godfrey",male,52,0,0,113786,30.5,C104,S +451,0,2,"West, Mr. Edwy Arthur",male,36,1,2,C.A. 34651,27.75,,S +452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S +453,0,1,"Foreman, Mr. Benjamin Laventall",male,30,0,0,113051,27.75,C111,C +454,1,1,"Goldenberg, Mr. Samuel L",male,49,1,0,17453,89.1042,C92,C +455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S +456,1,3,"Jalsevac, Mr. Ivan",male,29,0,0,349240,7.8958,,C +457,0,1,"Millet, Mr. Francis Davis",male,65,0,0,13509,26.55,E38,S +458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S +459,1,2,"Toomey, Miss. Ellen",female,50,0,0,F.C.C. 13531,10.5,,S +460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q +461,1,1,"Anderson, Mr. Harry",male,48,0,0,19952,26.55,E12,S +462,0,3,"Morley, Mr. William",male,34,0,0,364506,8.05,,S +463,0,1,"Gee, Mr. Arthur H",male,47,0,0,111320,38.5,E63,S +464,0,2,"Milling, Mr. Jacob Christian",male,48,0,0,234360,13,,S +465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S +466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38,0,0,SOTON/O.Q. 3101306,7.05,,S +467,0,2,"Campbell, Mr. William",male,,0,0,239853,0,,S +468,0,1,"Smart, Mr. John Montgomery",male,56,0,0,113792,26.55,,S +469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q +470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C +471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S +472,0,3,"Cacic, Mr. Luka",male,38,0,0,315089,8.6625,,S +473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33,1,2,C.A. 34651,27.75,,S +474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C +475,0,3,"Strandberg, Miss. Ida Sofia",female,22,0,0,7553,9.8375,,S +476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52,A14,S +477,0,2,"Renouf, Mr. Peter Henry",male,34,1,0,31027,21,,S +478,0,3,"Braund, Mr. Lewis Richard",male,29,1,0,3460,7.0458,,S +479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S +480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S +481,0,3,"Goodwin, Master. Harold Victor",male,9,5,2,CA 2144,46.9,,S +482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0,,S +483,0,3,"Rouse, Mr. Richard Henry",male,50,0,0,A/5 3594,8.05,,S +484,1,3,"Turkula, Mrs. (Hedwig)",female,63,0,0,4134,9.5875,,S +485,1,1,"Bishop, Mr. Dickinson H",male,25,1,0,11967,91.0792,B49,C +486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S +487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35,1,0,19943,90,C93,S +488,0,1,"Kent, Mr. Edward Austin",male,58,0,0,11771,29.7,B37,C +489,0,3,"Somerton, Mr. Francis William",male,30,0,0,A.5. 18509,8.05,,S +490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9,1,1,C.A. 37671,15.9,,S +491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S +492,0,3,"Windelov, Mr. Einar",male,21,0,0,SOTON/OQ 3101317,7.25,,S +493,0,1,"Molson, Mr. Harry Markland",male,55,0,0,113787,30.5,C30,S +494,0,1,"Artagaveytia, Mr. Ramon",male,71,0,0,PC 17609,49.5042,,C +495,0,3,"Stanley, Mr. Edward Roland",male,21,0,0,A/4 45380,8.05,,S +496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C +497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54,1,0,36947,78.2667,D20,C +498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S +499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S +500,0,3,"Svensson, Mr. Olof",male,24,0,0,350035,7.7958,,S +501,0,3,"Calic, Mr. Petar",male,17,0,0,315086,8.6625,,S +502,0,3,"Canavan, Miss. Mary",female,21,0,0,364846,7.75,,Q +503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q +504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S +505,1,1,"Maioni, Miss. Roberta",female,16,0,0,110152,86.5,B79,S +506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18,1,0,PC 17758,108.9,C65,C +507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33,0,2,26360,26,,S +508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S +509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S +510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S +511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q +512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S +513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S +514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C +515,0,3,"Coleff, Mr. Satio",male,24,0,0,349209,7.4958,,S +516,0,1,"Walker, Mr. William Anderson",male,47,0,0,36967,34.0208,D46,S +517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34,0,0,C.A. 34260,10.5,F33,S +518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q +519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S +520,0,3,"Pavlovic, Mr. Stefo",male,32,0,0,349242,7.8958,,S +521,1,1,"Perreault, Miss. Anne",female,30,0,0,12749,93.5,B73,S +522,0,3,"Vovk, Mr. Janko",male,22,0,0,349252,7.8958,,S +523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C +524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44,0,1,111361,57.9792,B18,C +525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C +526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q +527,1,2,"Ridsdale, Miss. Lucy",female,50,0,0,W./C. 14258,10.5,,S +528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S +529,0,3,"Salonen, Mr. Johan Werner",male,39,0,0,3101296,7.925,,S +530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S +531,1,2,"Quick, Miss. Phyllis May",female,2,1,1,26360,26,,S +532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C +533,0,3,"Elias, Mr. Joseph Jr",male,17,1,1,2690,7.2292,,C +534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C +535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S +536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S +537,0,1,"Butt, Major. Archibald Willingham",male,45,0,0,113050,26.55,B38,S +538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C +539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S +540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C +541,1,1,"Crosby, Miss. Harriet R",female,36,0,2,WE/P 5735,71,B22,S +542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9,4,2,347082,31.275,,S +543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S +544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S +545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C +546,0,1,"Nicholson, Mr. Arthur Ernest",male,64,0,0,693,26,,S +547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19,1,0,2908,26,,S +548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C +549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S +550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S +551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C +552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S +553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q +554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22,0,0,2620,7.225,,C +555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S +556,0,1,"Wright, Mr. George",male,62,0,0,113807,26.55,,S +557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C +558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C +559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39,1,1,110413,79.65,E67,S +560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S +561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q +562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S +563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S +564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S +565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S +566,0,3,"Davies, Mr. Alfred J",male,24,2,0,A/4 48871,24.15,,S +567,0,3,"Stoytcheff, Mr. Ilia",male,19,0,0,349205,7.8958,,S +568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29,0,4,349909,21.075,,S +569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C +570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S +571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S +572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53,2,0,11769,51.4792,C101,S +573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S +574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q +575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S +576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S +577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S +578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S +579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C +580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S +581,1,2,"Christy, Miss. Julie Rachel",female,25,1,1,237789,30,,S +582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39,1,1,17421,110.8833,C68,C +583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S +584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C +585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C +586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S +587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S +588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C +589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S +590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S +591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S +592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C +593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S +594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q +595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S +596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S +597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33,,S +598,0,3,"Johnson, Mr. Alfred",male,49,0,0,LINE,0,,S +599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C +600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49,1,0,PC 17485,56.9292,A20,C +601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S +602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S +603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S +604,0,3,"Torber, Mr. Ernst William",male,44,0,0,364511,8.05,,S +605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C +606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S +607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S +608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S +609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22,1,2,SC/Paris 2123,41.5792,,C +610,1,1,"Shutes, Miss. Elizabeth W",female,40,0,0,PC 17582,153.4625,C125,S +611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39,1,5,347082,31.275,,S +612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S +613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q +614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q +615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S +616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S +617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S +618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S +619,1,2,"Becker, Miss. Marion Louise",female,4,2,1,230136,39,F4,S +620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S +621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C +622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S +623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C +624,0,3,"Hansen, Mr. Henry Damsgaard",male,21,0,0,350029,7.8542,,S +625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S +626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S +627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q +628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S +629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S +630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q +631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S +632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S +633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C +634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S +635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S +636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S +637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S +638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S +639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S +640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S +641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S +642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C +643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S +644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S +645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C +646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C +647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S +648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C +649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S +650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S +651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S +652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S +653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S +654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q +655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q +656,0,2,"Hickman, Mr. Leonard Mark",male,24,2,0,S.O.C. 14879,73.5,,S +657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S +658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q +659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S +660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C +661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S +662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C +663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S +664,0,3,"Coleff, Mr. Peju",male,36,0,0,349210,7.4958,,S +665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S +666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S +667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S +668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S +669,0,3,"Cook, Mr. Jacob",male,43,0,0,A/5 3536,8.05,,S +670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S +671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S +672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S +673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S +674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S +675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S +676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S +677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S +678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S +679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S +680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C +681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q +682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C +683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S +684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S +685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S +686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C +687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S +688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S +689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S +690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S +691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S +692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C +693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S +694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C +695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S +696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S +697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S +698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q +699,0,1,"Thayer, Mr. John Borland",male,49,1,1,17421,110.8833,C68,C +700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S +701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C +702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S +703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C +704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q +705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S +706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S +707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S +708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S +709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S +710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C +711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24,0,0,PC 17482,49.5042,C90,C +712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S +713,1,1,"Taylor, Mr. Elmer Zebley",male,48,1,0,19996,52,C126,S +714,0,3,"Larsson, Mr. August Viktor",male,29,0,0,7545,9.4833,,S +715,0,2,"Greenberg, Mr. Samuel",male,52,0,0,250647,13,,S +716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19,0,0,348124,7.65,F G73,S +717,1,1,"Endres, Miss. Caroline Louise",female,38,0,0,PC 17757,227.525,C45,C +718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27,0,0,34218,10.5,E101,S +719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q +720,0,3,"Johnson, Mr. Malkolm Joackim",male,33,0,0,347062,7.775,,S +721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6,0,1,248727,33,,S +722,0,3,"Jensen, Mr. Svend Lauritz",male,17,1,0,350048,7.0542,,S +723,0,2,"Gillespie, Mr. William Henry",male,34,0,0,12233,13,,S +724,0,2,"Hodges, Mr. Henry Price",male,50,0,0,250643,13,,S +725,1,1,"Chambers, Mr. Norman Campbell",male,27,1,0,113806,53.1,E8,S +726,0,3,"Oreskovic, Mr. Luka",male,20,0,0,315094,8.6625,,S +727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30,3,0,31027,21,,S +728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q +729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25,1,0,236853,26,,S +730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25,1,0,STON/O2. 3101271,7.925,,S +731,1,1,"Allen, Miss. Elisabeth Walton",female,29,0,0,24160,211.3375,B5,S +732,0,3,"Hassan, Mr. Houssein G N",male,11,0,0,2699,18.7875,,C +733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0,,S +734,0,2,"Berriman, Mr. William John",male,23,0,0,28425,13,,S +735,0,2,"Troupiansky, Mr. Moses Aaron",male,23,0,0,233639,13,,S +736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S +737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48,1,3,W./C. 6608,34.375,,S +738,1,1,"Lesurer, Mr. Gustave J",male,35,0,0,PC 17755,512.3292,B101,C +739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S +740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S +741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30,D45,S +742,0,1,"Cavendish, Mr. Tyrell William",male,36,1,0,19877,78.85,C46,S +743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21,2,2,PC 17608,262.375,B57 B59 B63 B66,C +744,0,3,"McNamee, Mr. Neal",male,24,1,0,376566,16.1,,S +745,1,3,"Stranden, Mr. Juho",male,31,0,0,STON/O 2. 3101288,7.925,,S +746,0,1,"Crosby, Capt. Edward Gifford",male,70,1,1,WE/P 5735,71,B22,S +747,0,3,"Abbott, Mr. Rossmore Edward",male,16,1,1,C.A. 2673,20.25,,S +748,1,2,"Sinkkonen, Miss. Anna",female,30,0,0,250648,13,,S +749,0,1,"Marvin, Mr. Daniel Warner",male,19,1,0,113773,53.1,D30,S +750,0,3,"Connaghton, Mr. Michael",male,31,0,0,335097,7.75,,Q +751,1,2,"Wells, Miss. Joan",female,4,1,1,29103,23,,S +752,1,3,"Moor, Master. Meier",male,6,0,1,392096,12.475,E121,S +753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33,0,0,345780,9.5,,S +754,0,3,"Jonkoff, Mr. Lalio",male,23,0,0,349204,7.8958,,S +755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48,1,2,220845,65,,S +756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S +757,0,3,"Carlsson, Mr. August Sigfrid",male,28,0,0,350042,7.7958,,S +758,0,2,"Bailey, Mr. Percy Andrew",male,18,0,0,29108,11.5,,S +759,0,3,"Theobald, Mr. Thomas Leonard",male,34,0,0,363294,8.05,,S +760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33,0,0,110152,86.5,B77,S +761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S +762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S +763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C +764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S +765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S +766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S +767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C +768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q +769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q +770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S +771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S +772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S +773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S +774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C +775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S +776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S +777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q +778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S +779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q +780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S +781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C +782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S +783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S +784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S +785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S +786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S +787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S +788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q +789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S +790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C +791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q +792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S +793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S +794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C +795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S +796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S +797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S +798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S +799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C +800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S +801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S +802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S +803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S +804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C +805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S +806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S +807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S +808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S +809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S +810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S +811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S +812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S +813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S +814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S +815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S +816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S +817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S +818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C +819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S +820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S +821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S +822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S +823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S +824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S +825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S +826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q +827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S +828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C +829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q +830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28, +831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C +832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S +833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C +834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S +835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S +836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C +837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S +838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S +839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S +840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C +841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S +842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S +843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C +844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C +845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S +846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S +847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S +848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C +849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S +850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C +851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S +852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S +853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C +854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S +855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S +856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S +857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S +858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S +859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C +860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C +861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S +862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S +863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S +864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S +865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S +866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S +867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C +868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S +869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S +870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S +871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S +872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S +873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S +874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S +875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C +876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C +877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S +878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S +879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S +880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C +881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S +882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S +883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S +884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S +885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S +886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q +887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S +888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S +889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S +890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C +891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q diff --git a/exercicios/para-casa/titanic_pt.ipynb b/exercicios/para-casa/titanic_pt.ipynb new file mode 100644 index 0000000..d2dce7b --- /dev/null +++ b/exercicios/para-casa/titanic_pt.ipynb @@ -0,0 +1,618 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
\n", + "

891 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + ".. ... ... ... \n", + "886 887 0 2 \n", + "887 888 1 1 \n", + "888 889 0 3 \n", + "889 890 1 1 \n", + "890 891 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + ".. ... ... ... ... \n", + "886 Montvila, Rev. Juozas male 27.0 0 \n", + "887 Graham, Miss. Margaret Edith female 19.0 0 \n", + "888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n", + "889 Behr, Mr. Karl Howell male 26.0 0 \n", + "890 Dooley, Mr. Patrick male 32.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + ".. ... ... ... ... ... \n", + "886 0 211536 13.0000 NaN S \n", + "887 0 112053 30.0000 B42 S \n", + "888 2 W./C. 6607 23.4500 NaN S \n", + "889 0 111369 30.0000 C148 C \n", + "890 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "df_pt = pd.read_csv(\"titanic.csv\")\n", + "df_pt " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n", + " 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n", + " dtype='object')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_pt.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassageiroSobreviveuClasseNomeSexoIdadeIrmão ou Esposa/Marido abordoPais e filhos abordoBilheteTarifaCabineEmbarcado
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
\n", + "

891 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " Passageiro Sobreviveu Classe \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + ".. ... ... ... \n", + "886 887 0 2 \n", + "887 888 1 1 \n", + "888 889 0 3 \n", + "889 890 1 1 \n", + "890 891 0 3 \n", + "\n", + " Nome Sexo Idade \\\n", + "0 Braund, Mr. Owen Harris male 22.0 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 \n", + "2 Heikkinen, Miss. Laina female 26.0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 \n", + "4 Allen, Mr. William Henry male 35.0 \n", + ".. ... ... ... \n", + "886 Montvila, Rev. Juozas male 27.0 \n", + "887 Graham, Miss. Margaret Edith female 19.0 \n", + "888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN \n", + "889 Behr, Mr. Karl Howell male 26.0 \n", + "890 Dooley, Mr. Patrick male 32.0 \n", + "\n", + " Irmão ou Esposa/Marido abordo Pais e filhos abordo Bilhete \\\n", + "0 1 0 A/5 21171 \n", + "1 1 0 PC 17599 \n", + "2 0 0 STON/O2. 3101282 \n", + "3 1 0 113803 \n", + "4 0 0 373450 \n", + ".. ... ... ... \n", + "886 0 0 211536 \n", + "887 0 0 112053 \n", + "888 1 2 W./C. 6607 \n", + "889 0 0 111369 \n", + "890 0 0 370376 \n", + "\n", + " Tarifa Cabine Embarcado \n", + "0 7.2500 NaN S \n", + "1 71.2833 C85 C \n", + "2 7.9250 NaN S \n", + "3 53.1000 C123 S \n", + "4 8.0500 NaN S \n", + ".. ... ... ... \n", + "886 13.0000 NaN S \n", + "887 30.0000 B42 S \n", + "888 23.4500 NaN S \n", + "889 30.0000 C148 C \n", + "890 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Mudando nome de Coluna\n", + "mapeamento_colunas = {\n", + " 'PassengerId' : 'Passageiro',\n", + " 'Survived' : 'Sobreviveu',\n", + " 'Pclass' : 'Classe',\n", + " 'Name' : 'Nome',\n", + " 'Sex' : 'Sexo',\n", + " 'Age':'Idade',\n", + " 'SibSp':'Irmão ou Esposa/Marido abordo',\n", + " 'Parch':' Pais e filhos abordo',\n", + " 'Ticket':'Bilhete',\n", + " 'Fare': 'Tarifa',\n", + " 'Cabin':'Cabine',\n", + " 'Embarked':'Embarcado'\n", + "}\n", + "\n", + "df_pt.rename(columns=mapeamento_colunas, inplace=True)\n", + "df_pt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "novo_arquivo = 'novo_titanic_pt.csv'\n", + "\n", + "df_pt.to_csv(novo_arquivo, index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/material/aula_s11.ipynb b/material/aula_s11.ipynb index 8193734..40ff220 100644 --- a/material/aula_s11.ipynb +++ b/material/aula_s11.ipynb @@ -9,6 +9,327 @@ "Pandas é uma biblioteca Python de análise e manipulação de dados que otimiza o trabalho com dados relacionais, tornando-se uma ferramenta essencial dentro da área de Ciências de Dados pois permite limpeza e tratamento de dados, análise exploratória de dados (EDA), suporte em atividades de Machine Learning, consultas e queries em bancos de dados relacionais, visualização de dados, webscraping, etc." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting pandas\n", + " Downloading pandas-2.1.1-cp311-cp311-win_amd64.whl (10.6 MB)\n", + " 0.0/10.6 MB ? eta -:--:--\n", + " 0.2/10.6 MB 4.1 MB/s eta 0:00:03\n", + " -- 0.5/10.6 MB 5.7 MB/s eta 0:00:02\n", + " -- 0.7/10.6 MB 5.8 MB/s eta 0:00:02\n", + " --- 0.8/10.6 MB 4.6 MB/s eta 0:00:03\n", + " --- 0.8/10.6 MB 4.5 MB/s eta 0:00:03\n", + " --- 0.8/10.6 MB 4.5 MB/s eta 0:00:03\n", + " --- 0.8/10.6 MB 4.5 MB/s eta 0:00:03\n", + " ----- 1.5/10.6 MB 4.1 MB/s eta 0:00:03\n", + " ------ 1.6/10.6 MB 4.0 MB/s eta 0:00:03\n", + " ------ 1.6/10.6 MB 4.0 MB/s eta 0:00:03\n", + " -------- 2.2/10.6 MB 4.6 MB/s eta 0:00:02\n", + " --------- 2.6/10.6 MB 4.9 MB/s eta 0:00:02\n", + " ----------- 3.0/10.6 MB 5.1 MB/s eta 0:00:02\n", + " ------------- 3.5/10.6 MB 5.3 MB/s eta 0:00:02\n", + " -------------- 3.9/10.6 MB 5.6 MB/s eta 0:00:02\n", + " ---------------- 4.3/10.6 MB 5.7 MB/s eta 0:00:02\n", + " ---------------- 4.5/10.6 MB 5.9 MB/s eta 0:00:02\n", + " ----------------- 4.7/10.6 MB 5.7 MB/s eta 0:00:02\n", + " ------------------- 5.1/10.6 MB 5.8 MB/s eta 0:00:01\n", + " -------------------- 5.6/10.6 MB 6.0 MB/s eta 0:00:01\n", + " ---------------------- 6.0/10.6 MB 6.1 MB/s eta 0:00:01\n", + " ------------------------ 6.5/10.6 MB 6.3 MB/s eta 0:00:01\n", + " -------------------------- 7.0/10.6 MB 6.4 MB/s eta 0:00:01\n", + " -------------------------- 7.0/10.6 MB 6.4 MB/s eta 0:00:01\n", + " -------------------------- 7.1/10.6 MB 6.0 MB/s eta 0:00:01\n", + " -------------------------- 7.1/10.6 MB 5.9 MB/s eta 0:00:01\n", + " --------------------------- 7.4/10.6 MB 6.0 MB/s eta 0:00:01\n", + " --------------------------- 7.4/10.6 MB 6.0 MB/s eta 0:00:01\n", + " ---------------------------- 7.6/10.6 MB 5.7 MB/s eta 0:00:01\n", + " ----------------------------- 7.8/10.6 MB 5.6 MB/s eta 0:00:01\n", + " ----------------------------- 7.8/10.6 MB 5.6 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " ----------------------------- 7.9/10.6 MB 5.4 MB/s eta 0:00:01\n", + " --------------------------------- 8.9/10.6 MB 5.0 MB/s eta 0:00:01\n", + " ---------------------------------- 9.1/10.6 MB 4.9 MB/s eta 0:00:01\n", + " ---------------------------------- 9.2/10.6 MB 4.9 MB/s eta 0:00:01\n", + " ---------------------------------- 9.3/10.6 MB 4.8 MB/s eta 0:00:01\n", + " ----------------------------------- 9.4/10.6 MB 4.8 MB/s eta 0:00:01\n", + " ------------------------------------ 9.6/10.6 MB 4.7 MB/s eta 0:00:01\n", + " ------------------------------------ 9.7/10.6 MB 4.7 MB/s eta 0:00:01\n", + " ------------------------------------ 9.8/10.6 MB 4.6 MB/s eta 0:00:01\n", + " ------------------------------------- 10.0/10.6 MB 4.6 MB/s eta 0:00:01\n", + " ------------------------------------- 10.0/10.6 MB 4.5 MB/s eta 0:00:01\n", + " -------------------------------------- 10.1/10.6 MB 4.5 MB/s eta 0:00:01\n", + " -------------------------------------- 10.2/10.6 MB 4.4 MB/s eta 0:00:01\n", + " -------------------------------------- 10.3/10.6 MB 4.3 MB/s eta 0:00:01\n", + " --------------------------------------- 10.5/10.6 MB 4.3 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.3 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " --------------------------------------- 10.6/10.6 MB 4.2 MB/s eta 0:00:01\n", + " ---------------------------------------- 10.6/10.6 MB 1.3 MB/s eta 0:00:00\n", + "Requirement already satisfied: numpy>=1.23.2 in c:\\users\\dani negrão\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (1.26.0)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\dani negrão\\appdata\\roaming\\python\\python311\\site-packages (from pandas) (2.8.2)\n", + "Collecting pytz>=2020.1 (from pandas)\n", + " Downloading pytz-2023.3.post1-py2.py3-none-any.whl (502 kB)\n", + " 0.0/502.5 kB ? eta -:--:--\n", + " ------- 92.2/502.5 kB 2.6 MB/s eta 0:00:01\n", + " -------------- 194.6/502.5 kB 2.4 MB/s eta 0:00:01\n", + " --------------------- 286.7/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------ 409.6/502.5 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 501.8/502.5 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------ 502.5/502.5 kB 188.6 kB/s eta 0:00:00\n", + "Collecting tzdata>=2022.1 (from pandas)\n", + " Downloading tzdata-2023.3-py2.py3-none-any.whl (341 kB)\n", + " 0.0/341.8 kB ? eta -:--:--\n", + " --------- 81.9/341.8 kB 1.5 MB/s eta 0:00:01\n", + " -------------------- 184.3/341.8 kB 2.2 MB/s eta 0:00:01\n", + " ----------------------------------- 317.4/341.8 kB 2.2 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------- 337.9/341.8 kB 2.3 MB/s eta 0:00:01\n", + " ------------------------------------ 341.8/341.8 kB 122.7 kB/s eta 0:00:00\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\dani negrão\\appdata\\roaming\\python\\python311\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + "Installing collected packages: pytz, tzdata, pandas\n", + "Successfully installed pandas-2.1.1 pytz-2023.3.post1 tzdata-2023.3\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n", + "[notice] To update, run: python.exe -m pip install --upgrade pip\n" + ] + } + ], + "source": [ + "%pip install pandas" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -26,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -63,7 +384,30 @@ "id": "2AqXNR4HyYPi", "outputId": "8d969379-0cb2-41eb-f281-87d8f26a075a" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 Patrícia\n", + "1 Camila\n", + "2 Gabi\n", + "3 Anna\n", + "4 Tamires\n", + "dtype: object\n" + ] + }, + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "lista = [\"Patrícia\", \"Camila\", \"Gabi\", \"Anna\", \"Tamires\"]\n", "\n", @@ -74,7 +418,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -82,7 +426,30 @@ "id": "MZ6CTY79ycKR", "outputId": "518d60e5-e35d-4e97-aea9-2c677c75766a" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "a Patrícia\n", + "b Camila\n", + "c Gabi\n", + "d Anna\n", + "e Tamires\n", + "dtype: object\n" + ] + }, + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "dicionario = {\"a\": \"Patrícia\", \"b\": \"Camila\", \"c\": \"Gabi\", \"d\": \"Anna\", \"e\": \"Tamires\"}\n", "\n", @@ -93,7 +460,49 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: numpy in c:\\users\\dani negrão\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.26.0)Note: you may need to restart the kernel to use updated packages.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n", + "[notice] To update, run: python.exe -m pip install --upgrade pip\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "%pip install numpy" + ] + }, + { + "cell_type": "code", + "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -101,7 +510,25 @@ "id": "x_I2XcYCycMU", "outputId": "7ea30b52-93a3-4787-b461-1f09448dc340" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22 15 18 17 24]\n" + ] + }, + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "array_numpy = np.random.randint(5, 25, size=5)\n", "print(array_numpy)\n", @@ -123,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -132,14 +559,33 @@ "id": "nrAyRyd32H8S", "outputId": "14540136-0b05-44e8-80d8-07f4803af26e" }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Dani Negrão\\AppData\\Local\\Temp\\ipykernel_14536\\3066844099.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " serie_do_dicionario[0]\n" + ] + }, + { + "data": { + "text/plain": [ + "'Patrícia'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "serie_do_dicionario[0]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -148,11 +594,280 @@ "id": "I91ASKbz2H-s", "outputId": "7e5f4fc8-19e0-481e-bfac-da9340dc87b3" }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'Anna'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "serie_do_dicionario[\"d\"]" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting matplotlibNote: you may need to restart the kernel to use updated packages.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n", + "[notice] To update, run: python.exe -m pip install --upgrade pip\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Downloading matplotlib-3.8.0-cp311-cp311-win_amd64.whl (7.6 MB)\n", + " 0.0/7.6 MB ? eta -:--:--\n", + " 0.0/7.6 MB 991.0 kB/s eta 0:00:08\n", + " 0.1/7.6 MB 1.8 MB/s eta 0:00:05\n", + " - 0.4/7.6 MB 3.2 MB/s eta 0:00:03\n", + " --- 0.7/7.6 MB 4.4 MB/s eta 0:00:02\n", + " --- 0.8/7.6 MB 4.3 MB/s eta 0:00:02\n", + " ------- 1.3/7.6 MB 5.3 MB/s eta 0:00:02\n", + " ------- 1.5/7.6 MB 5.4 MB/s eta 0:00:02\n", + " ------- 1.5/7.6 MB 5.4 MB/s eta 0:00:02\n", + " ------------ 2.4/7.6 MB 5.7 MB/s eta 0:00:01\n", + " -------------- 2.8/7.6 MB 6.2 MB/s eta 0:00:01\n", + " ---------------- 3.1/7.6 MB 6.2 MB/s eta 0:00:01\n", + " ------------------ 3.5/7.6 MB 6.3 MB/s eta 0:00:01\n", + " -------------------- 3.8/7.6 MB 6.4 MB/s eta 0:00:01\n", + " ---------------------- 4.3/7.6 MB 6.6 MB/s eta 0:00:01\n", + " ------------------------ 4.8/7.6 MB 6.9 MB/s eta 0:00:01\n", + " -------------------------- 5.1/7.6 MB 6.8 MB/s eta 0:00:01\n", + " ---------------------------- 5.5/7.6 MB 6.9 MB/s eta 0:00:01\n", + " ------------------------------- 6.0/7.6 MB 7.1 MB/s eta 0:00:01\n", + " -------------------------------- 6.2/7.6 MB 7.1 MB/s eta 0:00:01\n", + " -------------------------------- 6.2/7.6 MB 7.1 MB/s eta 0:00:01\n", + " --------------------------------- 6.4/7.6 MB 6.6 MB/s eta 0:00:01\n", + " ---------------------------------- 6.6/7.6 MB 6.4 MB/s eta 0:00:01\n", + " ----------------------------------- 6.8/7.6 MB 6.3 MB/s eta 0:00:01\n", + " ----------------------------------- 6.8/7.6 MB 6.3 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " ------------------------------------ 6.9/7.6 MB 5.9 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " --------------------------------------- 7.6/7.6 MB 4.5 MB/s eta 0:00:01\n", + " ---------------------------------------- 7.6/7.6 MB 2.3 MB/s eta 0:00:00\n", + "Collecting contourpy>=1.0.1 (from matplotlib)\n", + " Downloading contourpy-1.1.1-cp311-cp311-win_amd64.whl (480 kB)\n", + " 0.0/480.5 kB ? eta -:--:--\n", + " --------------- 194.6/480.5 kB 3.9 MB/s eta 0:00:01\n", + " ----------------------------- 368.6/480.5 kB 4.6 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------- 471.0/480.5 kB 4.2 MB/s eta 0:00:01\n", + " ------------------------------------ 480.5/480.5 kB 793.1 kB/s eta 0:00:00\n", + "Collecting cycler>=0.10 (from matplotlib)\n", + " Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)\n", + "Collecting fonttools>=4.22.0 (from matplotlib)\n", + " Downloading fonttools-4.43.1-cp311-cp311-win_amd64.whl (2.1 MB)\n", + " 0.0/2.1 MB ? eta -:--:--\n", + " -- 0.1/2.1 MB 3.5 MB/s eta 0:00:01\n", + " ----- 0.3/2.1 MB 3.4 MB/s eta 0:00:01\n", + " -------- 0.5/2.1 MB 4.0 MB/s eta 0:00:01\n", + " ----------- 0.6/2.1 MB 3.8 MB/s eta 0:00:01\n", + " -------------- 0.8/2.1 MB 3.7 MB/s eta 0:00:01\n", + " ------------------ 1.0/2.1 MB 3.9 MB/s eta 0:00:01\n", + " --------------------- 1.2/2.1 MB 3.9 MB/s eta 0:00:01\n", + " ------------------------ 1.3/2.1 MB 3.7 MB/s eta 0:00:01\n", + " --------------------------- 1.5/2.1 MB 3.8 MB/s eta 0:00:01\n", + " ------------------------------ 1.7/2.1 MB 3.8 MB/s eta 0:00:01\n", + " ---------------------------------- 1.9/2.1 MB 3.8 MB/s eta 0:00:01\n", + " -------------------------------------- 2.0/2.1 MB 3.7 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " --------------------------------------- 2.1/2.1 MB 3.8 MB/s eta 0:00:01\n", + " ---------------------------------------- 2.1/2.1 MB 1.5 MB/s eta 0:00:00\n", + "Collecting kiwisolver>=1.0.1 (from matplotlib)\n", + " Downloading kiwisolver-1.4.5-cp311-cp311-win_amd64.whl (56 kB)\n", + " 0.0/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " ------------------------------------ 51.2/56.1 kB ? eta -:--:--\n", + " --------------------------------------- 56.1/56.1 kB 43.8 kB/s eta 0:00:00\n", + "Requirement already satisfied: numpy<2,>=1.21 in c:\\users\\dani negrão\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.26.0)\n", + "Requirement already satisfied: packaging>=20.0 in c:\\users\\dani negrão\\appdata\\roaming\\python\\python311\\site-packages (from matplotlib) (23.2)\n", + "Collecting pillow>=6.2.0 (from matplotlib)\n", + " Downloading Pillow-10.0.1-cp311-cp311-win_amd64.whl (2.5 MB)\n", + " 0.0/2.5 MB ? eta -:--:--\n", + " --- 0.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------ 0.4/2.5 MB 4.0 MB/s eta 0:00:01\n", + " --------- 0.6/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------ 0.8/2.5 MB 4.2 MB/s eta 0:00:01\n", + " --------------- 1.0/2.5 MB 4.2 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ------------------ 1.2/2.5 MB 3.9 MB/s eta 0:00:01\n", + " ----------------------------------- 2.3/2.5 MB 1.4 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " --------------------------------------- 2.5/2.5 MB 1.5 MB/s eta 0:00:01\n", + " ---------------------------------------- 2.5/2.5 MB 1.1 MB/s eta 0:00:00\n", + "Collecting pyparsing>=2.3.1 (from matplotlib)\n", + " Downloading pyparsing-3.1.1-py3-none-any.whl (103 kB)\n", + " 0.0/103.1 kB ? eta -:--:--\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------- 102.4/103.1 kB 5.8 MB/s eta 0:00:01\n", + " ------------------------------------ 103.1/103.1 kB 205.1 kB/s eta 0:00:00\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\dani negrão\\appdata\\roaming\\python\\python311\\site-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\dani negrão\\appdata\\roaming\\python\\python311\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n", + "Installing collected packages: pyparsing, pillow, kiwisolver, fonttools, cycler, contourpy, matplotlib\n", + "Successfully installed contourpy-1.1.1 cycler-0.12.1 fonttools-4.43.1 kiwisolver-1.4.5 matplotlib-3.8.0 pillow-10.0.1 pyparsing-3.1.1\n" + ] + } + ], + "source": [ + "%pip install matplotlib" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -190,49 +905,683 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ - "import pandas as pd\n", + "#import pandas as pd\n", "\n", "df = pd.read_csv(\"titanic.csv\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
\n", + "

891 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + ".. ... ... ... \n", + "886 887 0 2 \n", + "887 888 1 1 \n", + "888 889 0 3 \n", + "889 890 1 1 \n", + "890 891 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + ".. ... ... ... ... \n", + "886 Montvila, Rev. Juozas male 27.0 0 \n", + "887 Graham, Miss. Margaret Edith female 19.0 0 \n", + "888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n", + "889 Behr, Mr. Karl Howell male 26.0 0 \n", + "890 Dooley, Mr. Patrick male 32.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + ".. ... ... ... ... ... \n", + "886 0 211536 13.0000 NaN S \n", + "887 0 112053 30.0000 B42 S \n", + "888 2 W./C. 6607 23.4500 NaN S \n", + "889 0 111369 30.0000 C148 C \n", + "890 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
5603Moran, Mr. JamesmaleNaN003308778.4583NaNQ
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
7803Palsson, Master. Gosta Leonardmale2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)female27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)female14.01023773630.0708NaNC
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "5 6 0 3 \n", + "6 7 0 1 \n", + "7 8 0 3 \n", + "8 9 1 3 \n", + "9 10 1 2 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "5 Moran, Mr. James male NaN 0 \n", + "6 McCarthy, Mr. Timothy J male 54.0 0 \n", + "7 Palsson, Master. Gosta Leonard male 2.0 3 \n", + "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n", + "9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + "5 0 330877 8.4583 NaN Q \n", + "6 0 17463 51.8625 E46 S \n", + "7 1 349909 21.0750 NaN S \n", + "8 2 347742 11.1333 NaN S \n", + "9 0 237736 30.0708 NaN C " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#função head() \n", - "df.head()" + "df.head(10)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
88688702Montvila, Rev. Juozasmale27.00021153613.00NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.00B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.45NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.00C148C
89089103Dooley, Mr. Patrickmale32.0003703767.75NaNQ
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Name \\\n", + "886 887 0 2 Montvila, Rev. Juozas \n", + "887 888 1 1 Graham, Miss. Margaret Edith \n", + "888 889 0 3 Johnston, Miss. Catherine Helen \"Carrie\" \n", + "889 890 1 1 Behr, Mr. Karl Howell \n", + "890 891 0 3 Dooley, Mr. Patrick \n", + "\n", + " Sex Age SibSp Parch Ticket Fare Cabin Embarked \n", + "886 male 27.0 0 0 211536 13.00 NaN S \n", + "887 female 19.0 0 0 112053 30.00 B42 S \n", + "888 female NaN 1 2 W./C. 6607 23.45 NaN S \n", + "889 male 26.0 0 0 111369 30.00 C148 C \n", + "890 male 32.0 0 0 370376 7.75 NaN Q " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# função tail\n", - "df.tail()" + "df.tail(5)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(891, 12)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Qual o tamanho do dataframe?\n", "df.shape" @@ -240,9 +1589,151 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassAgeSibSpParchFare
count891.000000891.000000891.000000714.000000891.000000891.000000891.000000
mean446.0000000.3838382.30864229.6991180.5230080.38159432.204208
std257.3538420.4865920.83607114.5264971.1027430.80605749.693429
min1.0000000.0000001.0000000.4200000.0000000.0000000.000000
25%223.5000000.0000002.00000020.1250000.0000000.0000007.910400
50%446.0000000.0000003.00000028.0000000.0000000.00000014.454200
75%668.5000001.0000003.00000038.0000001.0000000.00000031.000000
max891.0000001.0000003.00000080.0000008.0000006.000000512.329200
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp \\\n", + "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", + "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", + "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", + "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", + "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", + "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", + "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", + "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", + "\n", + " Parch Fare \n", + "count 891.000000 891.000000 \n", + "mean 0.381594 32.204208 \n", + "std 0.806057 49.693429 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 7.910400 \n", + "50% 0.000000 14.454200 \n", + "75% 0.000000 31.000000 \n", + "max 6.000000 512.329200 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# resumo estatístico dos dados\n", "df.describe()" @@ -250,9 +1741,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived int64\n", + "Pclass int64\n", + "Name object\n", + "Sex object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Quais os tipos dos dados?\n", "df.dtypes" @@ -260,9 +1774,250 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
055801Robbins, Mr. VictormaleNaN00PC 17757227.5250NaNC
128413Dorking, Mr. Edward Arthurmale19.000A/5. 104828.0500NaNS
244002Kvillner, Mr. Johan Henrik Johannessonmale31.000C.A. 1872310.5000NaNS
387903Laleff, Mr. KristomaleNaN003492177.8958NaNS
439411Newell, Miss. Marjoriefemale23.01035273113.2750D36C
.......................................
24582812Mallet, Master. Andremale1.002S.C./PARIS 207937.0042NaNC
24639603Johansson, Mr. Erikmale22.0003500527.7958NaNS
24778803Rice, Master. George Hughmale8.04138265229.1250NaNQ
24830711Fleming, Miss. MargaretfemaleNaN0017421110.8833NaNC
24941203Hart, Mr. HenrymaleNaN003941406.8583NaNQ
\n", + "

250 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Name \\\n", + "0 558 0 1 Robbins, Mr. Victor \n", + "1 284 1 3 Dorking, Mr. Edward Arthur \n", + "2 440 0 2 Kvillner, Mr. Johan Henrik Johannesson \n", + "3 879 0 3 Laleff, Mr. Kristo \n", + "4 394 1 1 Newell, Miss. Marjorie \n", + ".. ... ... ... ... \n", + "245 828 1 2 Mallet, Master. Andre \n", + "246 396 0 3 Johansson, Mr. Erik \n", + "247 788 0 3 Rice, Master. George Hugh \n", + "248 307 1 1 Fleming, Miss. Margaret \n", + "249 412 0 3 Hart, Mr. Henry \n", + "\n", + " Sex Age SibSp Parch Ticket Fare Cabin Embarked \n", + "0 male NaN 0 0 PC 17757 227.5250 NaN C \n", + "1 male 19.0 0 0 A/5. 10482 8.0500 NaN S \n", + "2 male 31.0 0 0 C.A. 18723 10.5000 NaN S \n", + "3 male NaN 0 0 349217 7.8958 NaN S \n", + "4 female 23.0 1 0 35273 113.2750 D36 C \n", + ".. ... ... ... ... ... ... ... ... \n", + "245 male 1.0 0 2 S.C./PARIS 2079 37.0042 NaN C \n", + "246 male 22.0 0 0 350052 7.7958 NaN S \n", + "247 male 8.0 4 1 382652 29.1250 NaN Q \n", + "248 female NaN 0 0 17421 110.8833 NaN C \n", + "249 male NaN 0 0 394140 6.8583 NaN Q \n", + "\n", + "[250 rows x 12 columns]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Caso queiremos reduzir o número de amostras, podemos usar a função sample\n", "df_menor = df.sample(250)\n", @@ -275,29 +2030,472 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
5603Moran, Mr. JamesmaleNaN003308778.4583NaNQ
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
7803Palsson, Master. Gosta Leonardmale2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)female27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)female14.01023773630.0708NaNC
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "5 6 0 3 \n", + "6 7 0 1 \n", + "7 8 0 3 \n", + "8 9 1 3 \n", + "9 10 1 2 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "5 Moran, Mr. James male NaN 0 \n", + "6 McCarthy, Mr. Timothy J male 54.0 0 \n", + "7 Palsson, Master. Gosta Leonard male 2.0 3 \n", + "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n", + "9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + "5 0 330877 8.4583 NaN Q \n", + "6 0 17463 51.8625 E46 S \n", + "7 1 349909 21.0750 NaN S \n", + "8 2 347742 11.1333 NaN S \n", + "9 0 237736 30.0708 NaN C " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Slicing: obter apenas uma parte do dataset\n", - "df[:5]" + "df[:10]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
5603Moran, Mr. JamesmaleNaN003308778.4583NaNQ
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
7803Palsson, Master. Gosta Leonardmale2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)female27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)female14.01023773630.0708NaNC
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "5 6 0 3 \n", + "6 7 0 1 \n", + "7 8 0 3 \n", + "8 9 1 3 \n", + "9 10 1 2 \n", + "\n", + " Name Sex Age SibSp \\\n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "5 Moran, Mr. James male NaN 0 \n", + "6 McCarthy, Mr. Timothy J male 54.0 0 \n", + "7 Palsson, Master. Gosta Leonard male 2.0 3 \n", + "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n", + "9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + "5 0 330877 8.4583 NaN Q \n", + "6 0 17463 51.8625 E46 S \n", + "7 1 349909 21.0750 NaN S \n", + "8 2 347742 11.1333 NaN S \n", + "9 0 237736 30.0708 NaN C " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "mini_df = df[:10]\n", + "mini_df = df[2:10]\n", "mini_df" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n", + " 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n", + " dtype='object')" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Como obter as colunas do dataframe:\n", "df.columns" @@ -324,9 +2522,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Valores nulos por coluna do dataframe:\n", + "PassengerId 0\n", + "Survived 0\n", + "Pclass 0\n", + "Name 0\n", + "Sex 0\n", + "Age 177\n", + "SibSp 0\n", + "Parch 0\n", + "Ticket 0\n", + "Fare 0\n", + "Cabin 687\n", + "Embarked 2\n", + "dtype: int64\n" + ] + } + ], "source": [ "# Checar valores nulos no dataset\n", "print(\"Valores nulos por coluna do dataframe:\")\n", @@ -335,9 +2554,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(712, 12)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Remove entradas (linhas) contendo valores nulos em colunas específicas\n", "df = df.dropna(subset=['Age', 'Embarked'])\n", @@ -346,21 +2576,277 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Dani Negrão\\AppData\\Local\\Temp\\ipykernel_14536\\3221542120.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['Sex'] = df['Sex'].replace({'M': 'Masculino', 'F': 'Feminino'})\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen HarrisMasculino22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...Feminino38.010PC 1759971.2833C85C
2313Heikkinen, Miss. LainaFeminino26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)Feminino35.01011380353.1000C123S
4503Allen, Mr. William HenryMasculino35.0003734508.0500NaNS
6701McCarthy, Mr. Timothy JMasculino54.0001746351.8625E46S
7803Palsson, Master. Gosta LeonardMasculino2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)Feminino27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)Feminino14.01023773630.0708NaNC
101113Sandstrom, Miss. Marguerite RutFeminino4.011PP 954916.7000G6S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "6 7 0 1 \n", + "7 8 0 3 \n", + "8 9 1 3 \n", + "9 10 1 2 \n", + "10 11 1 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris Masculino 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... Feminino 38.0 1 \n", + "2 Heikkinen, Miss. Laina Feminino 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) Feminino 35.0 1 \n", + "4 Allen, Mr. William Henry Masculino 35.0 0 \n", + "6 McCarthy, Mr. Timothy J Masculino 54.0 0 \n", + "7 Palsson, Master. Gosta Leonard Masculino 2.0 3 \n", + "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) Feminino 27.0 0 \n", + "9 Nasser, Mrs. Nicholas (Adele Achem) Feminino 14.0 1 \n", + "10 Sandstrom, Miss. Marguerite Rut Feminino 4.0 1 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + "6 0 17463 51.8625 E46 S \n", + "7 1 349909 21.0750 NaN S \n", + "8 2 347742 11.1333 NaN S \n", + "9 0 237736 30.0708 NaN C \n", + "10 1 PP 9549 16.7000 G6 S " + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Vamos substituir os valores contidos na coluna 'Sex' por 'F' e 'M'\n", - "df['Sex'] = df['Sex'].replace({'male': 'M', 'female': 'F'})\n", + "df['Sex'] = df['Sex'].replace({'M': 'Masculino', 'F': 'Feminino'})\n", "\n", "df.head(10) # alterando o número de entradas no retorno da função" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(712, 12)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Removendo entradas duplicadas\n", "df = df.drop_duplicates()\n", @@ -384,9 +2870,263 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen HarrisMasculino0.27117410A/5 211710.014151NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...Feminino0.47222910PC 175990.139136C85C
2313Heikkinen, Miss. LainaFeminino0.32143800STON/O2. 31012820.015469NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)Feminino0.434531101138030.103644C123S
4503Allen, Mr. William HenryMasculino0.434531003734500.015713NaNS
.......................................
88588603Rice, Mrs. William (Margaret Norton)Feminino0.484795053826520.056848NaNQ
88688702Montvila, Rev. JuozasMasculino0.334004002115360.025374NaNS
88788811Graham, Miss. Margaret EdithFeminino0.233476001120530.058556B42S
88989011Behr, Mr. Karl HowellMasculino0.321438001113690.058556C148C
89089103Dooley, Mr. PatrickMasculino0.396833003703760.015127NaNQ
\n", + "

712 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + ".. ... ... ... \n", + "885 886 0 3 \n", + "886 887 0 2 \n", + "887 888 1 1 \n", + "889 890 1 1 \n", + "890 891 0 3 \n", + "\n", + " Name Sex Age \\\n", + "0 Braund, Mr. Owen Harris Masculino 0.271174 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... Feminino 0.472229 \n", + "2 Heikkinen, Miss. Laina Feminino 0.321438 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) Feminino 0.434531 \n", + "4 Allen, Mr. William Henry Masculino 0.434531 \n", + ".. ... ... ... \n", + "885 Rice, Mrs. William (Margaret Norton) Feminino 0.484795 \n", + "886 Montvila, Rev. Juozas Masculino 0.334004 \n", + "887 Graham, Miss. Margaret Edith Feminino 0.233476 \n", + "889 Behr, Mr. Karl Howell Masculino 0.321438 \n", + "890 Dooley, Mr. Patrick Masculino 0.396833 \n", + "\n", + " SibSp Parch Ticket Fare Cabin Embarked \n", + "0 1 0 A/5 21171 0.014151 NaN S \n", + "1 1 0 PC 17599 0.139136 C85 C \n", + "2 0 0 STON/O2. 3101282 0.015469 NaN S \n", + "3 1 0 113803 0.103644 C123 S \n", + "4 0 0 373450 0.015713 NaN S \n", + ".. ... ... ... ... ... ... \n", + "885 0 5 382652 0.056848 NaN Q \n", + "886 0 0 211536 0.025374 NaN S \n", + "887 0 0 112053 0.058556 B42 S \n", + "889 0 0 111369 0.058556 C148 C \n", + "890 0 0 370376 0.015127 NaN Q \n", + "\n", + "[712 rows x 12 columns]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Normalização de colunas numéricas \n", "\n", @@ -402,7 +3142,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -432,17 +3172,1558 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
\n", + "

891 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + ".. ... ... ... \n", + "886 887 0 2 \n", + "887 888 1 1 \n", + "888 889 0 3 \n", + "889 890 1 1 \n", + "890 891 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + ".. ... ... ... ... \n", + "886 Montvila, Rev. Juozas male 27.0 0 \n", + "887 Graham, Miss. Margaret Edith female 19.0 0 \n", + "888 Johnston, Miss. Catherine Helen \"Carrie\" female NaN 1 \n", + "889 Behr, Mr. Karl Howell male 26.0 0 \n", + "890 Dooley, Mr. Patrick male 32.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + ".. ... ... ... ... ... \n", + "886 0 211536 13.0000 NaN S \n", + "887 0 112053 30.0000 B42 S \n", + "888 2 W./C. 6607 23.4500 NaN S \n", + "889 0 111369 30.0000 C148 C \n", + "890 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_exercicio = pd.read_csv('titanic.csv')\n", + "df_exercicio" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
5603Moran, Mr. JamesmaleNaN003308778.4583NaNQ
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
7803Palsson, Master. Gosta Leonardmale2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)female27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)female14.01023773630.0708NaNC
101113Sandstrom, Miss. Marguerite Rutfemale4.011PP 954916.7000G6S
111211Bonnell, Miss. Elizabethfemale58.00011378326.5500C103S
121303Saundercock, Mr. William Henrymale20.000A/5. 21518.0500NaNS
131403Andersson, Mr. Anders Johanmale39.01534708231.2750NaNS
141503Vestrom, Miss. Hulda Amanda Adolfinafemale14.0003504067.8542NaNS
151612Hewlett, Mrs. (Mary D Kingcome)female55.00024870616.0000NaNS
161703Rice, Master. Eugenemale2.04138265229.1250NaNQ
171812Williams, Mr. Charles EugenemaleNaN0024437313.0000NaNS
181903Vander Planke, Mrs. Julius (Emelia Maria Vande...female31.01034576318.0000NaNS
192013Masselmani, Mrs. FatimafemaleNaN0026497.2250NaNC
202102Fynney, Mr. Joseph Jmale35.00023986526.0000NaNS
212212Beesley, Mr. Lawrencemale34.00024869813.0000D56S
222313McGowan, Miss. Anna \"Annie\"female15.0003309238.0292NaNQ
232411Sloper, Mr. William Thompsonmale28.00011378835.5000A6S
242503Palsson, Miss. Torborg Danirafemale8.03134990921.0750NaNS
252613Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...female38.01534707731.3875NaNS
262703Emir, Mr. Farred ChehabmaleNaN0026317.2250NaNC
272801Fortune, Mr. Charles Alexandermale19.03219950263.0000C23 C25 C27S
282913O'Dwyer, Miss. Ellen \"Nellie\"femaleNaN003309597.8792NaNQ
293003Todoroff, Mr. LaliomaleNaN003492167.8958NaNS
303101Uruchurtu, Don. Manuel Emale40.000PC 1760127.7208NaNC
313211Spencer, Mrs. William Augustus (Marie Eugenie)femaleNaN10PC 17569146.5208B78C
323313Glynn, Miss. Mary AgathafemaleNaN003356777.7500NaNQ
333402Wheadon, Mr. Edward Hmale66.000C.A. 2457910.5000NaNS
343501Meyer, Mr. Edgar Josephmale28.010PC 1760482.1708NaNC
353601Holverson, Mr. Alexander Oskarmale42.01011378952.0000NaNS
363713Mamee, Mr. HannamaleNaN0026777.2292NaNC
373803Cann, Mr. Ernest Charlesmale21.000A./5. 21528.0500NaNS
383903Vander Planke, Miss. Augusta Mariafemale18.02034576418.0000NaNS
394013Nicola-Yarred, Miss. Jamilafemale14.010265111.2417NaNC
404103Ahlin, Mrs. Johan (Johanna Persdotter Larsson)female40.01075469.4750NaNS
414202Turpin, Mrs. William John Robert (Dorothy Ann ...female27.0101166821.0000NaNS
424303Kraeff, Mr. TheodormaleNaN003492537.8958NaNC
434412Laroche, Miss. Simonne Marie Anne Andreefemale3.012SC/Paris 212341.5792NaNC
444513Devaney, Miss. Margaret Deliafemale19.0003309587.8792NaNQ
454603Rogers, Mr. William JohnmaleNaN00S.C./A.4. 235678.0500NaNS
464703Lennon, Mr. DenismaleNaN1037037115.5000NaNQ
474813O'Driscoll, Miss. BridgetfemaleNaN00143117.7500NaNQ
484903Samaan, Mr. YoussefmaleNaN20266221.6792NaNC
495003Arnold-Franchi, Mrs. Josef (Josefine Franchi)female18.01034923717.8000NaNS
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0 3 \n", + "1 2 1 1 \n", + "2 3 1 3 \n", + "3 4 1 1 \n", + "4 5 0 3 \n", + "5 6 0 3 \n", + "6 7 0 1 \n", + "7 8 0 3 \n", + "8 9 1 3 \n", + "9 10 1 2 \n", + "10 11 1 3 \n", + "11 12 1 1 \n", + "12 13 0 3 \n", + "13 14 0 3 \n", + "14 15 0 3 \n", + "15 16 1 2 \n", + "16 17 0 3 \n", + "17 18 1 2 \n", + "18 19 0 3 \n", + "19 20 1 3 \n", + "20 21 0 2 \n", + "21 22 1 2 \n", + "22 23 1 3 \n", + "23 24 1 1 \n", + "24 25 0 3 \n", + "25 26 1 3 \n", + "26 27 0 3 \n", + "27 28 0 1 \n", + "28 29 1 3 \n", + "29 30 0 3 \n", + "30 31 0 1 \n", + "31 32 1 1 \n", + "32 33 1 3 \n", + "33 34 0 2 \n", + "34 35 0 1 \n", + "35 36 0 1 \n", + "36 37 1 3 \n", + "37 38 0 3 \n", + "38 39 0 3 \n", + "39 40 1 3 \n", + "40 41 0 3 \n", + "41 42 0 2 \n", + "42 43 0 3 \n", + "43 44 1 2 \n", + "44 45 1 3 \n", + "45 46 0 3 \n", + "46 47 0 3 \n", + "47 48 1 3 \n", + "48 49 0 3 \n", + "49 50 0 3 \n", + "\n", + " Name Sex Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "5 Moran, Mr. James male NaN 0 \n", + "6 McCarthy, Mr. Timothy J male 54.0 0 \n", + "7 Palsson, Master. Gosta Leonard male 2.0 3 \n", + "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n", + "9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n", + "10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n", + "11 Bonnell, Miss. Elizabeth female 58.0 0 \n", + "12 Saundercock, Mr. William Henry male 20.0 0 \n", + "13 Andersson, Mr. Anders Johan male 39.0 1 \n", + "14 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 \n", + "15 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 \n", + "16 Rice, Master. Eugene male 2.0 4 \n", + "17 Williams, Mr. Charles Eugene male NaN 0 \n", + "18 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 \n", + "19 Masselmani, Mrs. Fatima female NaN 0 \n", + "20 Fynney, Mr. Joseph J male 35.0 0 \n", + "21 Beesley, Mr. Lawrence male 34.0 0 \n", + "22 McGowan, Miss. Anna \"Annie\" female 15.0 0 \n", + "23 Sloper, Mr. William Thompson male 28.0 0 \n", + "24 Palsson, Miss. Torborg Danira female 8.0 3 \n", + "25 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia... female 38.0 1 \n", + "26 Emir, Mr. Farred Chehab male NaN 0 \n", + "27 Fortune, Mr. Charles Alexander male 19.0 3 \n", + "28 O'Dwyer, Miss. Ellen \"Nellie\" female NaN 0 \n", + "29 Todoroff, Mr. Lalio male NaN 0 \n", + "30 Uruchurtu, Don. Manuel E male 40.0 0 \n", + "31 Spencer, Mrs. William Augustus (Marie Eugenie) female NaN 1 \n", + "32 Glynn, Miss. Mary Agatha female NaN 0 \n", + "33 Wheadon, Mr. Edward H male 66.0 0 \n", + "34 Meyer, Mr. Edgar Joseph male 28.0 1 \n", + "35 Holverson, Mr. Alexander Oskar male 42.0 1 \n", + "36 Mamee, Mr. Hanna male NaN 0 \n", + "37 Cann, Mr. Ernest Charles male 21.0 0 \n", + "38 Vander Planke, Miss. Augusta Maria female 18.0 2 \n", + "39 Nicola-Yarred, Miss. Jamila female 14.0 1 \n", + "40 Ahlin, Mrs. Johan (Johanna Persdotter Larsson) female 40.0 1 \n", + "41 Turpin, Mrs. William John Robert (Dorothy Ann ... female 27.0 1 \n", + "42 Kraeff, Mr. Theodor male NaN 0 \n", + "43 Laroche, Miss. Simonne Marie Anne Andree female 3.0 1 \n", + "44 Devaney, Miss. Margaret Delia female 19.0 0 \n", + "45 Rogers, Mr. William John male NaN 0 \n", + "46 Lennon, Mr. Denis male NaN 1 \n", + "47 O'Driscoll, Miss. Bridget female NaN 0 \n", + "48 Samaan, Mr. Youssef male NaN 2 \n", + "49 Arnold-Franchi, Mrs. Josef (Josefine Franchi) female 18.0 1 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 NaN S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 NaN S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 NaN S \n", + "5 0 330877 8.4583 NaN Q \n", + "6 0 17463 51.8625 E46 S \n", + "7 1 349909 21.0750 NaN S \n", + "8 2 347742 11.1333 NaN S \n", + "9 0 237736 30.0708 NaN C \n", + "10 1 PP 9549 16.7000 G6 S \n", + "11 0 113783 26.5500 C103 S \n", + "12 0 A/5. 2151 8.0500 NaN S \n", + "13 5 347082 31.2750 NaN S \n", + "14 0 350406 7.8542 NaN S \n", + "15 0 248706 16.0000 NaN S \n", + "16 1 382652 29.1250 NaN Q \n", + "17 0 244373 13.0000 NaN S \n", + "18 0 345763 18.0000 NaN S \n", + "19 0 2649 7.2250 NaN C \n", + "20 0 239865 26.0000 NaN S \n", + "21 0 248698 13.0000 D56 S \n", + "22 0 330923 8.0292 NaN Q \n", + "23 0 113788 35.5000 A6 S \n", + "24 1 349909 21.0750 NaN S \n", + "25 5 347077 31.3875 NaN S \n", + "26 0 2631 7.2250 NaN C \n", + "27 2 19950 263.0000 C23 C25 C27 S \n", + "28 0 330959 7.8792 NaN Q \n", + "29 0 349216 7.8958 NaN S \n", + "30 0 PC 17601 27.7208 NaN C \n", + "31 0 PC 17569 146.5208 B78 C \n", + "32 0 335677 7.7500 NaN Q \n", + "33 0 C.A. 24579 10.5000 NaN S \n", + "34 0 PC 17604 82.1708 NaN C \n", + "35 0 113789 52.0000 NaN S \n", + "36 0 2677 7.2292 NaN C \n", + "37 0 A./5. 2152 8.0500 NaN S \n", + "38 0 345764 18.0000 NaN S \n", + "39 0 2651 11.2417 NaN C \n", + "40 0 7546 9.4750 NaN S \n", + "41 0 11668 21.0000 NaN S \n", + "42 0 349253 7.8958 NaN C \n", + "43 2 SC/Paris 2123 41.5792 NaN C \n", + "44 0 330958 7.8792 NaN Q \n", + "45 0 S.C./A.4. 23567 8.0500 NaN S \n", + "46 0 370371 15.5000 NaN Q \n", + "47 0 14311 7.7500 NaN Q \n", + "48 0 2662 21.6792 NaN C \n", + "49 0 349237 17.8000 NaN S " + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Slicing: obter apenas uma parte do dataset\n", + "df_exercicio[:50]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Valores nulos por coluna do dataframe:\n", + "PassengerId 0\n", + "Survived 0\n", + "Pclass 0\n", + "Name 0\n", + "Sex 0\n", + "Age 177\n", + "SibSp 0\n", + "Parch 0\n", + "Ticket 0\n", + "Fare 0\n", + "Cabin 687\n", + "Embarked 2\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(\"Valores nulos por coluna do dataframe:\")\n", + "print(df_exercicio.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(204, 12)" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_exercicio = df_exercicio.dropna(subset=['Cabin'])\n", + "df_exercicio.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Dani Negrão\\AppData\\Local\\Temp\\ipykernel_14536\\2682674111.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_exercicio['Age'] = df_exercicio['Age'].fillna(10)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
101113Sandstrom, Miss. Marguerite Rutfemale4.011PP 954916.7000G6S
111211Bonnell, Miss. Elizabethfemale58.00011378326.5500C103S
.......................................
87187211Beckwith, Mrs. Richard Leonard (Sallie Monypeny)female47.0111175152.5542D35S
87287301Carlsson, Mr. Frans Olofmale33.0006955.0000B51 B53 B55S
87988011Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)female56.0011176783.1583C50C
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
\n", + "

204 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "1 2 1 1 \n", + "3 4 1 1 \n", + "6 7 0 1 \n", + "10 11 1 3 \n", + "11 12 1 1 \n", + ".. ... ... ... \n", + "871 872 1 1 \n", + "872 873 0 1 \n", + "879 880 1 1 \n", + "887 888 1 1 \n", + "889 890 1 1 \n", + "\n", + " Name Sex Age SibSp \\\n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "6 McCarthy, Mr. Timothy J male 54.0 0 \n", + "10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n", + "11 Bonnell, Miss. Elizabeth female 58.0 0 \n", + ".. ... ... ... ... \n", + "871 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 \n", + "872 Carlsson, Mr. Frans Olof male 33.0 0 \n", + "879 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 \n", + "887 Graham, Miss. Margaret Edith female 19.0 0 \n", + "889 Behr, Mr. Karl Howell male 26.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "1 0 PC 17599 71.2833 C85 C \n", + "3 0 113803 53.1000 C123 S \n", + "6 0 17463 51.8625 E46 S \n", + "10 1 PP 9549 16.7000 G6 S \n", + "11 0 113783 26.5500 C103 S \n", + ".. ... ... ... ... ... \n", + "871 1 11751 52.5542 D35 S \n", + "872 0 695 5.0000 B51 B53 B55 S \n", + "879 1 11767 83.1583 C50 C \n", + "887 0 112053 30.0000 B42 S \n", + "889 0 111369 30.0000 C148 C \n", + "\n", + "[204 rows x 12 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_exercicio['Age'] = df_exercicio['Age'].fillna(10)\n", + "df_exercicio\n" + ] } ], "metadata": { @@ -464,7 +4745,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.11.4" } }, "nbformat": 4,