reprograma · louicosta · Oct 18, 2023
diff --git a/exercicios/para-casa/Anime Ranked - top_animes.csv b/exercicios/para-casa/Anime Ranked - top_animes.csv
@@ -0,0 +1,51 @@
+Rank,Score,Title,Date_Aired,Number_of_Episodes,Members,Media_Type
+1,9.10,Fullmetal Alchemist: Brotherhood,Apr 2009 - Jul 2010 ,64,"3,218,472",Series
+2,9.07,Steins;Gate,Apr 2011 - Sep 2011,24,"2,473,707",Series
+3,9.06,Bleach: Sennen Kessen-hen,Oct 2022 - Dec 2022 ,13,"474,138",Series
+4,9.06,Gintama°,Apr 2015 - Mar 2016,51,"605,113",Series
+5,9.05,Shingeki no Kyojin Season 3 Part 2,Apr 2019 - Jul 2019,10,"2,146,679",Series
+6,9.04,Gintama',Apr 2011 - Mar 2012 ,51,"534,105",Series
+7,9.04,Gintama: The Final,Jan 2021 - Jan 2021,1,"137,208",Movie
+8,9.04,Hunter x Hunter ,Oct 2011 - Sep 2014 ,148,"2,701,154",Series
+9,9.04,Kaguya-sama wa Kokurasetai: Ultra Romantic,Apr 2022 - Jun 2022 ,13,"851,445",Series
+10,9.03,Gintama': Enchousen,Oct 2012 - Mar 2013 ,13,"313,446",Series
+11,9.03,Shingeki no Kyojin: The Final Season - Kanketsu-hen,Mar 2023 - Now,2,"472,340",Special
+12,9.02,Ginga Eiyuu Densetsu,Jan 1988 - Mar 1997 ,110,"309,193",OVA
+13,8.99,Bleach: Sennen Kessen-hen - Ketsubetsu-tan,Jul 2023 -Now ,13,"178,482",Series
+14,8.99,Fruits Basket: The Final,Apr 2021 - Jun 2021 ,13,"443,882",Series
+15,8.98,Gintama.,Jan 2017 - Mar 2017 ,12,"302,232",Series
+16,8.94,Gintama,Apr 2006 - Mar 2010,201,"1,034,418",Series
+17,8.94,Koe no Katachi,Sep 2016 - Sep 2016 ,1,"2,228,957",Movie
+18,8.93,3-gatsu no Lion 2nd Season,Oct 2017 - Mar 2018 ,22,"388,358",Series
+19,8.93,Clannad: After Story,Oct 2008 - Mar 2009 ,24,"1,160,879",Series
+20,8.91,Code Geass: Hangyaku no Lelouch R2,Apr 2008 - Sep 2008,25,"1,720,715",Series
+21,8.91,Gintama Movie 2: Kanketsu-hen - Yorozuya yo Eien Nare,Jul 2013 - Jul 2013 ,1,"232,388",Movie
+22,8.89,Violet Evergarden Movie,Sep 2020 - Sep 2020,1,"564,225",Movie
+23,8.88,Owarimonogatari 2nd Season,Aug 2017 - Aug 2017,7,"385,248",Series
+24,8.88,Gintama.: Shirogane no Tamashii-hen - Kouhan-sen,Jul 2018 - Oct 2018,14,"189,172",Series
+25,8.87,Monster,Apr 2004 - Sep 2005,74,"1,041,081",Series
+26,8.84,Kimi no Na wa.,Aug 2016 - Aug 2016,1,"2,635,814",Movie
+27,8.84,Kaguya-sama wa Kokurasetai: First Kiss wa Owaranai,Dec 2022 - Dec 2022,1,"205,150",Movie
+28,8.83,Bocchi the Rock!,Oct 2022 - Dec 2022 ,12,"464,981",Series
+29,8.83,The First Slam Dunk,Dec 2022 - Dec 2022,1,"27,063",Movie
+30,8.82,Vinland Saga Season 2,Jan 2023 - Jun 2023 ,24,"495,454",Series
+31,8.82,Jujutsu Kaisen 2nd Season,Jul 2023 -Now ,23,"556,301",Series
+32,8.81,Gintama.: Shirogane no Tamashii-hen,Jan 2018 - Mar 2018 ,12,"203,540",Series
+33,8.81,Kingdom 3rd Season,Apr 2020 - Oct 2021 ,26,"93,645",Series
+34,8.80,Mob Psycho 100 II,Jan 2019 - Apr 2019 ,13,"1,458,089",Series
+35,8.80,Shingeki no Kyojin: The Final Season,Dec 2020 - Mar 2021 ,16,"1,882,760",Series
+36,8.79,Kimetsu no Yaiba: Yuukaku-hen,Dec 2021 - Feb 2022 ,11,"1,302,152",Series
+37,8.79,Kizumonogatari III: Reiketsu-hen,Jan 2017 - Jan 2017 ,1,"445,640",Movie
+38,8.79,"""Oshi no Ko""",Apr 2023 - Jun 2023,11,"645,856",Series
+39,8.78,Haikyuu!! Karasuno Koukou vs. Shiratorizawa Gakuen Koukou,Oct 2016 - Dec 2016 ,10,"1,157,497",Series
+40,8.78,Sen to Chihiro no Kamikakushi,Jul 2001-Jul 2001,1,"1,784,960",Movie
+41,8.77,Monogatari Series: Second Season,Jul 2013 - Dec 2013 ,26,"653,257",Series
+42,8.77,Shingeki no Kyojin: The Final Season Part 2,Jan 2022 - Apr 2022,12,"1,170,165",Series
+43,8.76,Hajime no Ippo,Oct 2000 - Mar 2002 ,75,"558,435",Series
+44,8.75,Cowboy Bebop,Apr 1998 - Apr 1999,26,"1,796,109",Series
+45,8.75,Kingdom 4th Season,Apr 2022 - Oct 2022,26,"55,833",Series
+46,8.74,Vinland Saga,Jul 2019 - Dec 2019 ,24,"1,403,669",Series
+47,8.73,Mushishi Zoku Shou 2nd Season,Oct 2014 - Dec 2014 ,10,"257,622",Series
+48,8.72,Shouwa Genroku Rakugo Shinjuu: Sukeroku Futatabi-hen,Jan 2017 - Mar 2017,12,"182,450",Series
+49,8.71,Mob Psycho 100 III,Oct 2022 - Dec 2022,12,"600,098",Series
+50,8.71,Rurouni Kenshin: Meiji Kenkaku Romantan - Tsuioku-hen,Feb 1999 - Sep 1999 ,4,"271,108",OVA
diff --git a/exercicios/para-casa/anime.csv b/exercicios/para-casa/anime.csv
@@ -0,0 +1,2 @@
+A,B
+Title,Number_of_Episodes
diff --git a/exercicios/para-casa/ativ_casa.ipynb b/exercicios/para-casa/ativ_casa.ipynb
@@ -0,0 +1,131 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Introdução\n",
+    "\n",
+    "Dataset criado com base de dados de rank de animes.\n",
+    "Possui dados que classifica títulos de animes com base em suas pontuações. Os títulos são organizados da maior pontuação (classificação 1) para a menor. Cada coluna possui informações sobre:\n",
+    "- Ranking\n",
+    "- Pontuação atribuída pelos usuários, com pontuações mais altas indicando maior popularidade e qualidade\n",
+    "- Título do anime\n",
+    "- Data que ficou no ar \n",
+    "- Número de episódios\n",
+    "- Pontuação atribuída pelos usuários, com pontuações mais altas indicando maior popularidade e qualidade. \n",
+    "\n",
+    "É um banco de dados útil para entusiastas de anime."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Função de processamento"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"Anime Ranked - top_animes.csv\")\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.dropna([\"'Number_of_Episodes'\"])\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "anime = \"Anime Ranked - top_animes.csv\"\n",
+    "\n",
+    "def export_csv(dataframe, anime):\n",
+    "    dataframe.to_csv(anime, index=False)\n",
+    "\n",
+    "anime2 = pd.DataFrame({'A': [\"Title\"], 'B': ['Number_of_Episodes']})\n",
+    "export_csv(anime2, 'anime.csv')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Insights\n",
+    "\n",
+    "- Qual a relação da duração do anime com a popularidade\n",
+    "- A data de lançamento influencia na popularidade"
+   ]
+  }
+ ],
+ "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
+}