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pokemon

Exploring Pokemon Data

This exercise was to continue practicing the use of pandas to explore pokemond data. I still plan on working on this dataset by visualizing it graphically

Techniques used include:

  • Importing and Cleaning Data
  • Data Manipulation

Pokemon Dataset

Context This dataset contains information on all 802 Pokemon from all Seven Generations of Pokemon. The information contained in this dataset include Base Stats, Performance against Other Types, Height, Weight, Classification, Egg Steps, Experience Points, Abilities, etc. The information was scraped from http://serebii.net/

Content

  • name: The English name of the Pokemon
  • japanese_name: The Original Japanese name of the Pokemon
  • pokedex_number: The entry number of the Pokemon in the National Pokedex
  • percentage_male: The percentage of the species that are male. Blank if the Pokemon is genderless.
  • type1: The Primary Type of the Pokemon
  • type2: The Secondary Type of the Pokemon
  • classification: The Classification of the Pokemon as described by the Sun and Moon Pokedex
  • height_m: Height of the Pokemon in metres
  • weight_kg: The Weight of the Pokemon in kilograms
  • capture_rate: Capture Rate of the Pokemon
  • baseeggsteps: The number of steps required to hatch an egg of the Pokemon
  • abilities: A stringified list of abilities that the Pokemon is capable of having
  • experience_growth: The Experience Growth of the Pokemon
  • base_happiness: Base Happiness of the Pokemon
  • against_?: Eighteen features that denote the amount of damage taken against an attack of a particular type
  • hp: The Base HP of the Pokemon
  • attack: The Base Attack of the Pokemon
  • defense: The Base Defense of the Pokemon
  • sp_attack: The Base Special Attack of the Pokemon
  • sp_defense: The Base Special Defense of the Pokemon
  • speed: The Base Speed of the Pokemon
  • generation: The numbered generation which the Pokemon was first introduced
  • is_legendary: Denotes if the Pokemon is legendary.