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Pokemon GO

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Pokemon GO

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Aabell@wpi.edu
Last edited Oct 25, 2024
Created on Oct 25, 2024

This visualization explores a Pokémon GO dataset, showing how a selected Pokémon's stats like base attack, defense, and stamina vary, along with its available moves. It uses a radar chart to display these stats, and includes a dropdown menu for selecting different Pokémon to update the display. The code parses CSV data using standard JavaScript and renders the structured information, such as charged and fast moves, directly into the container.

AI-generated description

The Pokemon GO Dataset, loaded and parsed as CSV.

This data set is a collection of information of Pokemon from the game Pokemon GO. This information includes a pokemon's "Base stats", the moves a pokemon can learn, and more. This information is useful for finding the "best" pokemon for specific aspects of the game. This data set also contains information about capturing a specific pokemon, it's chance of fleeing, their behavior, and special methods of finding a pokemon

Tasks for this dataset:

  1. I want to see how different pokemon's max strength (max_cp) correlates to other fields (base_capture_rate), etc.
  2. I want to see how many pokemon have special methods of finding them (i.e. found_egg, found_research etc.)
  3. I want to see the average max_cp across all pokemon
  4. I want to see how later pokemon ID's compare to earlier pokemon ID's max cp
  5. I want to see the distributions of pokemon's rarity