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CSV Dataset - Pokemon GO - Alexander Bell

✓ Published1🌍 Public
Aabell@wpi.edu
Last edited Sep 18, 2024
Created on Sep 1, 2024

This example displays raw JSON from the first row of a Pokemon GO CSV dataset, parsed into numerical values within the index.js file using JavaScript’s unary plus operator. It renders the structured data in a preformatted HTML block via a container’s innerHTML, with a fixed font size. The visualization highlights the dataset’s schema, including base stats and capture rates, without further graphical or chart-based encoding.

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
MIT Licensed

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