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  1. Information about 1045 Pokemon (including varieties) until 8th Generation.

  2. 19 sty 2017 · The Pokemon dataset is a listing of all Pokemon species as of mid-2016, containing data about their type and statistics. Considering how diverse Pokemon are, I was interested in analyzing this datset to learn how the game is balanced and to potentially identify the best Pokemon, if there exists one.

  3. In this project, I analyze the data within the Pokemon Stats CSV using Pandas within Jupyter Notebook and determine what top 10 pokemon have the best total stats in each generation.

  4. Data on more than 800 Pokemon from all 7 Generations.

  5. github.com › micgonzalez › Data-Visualization-of-Pokemon-Data-with-Python-andGitHub -...

    I found a csv file that has stats on most of the pokemon. This work was sampled from a cool tutorial on seaborn's great visualizations ( https://elitedatascience.com/python-seaborn-tutorial#step-1 ). This covers a good summary of Seaborn’s strengths.

  6. 1 sty 2018 · Read CSV file and save as a variable. As you can see, from taking the first instance in the data frame, there are two indices to identify the Pokémon, one formed when the rows were entered in...

  7. The Pokemon dataset comprises information on 1072 Pokemon, including alternate forms, each defined by attributes such as name, type (primary and secondary), total stat points, and base stats like HP, attack, defense, special attack, special defense, and speed.

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