GitHub / micgonzalez / Data-Visualization-of-Pokemon-Data-with-Python-and-Seaborn_side_project

Have you always wanted to make visuals of pokemon data? I found a csv file that has stats on most of the pokemon and I used python, seaborn and matplotlib to make some cool visualizations. 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. In practice, the “well-defined set of hard things” includes: Using default themes that are aesthetically pleasing, making attractive statistical plots, visualizing information from matrices and data frames. I have included the work in a jupyter notebook file and the csv file that has the pokemon data used for this side project.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/micgonzalez%2FData-Visualization-of-Pokemon-Data-with-Python-and-Seaborn_side_project

Topics: csv, data-frames, data-visualization, matplotlib, pandas, pokemon-data, python, seaborn

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