video-game-sales

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danpoynor / data-analysis-of-video-game-sales-2000-2015

This analysis reviews sales for the top 100 video games from the years 2000-2015 to gather insights. Within the notebook I use Python’s Pandas, Matplotlib, and Seaborn libraries to interact with the data and create graphs.

pandas-dataframe jupyter-notebook python3 data-analysis matplotlib video-game-sales seaborn-plots

Updated Oct 17, 2022
Jupyter Notebook

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video-game-sales

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danpoynor / data-analysis-of-video-game-sales-2000-2015

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