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Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
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danawoodruff/Pandas
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Purchase Analysis of purchasers broken down by gender, age, and user ID.
Created on a Windows machine using Jupyter Notebook (https://github.com/danawoodruff/pandas-challenge.git) and the Pandas library.
The dataframes do not load visually appealing in GitHub but do load correctly in Jupyter Notebook.
-Most players make a single purchase. 23% of the players made multiple purchases.
-Males dominate this game's user base at 84%.
-Age group 20-24 dominate this game's user base at 47%.
-Top purchasers do not exceed 5 purchases with no trend for avg purchase price.
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Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
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