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Pandas was used to create dataframes in order to manipulate the data and analyze the csv file.

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ashbuen/Player-Demographic-Analysis

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pandas-challenge

The overall challenge was to analyze a file named "Heroes of Pymoli"

-Determine the total number of players.

-Then from there, use the total number of players and determine the general purchase data.

-Using the total number of players, determine the percentage each gender holds.

-Determine the purchase data specific to each gender.

-Obtain the age demographics and place them into bins.

-With the bins of age demographics, determine the purchase data per age group.

-Figure out which user made the most purchases/spent the most.

-Determine the popular item based on the amount of purchases made on it and the total purchase amount made.

-Finally, determine the item that is the most profitable.

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Pandas was used to create dataframes in order to manipulate the data and analyze the csv file.

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