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Heroes of Pymoli. Generated a report breaking down demographics on purchasing data in order to draw conclusions for a marketing strategy.

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Genearted a final report of of sales data for a video game. The final report includes the following: Player Count

Total Number of Players

Purchasing Analysis (Total)

Number of Unique Items Average Purchase Price Total Number of Purchases Total Revenue

Gender Demographics

Percentage and Count of Male Players Percentage and Count of Female Players Percentage and Count of Other / Non-Disclosed

Purchasing Analysis (Gender)

The below each broken by gender

Purchase Count Average Purchase Price Total Purchase Value Average Purchase Total per Person by Gender

Age Demographics

The below each broken into bins of 4 years (i.e. <10, 10-14, 15-19, etc.)

Purchase Count Average Purchase Price Total Purchase Value Average Purchase Total per Person by Age Group

Top Spenders

Identify the the top 5 spenders in the game by total purchase value, then list (in a table):

SN Purchase Count Average Purchase Price Total Purchase Value

Most Popular Items

Identify the 5 most popular items by purchase count, then list (in a table):

Item ID Item Name Purchase Count Item Price Total Purchase Value

Most Profitable Items

Identify the 5 most profitable items by total purchase value, then list (in a table):

Item ID Item Name Purchase Count Item Price Total Purchase Value

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Heroes of Pymoli. Generated a report breaking down demographics on purchasing data in order to draw conclusions for a marketing strategy.

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