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The purpose for this project is to analyse different elements in a game such as purchase count, item price, sex and age.

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pandas-challenge

Heroes of Pymoli Like many others in its genre, the game is free-to-play, but players are encouraged to purchase optional items that enhance their playing experience. As a first task, the company would like you to generate a report that breaks down the game's purchasing data into meaningful insights. Your final report should include each of 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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The purpose for this project is to analyse different elements in a game such as purchase count, item price, sex and age.

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