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The goal of the project was to generate a report that breaks down the game's purchasing data into meaningful insights.

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pandas-challenge

Background

You've been assigned the task of analyzing the data for their most recent fantasy game 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. The final report includes each of the following:

Player Count

  • Total Number of Players

01

Purchasing Analysis (Total)

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

02

Gender Demographics

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

03

Purchasing Analysis (Gender)

  • The below each broken by gender
    • Purchase Count
    • Average Purchase Price
    • Total Purchase Value
    • Average Purchase Total per Person by Gender

04

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

05 06

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

07

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

08

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

09

Three Conclusions:

  1. The male players represented the majority and spent the most money on items.
  2. Age group 20-24 had the highest purchase count and spent the most money on items.
  3. The top spender's SN is Lisosia93. He/she spent $18.96 buying 5 items. The most popular and profitable item is "Final Critic" with total purchase count of 13 times and total revenue $59.99.

Disclaimer

The resources of this master branch are only for educational purposes. All reserved rights belong to UCSD Data Science and Visualization Boot Camp.

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The goal of the project was to generate a report that breaks down the game's purchasing data into meaningful insights.

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