/Pandas-Pandas-Pandas

Python Pandas Data Analysis for Gaming Company

Primary LanguageJupyter Notebook

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

Observable Trends Based On Data

  • The majority percentage is of male players with (84%) as compared to female players with(14%).
  • Overall,Female players and non-disclosed players spent more on average at 6% and 11% higher than their male.
  • Age demographic lies between 20-24 (44.8%) with secondary groups falling between 15-19 (18.60%) and 25-29 (13.4%)and has the highest average purchases per person are the 35 to 39 year old.
  • The top 5 spenders spent on average $3.45 per purchase with a total purchase value of $13.32. 5.Oathbreaker, Fiery Glass Crusader and Nirvana are the most profitable items and are also 3 of the top 4 most popular items.