salomebot/salome_bot_hw4_pymoli

salome_bot_HW4_pymoli

Berkeley Data Analytics Homework 4 Heroes of Pymoli

Using Pandas Library and the Jupyter Notebook I have analyzed the data of a game Heroes of Pymoli. This game is free-to-play, but players are encouraged to purchase optional items that enhance their playing experience. I have generated a report that breaks down the game's purchasing data into meaningful insights containing 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), Purchase Count, Average Purchase Price, Total Purchase Value, Normalized Totals

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, Normalized Totals

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