Analysis of in-game purchases made by players in the video game "Heroes of Pymoli." Key Tools: Python (pandas), Jupyter Notebook, groupby, data cleaning/munging
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Updated
Apr 25, 2020 - Jupyter Notebook
Analysis of in-game purchases made by players in the video game "Heroes of Pymoli." Key Tools: Python (pandas), Jupyter Notebook, groupby, data cleaning/munging
The global gaming industry generated $159.3 billion of revenue in 2020. Data mining is used to break down purchasing data into meaningful insights that can help future growth of revenue.
Analyzing the data for an independent gaming company for their most recent fantasy game Heroes of Pymoli. Also, analyzing the district-wide standardized test results of every student's math and reading scores, as well as various information on the schools they attend.
Using Pandas library in Python to develop meaningful insights of the data provided by a video gaming company for one of their games.
This assignment used Python-Pandas to analyze the 'Heroes of Pymoli' fantasy game and generate a report from the purchasing data to create meaningful insight.
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