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
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.
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.
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.
Using Pandas library in Python to develop meaningful insights of the data provided by a video gaming company for one of their games.
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