this project was developed for an university exam.
Exploratory analysis and correlation between sales of video games and consoles in the world.
Index
Introduction
Data Collection
Video game sales dataset
Console sales dataset
Data Processing
Cleanup of datasets
Validity check of global sales
Publisher control with few published games
Exploratory analysis
Videogame datasets
Dataset consoles
- Testing
Correlation calculation between video game sales in the various regions
Calculation of the monotonic correlation between the sale of a console and the sale of videogames developed for the same console
Calculation of the monotonic correlation between the number of video games developed and video game sales
- Results and conclusions
Repository files
Analysis written in Python on a Jupyter notebook (videogames-sales-analysis.ipynb), uses the following libraries:
Pandas (Import of datasets)
NumPy (Math functions)
MissingNo (Displaying null values in datasets)
MatPlotLib (Graphs and statistics)
Seaborn (Charts and stats)
Game scraping script from vgChartz written in Python (vgchartz-scraper.ipynb)
Video game sales dataset obtained from the scraping of vgChartz (vgsales.csv)
Console sales dataset retrieved from Kaggle.com (console.csv)