videogames-sales-analysis

this project was developed for an university exam.

Exploratory analysis and correlation between sales of video games and consoles in the world.

Index

1. Introduction

2. Data Collection

   • Video game sales dataset

   • Console sales dataset

3. Data Processing

   • Cleanup of datasets

   • Validity check of global sales

   • Publisher control with few published games

4. Exploratory analysis

   • Videogame datasets

   • Dataset consoles

5. 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

6. 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)