https://github.com/antoniopelusi/vg-sales-analysis

Exploratory analysis and correlation between sales of video games and consoles in the world.
https://github.com/antoniopelusi/vg-sales-analysis

exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: about 3 hours ago
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Exploratory analysis and correlation between sales of video games and consoles in the world.

• Host: GitHub
• URL: https://github.com/antoniopelusi/vg-sales-analysis
• Owner: antoniopelusi
• Created: 2022-11-11T08:09:21.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-15T23:15:46.000Z (almost 2 years ago)
• Last Synced: 2024-11-20T07:59:00.089Z (about 3 hours ago)
• Topics: exploratory-data-analysis, matplotlib, numpy, pandas, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 2.64 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# videogames-sales-analysis

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

## Index

0. **Introduction**

1. **Data Collection**

     - Video game sales dataset

     - Console sales dataset

2. **Data Processing**

     - Cleanup of datasets

     - Validity check of global sales

     - Publisher control with few published games

3. **Exploratory analysis**

    

     - Videogame datasets

    

     - Dataset consoles

4. **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

    

5. **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](https://www.vgchartz.com/gamedb/) written in **Python** *(vgchartz-scraper.ipynb)*

- Video game sales dataset obtained from the scraping of [vgChartz](https://www.vgchartz.com/gamedb/) *(vgsales.csv)*

- Console sales dataset retrieved from [Kaggle.com](https://www.kaggle.com/datasets/jaimepazlopes/game-console-manufactor-and-sales) *(console.csv)*