About Videos Games:
Globally, there are 2.3 billion players. They have an inexhaustible love for video games, much like the Universe!! One of the most addictive things gamers do is read about video games, particularly the history and interesting information about some of their favorite titles, gaming publishers, and game developers — it's just so fascinating how it all came together.
Motivation It would be interesting to see any machine learning techniques or continued data visualizations applied on this data set.
- What is the video game Sales by year?
- What is the video game Sales by Platform?
- What is the video game Sales by Genre?
- What is the most popular game?
The data set is provided in .csv format contains information of Motivated by Gregory Smith's web scrape of VGChartz Video Games Sales, this data set simply extends the number of variables with another web scrape from Metacritic. Unfortunately, there are missing observations as Metacritic only covers a subset of the platforms.
The data set was extracted from Kaggle
Number of rows = 16598 rows
Number of columns = 11 columns
| Field Name | Description |
|---|---|
| Rank | Ranking of overall sales |
| Name | Name of the game |
| Platform | Console on which the game is running |
| Year | Year of the game released |
| Genre | Game's category |
| Publisher | Publisher |
| NA_Sales | Game sales in North America (in millions of units) |
| EU_Sales | Game sales in the European Union (in millions of units) |
| JP_Sales | Game sales in Japan (in millions of units) |
| Other_Sales | Game sales in the rest of the world, i.e. Africa, Asia excluding Japan, Australia, Europe excluding the E.U |
| Global_Sales | Total sales in the world (in millions of units) |
- Pandas
- NumPy
- missingno
- Matplotlib
- Seaborn
- Counter from collections
- matplotlib
- matplotlib.pyplot
- matplotlib.style
- matplotlib.colors
- warnings
- python
- jupyter notebook
- PowerPoint
- Excel
- The MVP goal is to answer of the questions we mentioned