Updated 4 years ago
Analyzing Video-Game Sales
In this notebook, we will analyze the sales of some video games from a dataset called "Video Game Sales", which can be found on kaggle - here.
This dataset is already uploaded to the project as a csv file named "vgsales.csv".
About the dataset
The dataset contains a total of 16598 games' sales with data based on 11 columns :
- Rank (rank of game based on global sale)
- Name (Name of the game)
- Platform (Supported platform)
- Year (Year of release)
- Genre (Game genre)
- Publisher (Game publisher)
- NA_Sales (Sales in North America)
- EU_Sales (Sales in Europe)
- JP_Sales (Sales in Japan)
- Other_Sales (Sales in other countries)
- Global_Sales (Total sales worldwide)
Note: This dataset contains only the video games with sales greater than 100,000 copies.
Downloading the Dataset
We will download a dataset called "Video Game Sales Dataset" from kaggle.
!pip install jovian opendatasets --upgrade --quiet
Let's begin by downloading the data, and listing the files within the dataset.
dataset_url = 'https://www.kaggle.com/gregorut/videogamesales'