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Updated 3 years ago
Analysis of Video Games Sales in Japan¶
In this Project,I am going to analyze the Dataset of Video Game Sales in Japan. I got this dataset from kaggel:https://www.kaggle.com/gregorut/videogamesales
In this project, i am going to find which Game has Highest Sales, who ware the publisher and Genre, In Which Year it got the released and more on... . I'm going to use Pandas,numpy,Matplotlib and Seaborn for this Project.
The Dataset contains following information:-
- Rank - Ranking of overall sales,
- Name - The games name,
- Platform - Platform on which the games release (i.e. PC,PS4, etc.),
- Year - Year of the game's release,
- Genre - Genre of the game,
- Publisher - Publisher of the game,
- NA_Sales - Sales in North America (in millions),
- EU_Sales - Sales in Europe (in millions),
- JP_Sales - Sales in Japan (in millions),
- Other_Sales - Sales in the rest of the world (in millions),
- Global_Sales - Total worldwide sales.
Downloading the Dataset
For this project we are going to download dataset from kaggle
Dataset link:- https://www.kaggle.com/gregorut/videogamesales
!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'