Learn practical skills, build real-world projects, and advance your career

Video Game Sales Data Analysis

This project is centered around video game sales from 1980 to 2020. The data contains information such as the year it was released, the publisher, the platform it was released on and its sales across the globe. This project I will be mainly using Pandas, metplatlab and seaborn to analyze the data and construct graphs to visualize the data. This project was completed as the final assignment for the Data Analysis with Python: Zero to Pandas course that I have been taking. This course has given me valuable expereince in learning Python. I do not have a coding background but was able to complete the below project with the information I have learned from the course.

Downloading the Dataset

In the cells below under this group, we are going to download the dataset for the video game csv file from Kaggle. Once we download the data, we will be able to perform some data anaylsis, or at least try to.

!pip install jovian opendatasets --upgrade --quiet

Let's begin by downloading the data, and listing the files within the dataset.

# This is the website from where we are getting the data
dataset_url = 'https://www.kaggle.com/gregorut/videogamesales'