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Video Game Sales

The Dataset is Downloaded from kaggle resource In which this dataset contains more than 16k games with different variety of platform from pc to ps4. Tools which mostly used are pandas,matplotlib,seaborn. Before starting my analysis this is my first hands-on project that I applied core concepts that I learned from Data Analysis with Python: Zero to Pandas, and you will learn basics from cleaning data to get insights and visualize from it that are required for basic Data Analysis. I highly recommend for absolute beginners also please complete the course so that it will help a lot in understanding the concepts .

Downloading the Dataset

The Dataset (Video Game Sales) is from kaggle website. It contains 16k rows and 11 columns. below cells shows how to get and link that dataset from kaggle to our jupyter notebook by just using the link https://www.kaggle.com/datasets/gregorut/videogamesales.

!pip install jovian opendatasets --upgrade --quiet

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

# Change this
dataset_url = 'https://www.kaggle.com/datasets/gregorut/videogamesales'