Analysis On Video Games
Since the past 7 weeks or so, I have been attending the course "Data Analysis with Python : Zero to Pandas" organized by JovianML in association with FreeCodeCamp.org. As part of the course, we are required to perform an exploratory data analysis and visualise the results on a particular dataset. Video Games have always fascinated and kept me engaged throughout my childhood. So, it is only fair that I perform the analysis on my favorite pastimes. The requires dataset will be downloaded from Kaggle.
Downloading the Dataset
To perform analysis and visualisation, we need to have a dataset. This dataset needs to be downloaded from somewhere. In this case, I have found my required dataset from Kaggle, an open source Machine Learning Framework. The dataset contains 11 columns and consists of details of video games sales of the past 4 decades. To download the dataset, we will have to import some necessary packages and then perform our required operations on them.
!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'