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Video Game Sales Analysis

This dataset contains a list of video games with sales greater than 100,000 copies.This analysis aims at analyzing all the sales and infer some patterns and results from the observations. The dataset used for this analysis is taken from Kaggle.
Python's various data science libraries such as Numpy, Pandas, Matplotlib and Seaborn are being used for this analysis.

Downloading the Dataset

We have already downloaded the dataset from kaggle and uploaded it on jupyter. You can view the uploaded files using the "File" > "Open" menu option in Jupyter.

Let's begin by importing pandas, and load the CSV file using the Pandas library.

# Change this
dataset_url = 'vgsales.csv' 
import pandas as pd
games_df = pd.read_csv(dataset_url)