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Analysis and Statistics of Video Games

In this project we will analyze data from Video Games industry. I find this CSV on ("https://www.kaggle.com/gregorut/videogamesales").
There are data from more than 16,500 games. In this notebook we are going to analyze which genre of video games are most represented on the global markets and wich publishers are the most present in relishing tittles past year's.
In this notebook we are going to be use libraries like Pandas to load the data and NumPy, seaborn and matplotlib to clean and represent data.
All library’s and technics are learned from courses (Zero to Pandas) at Juvian.ml

As a first step, let's upload our Jupyter notebook to Jovian.ml.

Downloading the Dataset

I am downloading this data froa kaggle and stored in a variable named

!pip install jovian opendatasets --upgrade --quiet

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

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