Getting insights from data with Python

In this project, we do an analysis on a Movies Dataset from Kaggle.

It included Metadata on over 45,000 movies and 26 million ratings from over 270,000 users. The goal of the project was to find and understand the correlation between different features of the movies such as budget, genre, revenue, release date, votes ,…

 

I wrote the code in #Python. You can find it in my repository on GitHub (Here).

 

The first few steps are #dataexploration and #datacleaning, then we do #datavisualization using scatter plots and heat maps and at the end we draw insights using a #correlationmatrix.

 

The Movie Dataset can be found on Kaggle. (Here)