Correlation-in-Python-Project

Introduction

Is the movie industry dying? is Netflix the new entertainment king? To answer these questions, I chose this project to find the correlation between companies, voters, Budget and the gross revenue generated by them over the years from 1986-2016 (As provided in the Data Set)

Mission Objective

1. Import the required libraries in the Jupyter Notebook
2. Remove any duplicates from the dataset
3. clean the dataset, Remove the NaN values from the columns to be used for generating insights
4. Create visualisations using Matplotlib, Seaborn

Data Sources

• Kaggle

Files

1. Python Script
2. csv file containg the dataset

Software Requirements

1. Anaconda
2. Jupyter Notebook
3. Python 3.0.0+