Netflix Movie Data

This dataset (source: Kaggle) contains information of almost 8000 Netflix movies and shows. You can try a lot of data science concepts on this dataset; some examples are given at the end of this template.

# Load packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

Load your data

# Load data from the csv file
df = pd.read_csv('netflix_dataset.csv', index_col=0)
df.head()

Understand your variables

# Understand your variables
variables = pd.DataFrame(columns=['Variable','Number of unique values','Values'])

for i, var in enumerate(df.columns):
    variables.loc[i] = [var, df[var].nunique(), df[var].unique().tolist()]
    
variables

Answer interesting questions:

Now you get to explore this exciting dataset! Can't think of where to start? Try your hand at these questions:

• How do the variables correlate?
• Which countries have contributed most movies in recent years?
• Which actors are most likely to work together?

# Start coding

Acknowledgements

Dataset source: Kaggle