Netflix -EDA Project
As you know, Netflix is an American media company based in California. It is a subscription-based streaming service that allows its members to watch TV shows and movies without commercials on an internet-connected device.
In this project, we will use a Netflix dataset ranging from 2015 to 2021 from Kaggle, which can be found here.
I used Jupyter to complete the Exploratory Data Analysis(EDA) process.
Description Dataset:
Importing Libraries:
- import sys
- import pandas as pd
- import numpy as np
- import matplotlib.pyplot as plt
- import plotly.express as px
- import seaborn as sns
Data Cleaning:
Drop the columns that were not used for the dataset and simplify the data.
Change columns' names to make them clearer and more useful.
Data Analysis:
This project aims to answer the following questions:
- Which five genres are the most popular genres on Netflix?
According to the data, the most popular genres are comedy and drama. After that documentary, comedy-drama and drama-romance genres followed them.
2.Which one is taking more space, the Series or the Movie?
The total movies and series count in this data are 15480.
Movie= 11697
Series= 3783
3.What are the first five movies and the first five genres with the highest IMBD score in this dataset?
Movie Title — IMDB Score
- No Festival — 9.7
- Horsin Around — 9.5
- The Dream House — 9.4
- The Shawshank Redemption — 9.3
- The Godfather — 9.2
4.Which countries are the most movies/series available in?
Japan has the richest archive, with over 1200 movies and TV shows on Netflix.
5.What languages are used the most in Netflix shows?
The language range of Netflix is very wide.
However, in the first place is English, the most widely known international language.
6.Which year Series are released more than Movies?
Between 2015 and 2021, Netflix has fewer series and many movies. In conclusion, Netflix is a more Movie-based company.
Conclusion:
Future Engineering;
- Determine the director’s popularity.
- Compare the years based on newly added Series or Movies
and more…
Thank you.