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This projects is made using pandas operation to analyze the dataset having data from some of the most famous streaming platforms - Netflix, Hulu, Prime Video and Disney+. In this project the visualizations are done in Plotly and Seaborn.

License: MIT License

Jupyter Notebook 100.00%
visualization data-science data-analysis intermediate python jupyter-lab netflix plotly seaborn

netflix-hulu-disney-prime-data-visualization's Introduction

Netflix, Hulu, Prime Video, Disney+ Data Visualization


Above GIF has been downloaded from tenor.com

This Data Visualization has been made using Seaborn and Plotly in Python.

                              

😇 Motivation

During the lockdown period of 2020, these streaming platforms gained alot of users! But did you ever think - What all movies are there in these platforms? Which platform is home to some of the most popular movies with very high IMDB ratings? Which platform provides most family friendly movies? And there are many such similar questions...

⭐ Features

  • Exploratory Data Analysis
    • Removed un-neccessary columns
    • Type conversion of few columns
    • Checked Missing Data
    • Little analysis from info of the dataset
  • Graphs
    • Number of movies for each age group
    • Number of movies for specific age group in each streaming service
    • Streaming service with movies having 100% Rotten Tomato Score
    • IMDB Ratings Count
    • Number of movies having IMDB >=7.5 in each Streaming Service
    • Count of movies for a given Language
    • Brief on average Duration of Movies
    • Director with most movies across all platforms
    • Movies available in given two platforms
    • Famous Genres
    • Top movies in streaming platform

📖 Kaggle Submission Link

Incase the uploaded notebook doesn't show output, please visit my Kaggle submission here. Thanks! :-D.

📁 Dataset

The dataset used can be downloaded here (Kaggle) - Click to Download

❤️ Owner

Made with ❤️  by Sahil Chachra

👀 License

MIT © Sahil Chachra

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