Analysing and Visualizing Netflix Shows Rating Data

Data Analysis with Python: Zero to Pandas - Course Project

For this project we will choose the netflix dataset with imbd rating from kaggle.com.

• Link to Dataset

We will try to extract as much information as possible from this dataset. Most of the informatio and insights we extract will be related to the rating of the Netflix shows.

This project is a part of the Data Analysis with Python: Zero to Pandas course and we will try use most things we learned from the course.

How to run the code

This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".

Option 2: Running on your computer locally

1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

2. Create a Conda environment and install the required libraries by running these commands on the terminal:

conda create -n zerotopandas -y python=3.8 
conda activate zerotopandas
pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade

3. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:

jovian clone notebook-owner/notebook-id

4. Enter the newly created directory using cd directory-name and start the Jupyter notebook.

jupyter notebook

You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a .ipynb extension) to open it.

Downloading the Dataset

We start by choosing the dataset to work with.
For this project we will choose the netflix dataset with imbd rating from kaggle

We will download the dataset into Jupyter and switch the directory to the downloaded file and extract the data to python

Let's begin by downloading the data, and listing the files within the dataset.