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#NETFLIX DATA ANALYSIS USING PANDAS

In this project we are using netflix dataset. With this dataset we are going to analyse how netflix has been adding TV shows and Movies into its platform and some more analysis which is related to netflix.

To get this dataset we can search online or we can get in kaggle.com, link for this dataset is netflix-dataset.

Doing this project is not possible without the help of Data Analysis with Python: Zero to Pandas course, this course has taught me how we can use numpy arrays, pandas, python, matplotlib and seaborn and its applications from basics.

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.

####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".

Downloading the Dataset

####To start this project first we need to download the dataset into our project and jupyter, to do this we have 3 methods:

  • Download the CSV manually and upload it via Jupyter's GUI
  • Use the urlretrieve function from the urllib.request to download CSV files from a raw URL directly
  • Use a helper library e.g. opendatasets, which contains a collection of curated datasets and provides a function for directly download.

We'll use the opendatasets helper library to download the files.

!pip install jovian opendatasets --upgrade --quiet
import jovian