Setup

Ensure you have python3 installed on your machine
Create a virtual environment in this folder by running python3 -m venv env This will create a folder named env
Run source env/bin/activate to activate the virtual environment
Run pip install -r requirements.txt to install the dependencies
Create a google developer account, enable google sheets API and add the credentials.json file to your working directory. Follow this guide for more details: https://developers.google.com/sheets/api/quickstart/python#set_up_your_environment

Running the reader

In a terminal window, navigate to this folder and activate the virtual environment by running python3 -m venv env
Run python reader.py

Create end to end pipeline of anime dataset for descriptive and inferential analyis.
Long term implications focus on building anime preference predictor and anime taste classification.
Final goal to prove Seinen lovers are elite and Seinen is far better than Shonen.
Output dashboard visualization can be found here https://public.tableau.com/app/profile/adecole/viz/AnimeDashboard_17027753164060/AnimeSelection