Youtube Trending Video Analysis

by Raul Maldonado

Click here to see the deployment via #GCP

Table of Contents

• Introduction

• Project Demo

• Directory Infrastructure

• Resources

• Deployments

  • Google Cloud Deployment
  • Local Deployment

Introduction

This is a redux of my Youtube Analysis project back in January 2018.

I utilizied Kaggle user Mitchell J's, Trending Youtube Video dataset to answer the following questions:

• What are the top 10 trending

1. Youtube videos

2. Categories

3. Youtube Channels

based on user view counts

Now, I would like to both answer the above questions, and so much more by emulating that past project. This emulation is done through development of some additional analysis, creating a streamline ETL process, app, and so much more.

Enjoy!

Project Demo

Version 1 (2018)

Homepage

Database Search

Version 1 (2018)

(Recommended) Directory Infrastructure

• Data

  • X number of .csv files outputted from python script

• Resources

  • config.py file
  • templates
  • Images

• database.sqlite

• LegacyData-Imputation.py

• README.md

• YoutubeAPI-Interaction.py

• ytAnalysis-app.py (Flask application)

Resources

• Youtube API Documentation

• Flask: Quick Start

Contact information:

• LinkedIn

• rmaldonadocloud@gmail.com

Deployments

Google Cloud Deployment

1. Create requirements.txt file
2. Create app.yaml file
3. gcloud app deploy Note: This version uses main.py instead of ytAnalysis-app.py

Running Locally

• If using Flask 0.12.4 or below, use;

python3 ytAnalysis-app.py

• If using Flask > 0.12.4 or above, use:

FLASK_APP=ytAnalysis-app.py flask run