colemanja91 / get_lauren_a_raise

Get Lauren a Raise (PointCrow Clips)

Data analysis of the YouTube "PointCrow Clips" channel illustrating engagement over time relative to community efforts to get Lauren (editor, channel manager) a raise.

Only data publicly-available over the YouTube APIs is used.

Prerequisites

• YouTube API Key
  • This is a good guide: https://www.geeksforgeeks.org/youtube-data-api-set-1/
  • In this repo, the key is assumed to be the environment variable YT_API_KEY
• Python3 requirements
  • pip install -r requirements.txt
  • Recommended using virtualenv

Overview

• data/
  • Output data from the scripts being run in this repo
• script/
  • Python scripts which pull data from the YT API

Get the channel ID

TL;DR

• The channel ID is UC6MnY4d56I8j2H327vZzmFg

python3 ./script/get_channel_id

Get list of channel videos

• Output stored in data/videos/list.json

Get all video comments

• Raw output stored in data/comments/raw/comment_threads.json

Aggregate all comments to a CSV file

• Output stored in data/comments/agg/comments.csv

Actual analyses

SQL scripts stored in sql/. DB is assumed to be PostgreSQL.

Comment Volume

• total comments
• Total parent comments
• Total threads with replies
• What are the most-liked comments?
• What is the most-commented video?
• Which comment thread has the most engagement?
• Which video is most disliked?
• Any correlation between duration and performance?

Raise

• When did the first raise-related comment appear?
  • Before or after the initial clip?
• Did anyone retroactively comment about the raise on older clips?
• Who has commented the most about the raise?
• Did the raise produce a noticeable increase in comment-based engagement?

Laid

• Same as raise, but for getting laid