YouTube Mod

View dashboards to analyze Youtube channel performance, viewer trends, and geographic insights, and more.


Dashboards can help answer questions like:

  • How many YouTube channels are present in the database?
  • How many YouTube channels exist?
  • What are the top 10 YouTube channels?
  • What are the different categories of the YouTube channels?
  • How many new subscribers have joined the channel over the last 30 days?


Getting Started


Download and install Powerpipe and PostgreSQL. Or use Brew:

brew install turbot/tap/powerpipe
brew install turbot/tap/postgresql

Install the mod:

mkdir dashboards
cd dashboards
powerpipe mod init
powerpipe mod install github.com/turbot/powerpipe-mod-youtube

Configure Database

Download Global YouTube Statistics.csv

Move the downloaded file into the dashboards directory:

mv ~/Downloads/Global YouTube Statistics.csv .

Connect to PostgreSQL:

psql -U <username> -d postgres

Create and connect to a database:

create database youtube;
\c youtube

Create a table:

create table youtube_statistics (
rank INT,
youtuber VARCHAR(255),
subscribers NUMERIC,
video_views NUMERIC,
category VARCHAR(255),
title VARCHAR(255),
uploads NUMERIC,
country VARCHAR(100),
abbreviation VARCHAR(10),
channel_type VARCHAR(100),
video_views_rank NUMERIC,
country_rank NUMERIC,
channel_type_rank NUMERIC,
video_views_for_the_last_30_days NUMERIC,
lowest_monthly_earnings NUMERIC,
highest_monthly_earnings NUMERIC,
lowest_yearly_earnings NUMERIC,
highest_yearly_earnings NUMERIC,
subscribers_for_last_30_days NUMERIC,
created_year TEXT, -- Changed from INT to TEXT
created_month VARCHAR(10),
created_date FLOAT,
gross_tertiary_education_enrollment_percent NUMERIC,
population NUMERIC,
unemployment_rate NUMERIC,
urban_population NUMERIC,
latitude NUMERIC,
longitude NUMERIC

Load the dataset into the table:

\copy youtube_statistics(rank, youtuber, subscribers, video_views, category, title, uploads, country, abbreviation, channel_type, video_views_rank, country_rank, channel_type_rank, video_views_for_the_last_30_days, lowest_monthly_earnings, highest_monthly_earnings, lowest_yearly_earnings, highest_yearly_earnings, subscribers_for_last_30_days, created_year, created_month, created_date, gross_tertiary_education_enrollment_percent, population, unemployment_rate, urban_population, latitude, longitude)
from 'Global YouTube Statistics.csv' DELIMITER ',' CSV HEADER ENCODING 'ISO-8859-1';

Browsing Dashboards

Start the dashboard server with the DB connection string:

powerpipe server --database postgres://<username>@localhost:5432/youtube

Browse and view your dashboards at http://localhost:9033.

Open Source & Contributing

This repository is published under the Apache 2.0 license. Please see our code of conduct. We look forward to collaborating with you!

Powerpipe is a product produced from this open source software, exclusively by Turbot HQ, Inc. It is distributed under our commercial terms. Others are allowed to make their own distribution of the software, but cannot use any of the Turbot trademarks, cloud services, etc. You can learn more in our Open Source FAQ.

Get Involved

Join #powerpipe on Slack →

Want to help but not sure where to start? Pick up one of the help wanted issues: