Project

Global YouTube Statistics 2023 Analysis

Technology

Python, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter

Year

2025

Source Code

Github

Description

Exploratory data analysis of the Global YouTube Statistics 2023 dataset (995 top channels, 28 columns), covering subscribers, video views, earnings, channel types, countries, and creation dates.

The analysis compares subscribers by category and country, earnings by channel type, growth over time, and correlations between variables. Subscribers and video views are strongly correlated, and earnings follow the same pattern.

After cleaning missing values, duplicates, and outliers, a simple linear regression using video views and highest monthly earnings explains about 39% of the variance in subscribers (R² 0.39).

Global YouTube Statistics 2023 Analysis image 1Global YouTube Statistics 2023 Analysis image 2Global YouTube Statistics 2023 Analysis image 3Global YouTube Statistics 2023 Analysis image 4

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