YouTube-Statistics-Project

This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.

Project Structure

├── Data_sets │ ├── Global YouTube Statistics.csv │ └── cleaned_data.xlsx ├── main.py ├── Loading_file.py ├── Cleaning_file.py ├── Analysis.py ├── Visuals.py └── README.md

• Data_sets/: Contains the original and cleaned datasets.
• main.py: The main script that orchestrates the data loading, cleaning, analysis, and visualization.
• Loading_file.py: Script for loading the dataset.
• Cleaning_file.py: Script for cleaning the dataset.
• Analysis.py: Script for performing various analyses on the dataset.
• Visuals.py: Script for generating visualizations from the data.
• README.md: This file, describing the project.

Getting Started

Prerequisites

To run this project, you will need the following Python libraries:

• pandas
• numpy
• matplotlib
• seaborn
• openpyxl

You can install these libraries using pip:

pip install pandas numpy matplotlib seaborn openpyxl