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https://github.com/asghar-rizvi/youtube-statistics-project


https://github.com/asghar-rizvi/youtube-statistics-project

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# 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:

```bash
pip install pandas numpy matplotlib seaborn openpyxl