Quality Control Notebook

Prerequisites

Before running this notebook, ensure you have the following installed:

• Python 3.x
• Jupyter Notebook
• Required Python libraries: pandas, numpy, matplotlib, seaborn

Install Necessary Libraries

You can install the required libraries by running the following command in your terminal:

pip install pandas numpy matplotlib seaborn

How to Run the Notebook

Clone the Repository (if applicable)

If this notebook is part of a repository, you can clone it using the following commands:

git clone <repository-url>
cd <repository-folder>

Open Jupyter Notebook

Launch Jupyter Notebook from your terminal:

jupyter notebook

Navigate to the Notebook

In the Jupyter interface, navigate to the folder containing Quality_Control.ipynb and open it.

Run the Cells

Run the cells in the notebook sequentially by selecting each one and pressing Shift + Enter.

Usage

Data Loading

The notebook includes sections for loading datasets. Ensure your data files (e.g., CSV, Excel) are in the correct format, and adjust the file paths as necessary.

Quality Control Checks

This notebook provides various functions to perform data quality checks, including:

• Missing Value Analysis: Identify and handle missing data points.
• Outlier Detection: Detect outliers that could affect data quality.
• Data Type Validation: Verify the types of your data columns to ensure correctness.

Visualization

Leverage built-in visualization tools, such as:

• Histograms
• Box plots
• Scatter plots

These plots help to understand data distributions and identify potential data issues.

Contribution

If you would like to contribute to this project, you can fork the repository, make your changes, and submit a pull request.

To contribute:

1. Fork the repository.
2. Create a new branch with your changes.
3. Commit your changes.
4. Open a pull request.

Please ensure your code follows best practices and includes appropriate comments and documentation.

License

This project is licensed under the MIT License. See the LICENSE file for details.