Welcome to the Analysis Using Python Libraries repository! This repository contains a collection of Jupyter Notebooks created using Google Colab that showcase data analysis projects using various Python libraries such as NumPy, Pandas, Matplotlib, and more. Each project is organized into its own directory with a dataset and a corresponding analysis notebook.
Explore the various analysis projects in this repository:
- NPS Analysis -> Analyzing customer satisfaction using Net Promoter Score (NPS) data. This project demonstrates data preprocessing, and insights extraction using NumPy library.
(More projects to be added)
Feel free to dive into each project's directory to access the dataset and the Jupyter Notebook for the analysis.
To replicate the analysis or explore the projects' notebooks in this repository, follow these steps:
- Clone this repository to your local machine using the following command:
git clone [email protected]:AdityaTiwari2102/data-exploration.git
- Access the project directories within the repository to find datasets and corresponding Jupyter Notebooks for analysis.
Contributions to this repository are welcome! If you've conducted your own analysis using Python libraries and would like to share it, feel free to open a pull request. Please ensure your code is well-documented and follows best practices.
This repository is licensed under the MIT License. You are free to use the code, datasets, and notebooks as you see fit.
Happy analyzing!