This repository contains code and analysis for exploring customer data, focusing on profiling and contact preferences. The project includes various stages of data processing, from raw data preparation to final cleaned datasets, and employs Python and popular data analysis libraries to uncover insights and trends.
- Data Cleaning: Prepares the dataset by removing inconsistencies and filling missing values.
- Exploratory Analysis: Analyzes customer profiles and contact preferences to identify patterns.
- Data Visualization: Utilizes graphs and charts to illustrate findings and trends.
- Customer Profiling: Provides insights into customer behavior and geographical distribution.
- Python
- Jupyter
- Pandas
- Plotly
Feel free to contribute to the project by submitting issues, suggesting improvements, or making pull requests.
This project is licensed under the MIT License - see the LICENSE file for details.
For questions or feedback, please reach out to mdaffailhami@gmail.com.