Water Future in Maji Ndogo Project Overview Welcome to the Water Future in Maji Ndogo project. This initiative focuses on analyzing the future water needs and resources of the Maji Ndogo community using advanced data analysis techniques. The project combines statistical modeling, data visualization, and scenario analysis to provide valuable insights into water demand, supply challenges, and future sustainability.

Motivation Water is a critical resource, and understanding future demands is essential for sustainable management. This project aims to forecast water needs and identify potential risks that could affect the community's water security. By analyzing different scenarios, we hope to provide actionable insights that can guide decision-makers in ensuring a reliable water supply for Maji Ndogo.

Key Components

1. Data Processing Cleaning and transforming raw data into a usable format. Handling missing values, outliers, and ensuring data integrity.
2. Predictive Statistical Modeling Utilizing statistical models to predict future water demand based on historical data. Applying models like ARIMA, Linear Regression, and others to understand trends and patterns.
3. Visualizations Creating clear and informative visualizations to represent data trends and projections. Using Matplotlib and Seaborn to generate plots that communicate insights effectively.
4. Scenario Analysis Exploring various future scenarios to assess potential water supply challenges. Evaluating different factors such as population growth, climate change, and resource availability. Technologies Used Python 3.x: The primary programming language used. Jupyter Notebook: For interactive analysis and documentation. Pandas & NumPy: For data manipulation and numerical operations. Matplotlib & Seaborn: For creating visualizations. MySQL & SQLAlchemy: For database management and connectivity.