# Maji-Ndogo-Water-Access-Analysis
This project tackles critical water access challenges in Maji Ndogo. Using advanced data analysis and SQL techniques, the project identifies disparities in water accessibility, prioritizes areas for intervention, and outlines practical solutions to improve infrastructure. The repository includes structured SQL queries, data aggregation techniques, and insightful visualizations that help decision-makers drive meaningful change.
## Core Focus of the Analysis
1 Water Source Distribution:
- Examines the availability and types of water sources (rivers, wells, shared taps, etc.) across provinces and towns.
- Highlights areas with the largest reliance on unsafe water sources like rivers.
Queue Times and Infrastructure Efficiency:
- Investigates the queue times at shared taps to identify overburdened locations.
- Detects disparities in wait times and inefficiencies in water infrastructure.
2 Water Quality and Contamination:
- Assesses contamination levels in wells, differentiating between chemical and biological pollutants.
- Proposes specific interventions for purifying water sources.
3 Broken Infrastructure:
- Identifies areas where home water taps are installed but non-functional due to systemic failures in pipes, pumps, and reservoirs.
4 Inequalities in Access:
- Uncovers disparities between rural and urban areas, highlighting inequitable distribution and access to clean water.
## Key Tasks:
- Data Integration: Used INNER JOIN and LEFT JOIN techniques to connect and preserve necessary data across tables.
- Exploratory Data Analysis: Investigated relationships between towns/provinces and water sources and Analyzed key variables such as water source type, number of people served, and queue times.
- Water Quality Assessment: Filtered and categorized wells based on contamination types (chemical vs. biological) using control logic,Identified clean wells and proposed appropriate filtration systems (e.g., UV or RO filters)
- Queue Time Ana …