Muradamen/Maji_Ndogo_Part_1_Data_Exploration

Initial data exploration, cleaning, and preparation for the Maji Ndogo Water Pump project. # Maji_Ndogo_Part_1_Data_Exploration Initial data exploration, cleaning, and preparation for the Maji Ndogo Water Pump project. # Maji Ndogo: Part 1 — Data Exploration and Cleaning 💧 A component of the Maji Ndogo Water Pump Prediction Project This repository focuses on the initial phase of the Maji Ndogo project, dedicated to understanding and preparing the raw water survey data for in-depth analysis. ## Project Overview The **Maji Ndogo Water Pump project** is a data-driven initiative to address water scarcity and quality issues in the Maji Ndogo region. Our mission is to leverage a comprehensive dataset to generate actionable insights and inform solutions that improve water accessibility. This repository, Maji Ndogo: Part 1, is the foundation of the entire project. We'll be performing a deep dive into the raw data, exploring its structure, cleaning inconsistencies, and setting the stage for future analysis and modeling. ## Part 1 Goals Our objectives for this phase are clearly defined: 1. **Data Familiarization:** Get acquainted with the entire dataset, its tables, columns, and relationships. 2. **Exploratory Data Analysis (EDA):** Use SQL to explore the data, identify key variables, and uncover initial patterns. 3. **Data Cleaning:** Address any inconsistencies, errors, or missing values to ensure the data is reliable. 4. **Foundation Building:** Prepare a clean, well-structured dataset that can be used for the subsequent phases of the project (modeling and deployment). ## Data Overview The project relies on a comprehensive dataset structured into several tables, which we will thoroughly explore in this phase: - employee: Information about employees involved in data collection. - global\_water\_access: Global water access statistics by country and region. - location: Details about various locations within Maji Ndogo. - visits: Records of visits to water sources. - water\_quality: Data on the quality of water sources. - water\_source: Information about di …