Forestation Project - SQL
In this project, I cleaned and analyzed global land area data using SQL to ensure data accuracy and usability for further analysis.
Key Deliverables:
️ Data Cleaning: Removed inconsistencies, handled missing values, and standardized formats using SQL queries.
️ Database Optimization: Structured and indexed data for efficient querying.
️ Exploratory Data Analysis (EDA): Extracted insights on land area distribution across different countries.
️ Aggregations & Queries: Used GROUP BY, JOINs, and filtering techniques to analyze deforestation trends.
️ Exported Cleaned Data: Prepared a refined dataset for visualization and reporting.