Deforestation Analysis (1990 - 2016) Using Python
In this project, I analyzed global deforestation trends from 1990 to 2016 using Python and data analytics tools.
Key Project Deliverables:
️ Data cleaning and preprocessing to ensure accuracy
️ Time-series analysis of forest area changes worldwide
️ Advanced data visualizations showcasing deforestation patterns
️ Utilization of Pandas, Matplotlib, and Seaborn for interactive charts
️ Insight extraction to support environmental awareness and sustainability
This project leverages big data analysis to provide a clear and in-depth understanding of global deforestation and its environmental impact.