Exploratory Data Analysis
A Comprehensive Data Analysis Project
Climate Trace Project
The Climate Trace project focuses on analyzing global emissions data. Using APIs and
geospatial tools, we identified pollution sources and emission trends globally.
Steps in the Project:
- Data Collection: Used Climate Trace API
to gather emissions data across countries and industries.
- Data Analysis: Applied breakdowns by sectors, visualized emission patterns, and
tracked high-pollution regions.
- Geospatial Mapping: Mapped emissions across the globe using GeoPandas and Cartopy.
- Reporting: Built visuals of gases, sectors, and contributors.
Technologies:
- Python (Pandas, NumPy, Matplotlib)
- GeoPandas, Cartopy
- Climate Trace API
Outcome:
- Generated detailed emissions profiles
- Identified leading global polluters
- Built interactive plots and maps
Google Earth Engine Project
This project analyzed environmental change over time using satellite data and the Google Earth
Engine (GEE). The focus was on temperature, air quality, deforestation, and urbanization
trends.
Steps Taken:
- Set up Earth Engine API and authenticated access
- Analyzed data from MODIS, NDVI, and other sources
- Mapped changes in land cover, temperature, and pollution
Tools Used:
- Google Earth Engine API
- Python + Jupyter
- Satellite imagery analysis
Results:
- Visualized temperature and vegetation shifts
- Mapped deforestation and urban expansion
- Identified areas with environmental risks
Setup Details
Climate Trace:
- Registered and obtained API keys
- Installed requests, pandas, and visualization libraries
- Developed scripts to extract and format emissions data
Google Earth Engine:
- Enabled GEE API via Google Cloud
- Authenticated user token and installed Python SDK
- Analyzed and visualized satellite data via code editor
Outcomes & Results
These projects provided data-driven insights on emissions and land-use change, helping visualize the
global environmental impact.
Climate Trace:
- Tracked sector-wise emissions globally
- Built visual dashboards for trend analysis
Google Earth Engine:
- Mapped temperature and air quality
- Revealed regional impacts of urbanization and deforestation