In this repository, aim is to perform the Exploratory Data Analysis (EDA) on ESG risk data and automate the data collection, preprocessing, and conversion of data to appropriate GEOJSON format.

Purpose of the Exploratory Data Analysis

In this repository, I have performed exploratory data analysis on ESG risk variables to identify if the data fits the requirements mentioned below -

1. Data needs to be geo-spatial and cover the European region.
2. Data should have a time series and is futuristic data (need to have projection for next 5, 10, 50 years)
3. Identify the useful and redundant variables.
4. Ensure that variables have S.I. units, if not perform the necessary transformation.
5. Merge individual files into one master file.

After, processing the data I tried to convert the files from NetCDF format to GeoJSON format.

References -

• Temperature and Precipitation data - https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-hydrology-meteorology-derived-projections?tab=form
• Wildfire Data - https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-tourism-fire-danger-indicators?tab=overview
• Global Sea Level Change - https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-water-level-change-indicators-cmip6?tab=overview