The EO Dashboard allows users to independently explore indicators, but it relies on visual interpretations to understand what is changing and where. How could the Dashboard do a better job of highlighting significant change, and point the user in the right direction?
Project is divided into two parts first part deals with raw data, converting into graphs for easy to read representation and another part deals with storytelling of air quality over the time.
Project contains easy to understand graphs and data analysis on air quality over the time with description
We are mainly focusing on exploratory data analysis and storytelling.
Our main focus is exploratory data analysis we used covid and air quality data to provide insights and easy to understand graphs.
This project has been submitted for consideration during the Judging process.