This is a submission for this(Create Visualization of Badger Boost Data) Gitcoin Hackathon.
This is the link to the Dashboard : https://badger-data-visualization.herokuapp.com/
Preprocessed the older dates data set. It had 77 files out of which 6 files didn't had native and non-native dataset values. Calculated the Sum of Native and Non-Native Balance for each day and created two dataframes for the same and saved it as csv files.
Extracted the live value of Sum of Native and Non-Native tokens for all users from this link and appended it to the old data dataframes.
Made an area chart of the Individual daily sum of Native and Non Native balance which shows the change with time. 0 on x-axis represents the first data point (when boost was implemented)
Added a rerun button get the latest plot
I used the Stramlit python library to make the dashboard.
The '''boosts''' folder contains the prvious or old boosts data in JSON format.
The 'Native_Balance_historical.csv' and the 'Non_Native_Balance_historical.csv' updates everyday.
The Procfile, setup.sh and requirements.txt files are needed to deploy the Streamlit app on heroku.Seethis tutorial for more details.