Gen AI Data Guy

So recently parkrun removed all their stats and as a keen running who is trying to work their way up the top 100 of their local parkrun I wanted to get some of these stats back and have a bit of "fun" at the same time. So here is a little "ETL" process that I developed with the help of Gen AI.  The steps of my ETL:  Copy and paste data into Google Sheets template where an AI produced formula extracts URLS from the text and puts them into a new field. This effectively allows me to extract the parkrun athlete id, the primary key, and use it in my analysis. I also have a column to autofill the data I am processing.  Use an Gen AI generated Google Apps script to process it into a processed sheet, this allows me to build up a backlog of events (I had over 500 to process).  This is then queried using a Gen AI Google sheets query to extract key information and columns / format times etc. I then ingest the fully processed sheet into Keboola directly from Google Sheets. ...

Over the last few days I have been playing with Streamlit. This is a really useful library that effectively lets you build an interactive dashboard using python. In theory, and somewhat in practice, I can now / have handled extracting data from APIs and DBs, transformed the data using pandas, loaded it into my final database and built a dashboard all using python. From what I have read it can be setup as a form, if I could make it private it might allow me to have direct data entry into my source database as well, else I can still use Google Sheets but might implement it for fun.  The dashboard below is embedded so it should be updated as I progress with my code. The code below however is from a one of gist, you don't seem to be able to embed from the github repo, but you can find the latest version of the code here . Apparently the embedding of the code failed so just check out the dashboard for now and I will try and get that working.