Using JupyterNotebooks and Pandas to analye data around patents to uncover any stories that lie within 3 decades of collected data. Topics that will be explored correlate to COVID, and other recent economical events that could have influenced patents.
The patent datasets were collected from PatentsView, the primary distributor of open source patent datasets. Having a look at the gitignore file will help you know which datasets I used.
The employment and population datasets where collected from Datahub, and you can find further information about Datahub on their website.
The online job postings was found via Kaggle, and can be found here.