https://github.com/emoral435/jupyterpatents

Working with Sourav Medya to research and find out through public datasets why patents have correlated to other datasets that are public as well, such as public COVID datasets
https://github.com/emoral435/jupyterpatents

data-science jupyter-notebook matplotlib pandas python3 seaborn

Last synced: 6 days ago
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Working with Sourav Medya to research and find out through public datasets why patents have correlated to other datasets that are public as well, such as public COVID datasets

• Host: GitHub
• URL: https://github.com/emoral435/jupyterpatents
• Owner: emoral435
• Created: 2023-06-22T21:44:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-14T18:07:00.000Z (over 1 year ago)
• Last Synced: 2024-12-21T17:27:21.994Z (2 months ago)
• Topics: data-science, jupyter-notebook, matplotlib, pandas, python3, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.44 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


  



# Patent Research

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.

## Information

The patent datasets were collected from [PatentsView](https://patentsview.org/download/data-download-tables), 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](https://datahub.io/core/employment-us#resource-aat1), and you can find further information about Datahub on their website.

The online job postings was found via Kaggle, and can be found [here](https://www.kaggle.com/datasets/madhab/jobposts).