Inspiration
When I was still in high school, my dad would always tell me to look at the BLS when thinking about what career field to go into. This gave me the confidence needed after some research to go into Computer Science. This gave me financial wellness.
What it does
When the application is completed.
How we built it
We pulled data from www.bls.gov, https://www.irs.gov/, and https://www.apartmentlist.com/research/national-rent-data into PowerBI and transformed all the data so they could be joined together later during the visualization phase.
Afterwards, we indexed the data into sqlite and are currently in the process of finalizing the web form and subsequently generated charts.
The frontend was built with Angular, Bootstrap, and Formly [https://formly.dev/]
Challenges we ran into
Data transformations in PowerBI began to slow down given how large the data we were combining together.
Accomplishments that we're proud of
- We were able to create a dynamic form that could be autogenerated with more fields / options depending on what was returned from the Flask API
What we learned
- some PowerBI
- sqlite3
- Flask
- More about different BLS metrics
What's next for Career and Me
- Finalizing the API
- Dynamically generated the visualizations with Chart.js
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