Cybera Isaic Bridge the Gap Hackathon Project:

This project was originally started for the Cybera Isaic Bridge the Gap Hackathon.The goal of the hackathon was to use available datasets to create a data product that would help identify communities, and possibly demographics in Alberta that are underserved in regards to internet accessibility. This particular project was not finished in time to be submitted.

Link to Notebook

Original Presentation Requirements:

Inspiration:

• The Kaggle Geospatial Analysis Course:
• vverde's example on github.

What You Built:

This repo contains a set of notebooks, one for each of the hackathon goals stated, to identify communities underserved connectivity wise, and to assess the correlation between social and economic indicators.

How You Built it:

These notebooks were built using Python, Geopandas, Pandas, Folium, Matplotlib, and Sklearn in Jupyter Notebooks.

How it Works:

Impact:

Challenges:

• The library I wanted to use refused to work properly with certain parts of the reserve shapefile, I definitely got way too distracted to trying to get it to work, and trying to figure out why it wasn't working.
• Realised that when looking at underserved communities, the choice of variable to display is important, since otherwise underserved communities just won't show up at all. Some sort of reverse ratio may be needed, like lack of speed per density.

Accomplishments:

Became way more accustomed to geopandas and geospatial data. Learned about github pages.

Lessons You Learned:

• Scoping the problem out, and laying out how to approach it, is extremely important.