A collection of maps based off trip start & stop data created from JUMP's gbfs feed & routed using Graphhopper's routing engine.

Providence's JUMP Bike program provides location data of every bike currently available through the gbfs data feed. Using Python and AWS you can sorta create trip data of the bikes. While the gbfs data is directly from the company, it's not ment to be used for trip data. However currently it is the only data provided for Providence and there is no official trip information publicly available.

Recently, Providence released their property tax roll for 2019. This time I used python & pandas to clean the data & create pivot tables viewing the changes. I focused on geographic changes looking at zip code, ward and neighborhoods to compare and contrast how the median single family & 2-5 family home value, and cost in taxes has changed from last year.

This notebook will take a look at how many votes occur each year, when the session ends and how many votes occur in the final days of a session compared to the year as a whole for both the House and Senate.