I wanted to create some parsers on the data that knoxville provides
and make it more accessible for others. The goal of this work is to
provide easily accessible csv
, json
and geojson
files of the
data. Also this can be thought of as a place to centralize the data
and allow users to brainstorm on how they can use the data.
An awesome binder notebook is provided to help with exploration of the data. A binder notebooks is an jupyter notebook plus a google cloud free compute instance. This means that only a web brower is needed to program and explore the data. While we could have created interactive dashboards of the data this does not allow enough flexibility for the user to be able to ask any question they may have. You will find that the for each notebook the data is preloaded and a few simple questions are solved.
Sometimes multiple links for each data source exist. I will always
prefer open easy to parse data. Usually I get them in this order:
csv
, json
, geojson
, excel
, ... and others in no particular. A
check indicates that the data has a notebook and it ready to play
with! See binder link above for interacting with data.
Metropolitan Planning Commission (MPC) collects data to support its planning efforts in Knoxville and Knox County. This data is not just valuable to our agency, it is valuable to Knox County citizens.
Here are some the data sources listed on the knoxville open data website. A checked item indicates that the data has been parsed or is being worked on.
-
Crime Map: View local crime stats on the LexisNexis Community Crime Map
-
Property Tax Database - City: Search the City property tax database.
-
Property Tax Database - County: Search the County property tax database.
-
Rainfall Data: Rainfall data collected and maintained by the City's Stormwater Engineering Division
All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome! If you are storing any data files with the commit make sure to use LFS. Keep in mind the strict limits Github has on free LFS.
MIT