Placement Finder: Difference between revisions
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After working closely with several people in the helping field (group home employees, social workers, etc), I had heard that finding placement for an individual in crisis is mostly done manually. Of course, a database with the right data to determine availability would be great, but to keep it up to date would put additional burden on the on-site staff at these locations unless it were part of a widely-adopted system in the industry. As an intermediate step toward better access of relevant placement information, I developed some Python scripts that scraped the State of Minnesota's DHS website for data related to these facilities across the state. I then used [https://github.com/geopy/geopy | After working closely with several people in the helping field (group home employees, social workers, etc), I had heard that finding placement for an individual in crisis is mostly done manually. Of course, a database with the right data to determine availability would be great, but to keep it up to date would put additional burden on the on-site staff at these locations unless it were part of a widely-adopted system in the industry. As an intermediate step toward better access of relevant placement information, I developed some Python scripts that scraped the State of Minnesota's DHS website for data related to these facilities across the state. I then used [https://github.com/geopy/geopy geopy] and Google's Geocoding API to turn the addresses into GPS coordinates. From there, I was able to pull the data into a [https://leafletjs.com/ Leaflet] map for easy visualization and navigation. | ||
== The Map == | == The Map == | ||
Please [http://software.exceedindustries.net/placefinder/ | Please [http://software.exceedindustries.net/placefinder/ click here] to check it out. Please note that the CSV of data was last updated 2016-05-25 and should not be considered complete or 100% accurate. | ||
Latest revision as of 00:19, 1 October 2018
After working closely with several people in the helping field (group home employees, social workers, etc), I had heard that finding placement for an individual in crisis is mostly done manually. Of course, a database with the right data to determine availability would be great, but to keep it up to date would put additional burden on the on-site staff at these locations unless it were part of a widely-adopted system in the industry. As an intermediate step toward better access of relevant placement information, I developed some Python scripts that scraped the State of Minnesota's DHS website for data related to these facilities across the state. I then used geopy and Google's Geocoding API to turn the addresses into GPS coordinates. From there, I was able to pull the data into a Leaflet map for easy visualization and navigation.
The Map
Please click here to check it out. Please note that the CSV of data was last updated 2016-05-25 and should not be considered complete or 100% accurate.