> > 1. Banks (with GeoLocation) > 2. Post Office (with geo Location) > 3. Police Station (with geoLocation) > 4. meeSeva centers (with geoLocation) > 5. Electrical Sub Stations (with GeoLocation)
These might be good for *adding to* and exracting from open street map? You can search for the appropriate key-value pairs on OSM wiki. Example: https://wiki.openstreetmap.org/wiki/Tag:amenity%3Dbank Then, for extraction, Overpass Turbo may be used: https://overpass-turbo.eu/ Example query : banks in Telangana: https://overpass-turbo.eu/s/wc8 To answer the question of "why don't I see all the banks listed in this", *"You're not stuck in traffic. You are traffic."* (hint: see the underlined words above) All the best! And btw it's for facilitating collection of this kind of stuff that I want to figure out a NoSQL data gathering portal <https://groups.google.com/forum/#!topic/datameet/Xs8lYweKXeQ> which would be a mid-step for collaborative work before putting on OSM, click to check it out. On Tuesday, February 6, 2018 at 4:13:23 PM UTC+5:30, srinivas kodali wrote: > > Raw data is stored in a very unstructured fashion across departments at > each district level. The open data team gets them from individual > departments, processes them and uploads it after cleaning and aggregating > to avoid noise. > > For databases where data is standardized, they are working on to share > them through APIs over next couple of months. It has been just one year for > the policy being implemented, it's gonna take some time to get more > granular data. > > Regards, > Srinivas Kodali > www.lostprogrammer.com > > On Tue, Feb 6, 2018 at 12:10 PM, Srinivas Karuturi <[email protected] > <javascript:>> wrote: > >> Dear Data Meet, >> >> I have been looking at and tracking the Open Data Portal of Telangana and >> fail to understand why only aggregated data is published and not granular >> data. I have written a note to the Telangana Open Data team and would like >> to enquire if anyone has the following datasets. >> >> 1. Banks (with GeoLocation) >> 2. Post Office (with geo Location) >> 3. Police Station (with geoLocation) >> 4. meeSeva centers (with geoLocation) >> 5. Electrical Sub Stations (with GeoLocation) >> >> I am looking to gather this data to conduct an analysis on the proximity >> of services for people of Telangana. >> Attached is a quick and dirty analysis done on the data published on the >> Open Data Portal which shows that certain districts have more domestic >> electricity connections than households. >> >> Attached is the excel file and if you have the data hit me up >> >> Regards, >> >> Srinivas >> >> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to the Google Groups >> "datameet" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> >> >> >> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to the Google Groups >> "datameet" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> >> > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
