[datameet] Hillhacks 2016: Call for Proposals

['Guneet Narula' via datameet]

Dear all,

The third edition of Hillhacks is coming up and the call for proposals and 
participation is live: http://hillhacks.in/cfp

If you are looking to take break this summer, go up to Dharamshala (and 
from there, down to the village Rakkar near Sidhbari) for some days of 
camping and relaxation with other awesome people :) hillhacks.in/signup

While you relax talk about all things geeky or nerdy under the sun. Two of 
these being (open) data and maps! Also if you would like to propose a talk, 
workshop, flashtalk or anything in between, follow the first link and then 
go to hillhacks.in/2016 to submit.

Best,
Guneet

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Re: [datameet] Re: update to pincodes data

[Indranil Gayen]

Wow that's a great job. I was trying out Google's API. I'll match the same
with your result and report the similarity.

Thanking you
Indranil Gayen

On Mon, May 2, 2016 at 11:07 AM, Avinash Celestine <
avinash.celest...@gmail.com> wrote:

> Hi Indranil,
>
> you cant get it readymade in csv format unfortunately.
>
> when you select a state, you have to inspect the data thats loaded into
> your browser (using something like Chrome dev tools).
>
> for this particular page, the data is loaded in json format. Just save it
> offline in a file. from there you essentially write a script to convert
> that to csv or use an online tool like this : http://konklone.io/json
>
> regards
> Avinash
>
>
>
>
>
>
>
> On Mon, May 2, 2016 at 10:39 AM, Indranil Gayen 
> wrote:
>
>> Hi Avinash,
>> Great work. I was trying the same thing but with the help of Google's
>> Geo-coding API.
>> But I am just wondering how do you get data from
>> http://pmjdy.gov.in/g-i-s.aspx in csv format?
>>
>> On Saturday, 30 April 2016 17:18:45 UTC+5:30, Avinash Celestine wrote:
>>>
>>> Hi
>>>
>>> Came across this site a week or so ago : http://pmjdy.gov.in/g-i-s.aspx.
>>>
>>> This site, which is part of the PMJDY (jan dhan yojana), has
>>> geolocations for post offices among others. There are 1.42 lakh post office
>>> locations given in this map. I have tried to match these locations to
>>> actual pincodes from the list of post offices given in data.gov.in.
>>>
>>> I managed to match about 1.35 lakh. About 7k-8k are unmatched.
>>>
>>> So we have 1.35 lakh post office locations with associated geocodes and
>>> pincodes. Another 7k-8k can be done with a little effort. still working on
>>> it.
>>>
>>> The data is here : https://github.com/avinashcelestine/Pincodes-data
>>>
>>> regards
>>> Avinash
>>>
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