[datameet] Re: Aadhaar Open Data

[rammano...@gmail.com]

Hi Srinivas,
can you share the UIDAI data repository again? want to know the UIDAI 
centers across india. 

Thanks
Ram 

On Wednesday, 21 October 2015 at 10:41:42 UTC-4 srinivas kodali wrote:

> Hi all,
>
> UIDAI is publishing the meta data of aadhaar registrations and applicants 
> here https://data.uidai.gov.in/
>
> Some description about the data is 
> http://www.lostprogrammer.com/blog/aadhaar-and-open-data/
>
> All the data from 2012 till Sept 2015, amounts to 40 gb of data points. 
> The compressed data is available here for any one to use it. 
> https://storage.googleapis.com/uuid/data.gz
>
> Anyone who is interested in analyzing this data can start using the 
> hackpad  
>
>
> Regards,
> Srinivas Kodali
> www.lostprogrammer.com
>

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[datameet] Pincode for Towns in India

[rammano...@gmail.com]

Hello,
India Census 2011 doesn't provide pincodes for towns. 

is there any source to know the Pincode for towns in India? I am getting 
these details for www.India-data.com .

Regards
Ram 

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[datameet] Help with R logic - near similar name

[rammano...@gmail.com]

Hi,

I have collected hospital data from multiple sources. However, each source 
have different name. Trying to clean list with no duplicates. I am using R 
and couldn't resolve with stringdist_join . Appreciate you suggesting some 
approach. 

For example, Guntur (A.P) is listed with following names. Can we mark (or 
eliminate) duplicate?

Example 1
SANKARA EYE HOSPITAL(GUNTUR) 
SANKARA EYE HOSPITAL 
SANKARA EYE HOSPITAL ( A UNIT OF SRI KANCHI KAMA KOTI MEDICAL TRUST)   


Example 2
ASHIRWAD HEART HOSPITAL ( GHATKOPAR ) 
Ashirwad Heart Hospital 
ASHIRWAD HEART HOSPITAL ( GHATKOPAR ) 
Ashirwad Heart Hospita-Ghatkopar   

Thanks
Ram

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Re: [datameet] Help with R logic - near similar name

[rammano...@gmail.com]

Thank you Dilawar, Rahul, Ravikant, Sudatta, Madhu, Nikhil:

I mix-matched all the options you suggested. Finally, I have 18k hospital 
list in India. I will be providing this data from  http://india-data.com/  
, where people can search information by Pincode. Beta version is live   
http://india-data.com/pincode/221107/   .

Thanks again to all.

Regards
Ram

 

On Wednesday, 26 August 2020 at 02:50:09 UTC-4 nikh...@gmail.com wrote:

> Hi Ram,
>
> I'm not sure about R, but if you have the list in an excel / csv then 
> OpenRefine can help you iron it all out in a jiffy. Check out this article 
> I've written that explains the flow for this particular task:
> http://datameet.org/2018/06/13/openrefine-bus-stop/ 
>
> OpenRefine is a tool made for non-coders to clean up messy data. Site: 
> https://openrefine.org/ 
>
> --
> Cheers,
> Nikhil VJ
> https://nikhilvj.co.in
>
>
> On Wed, Aug 26, 2020 at 6:21 AM m...@ncf-india.org  
> wrote:
>
>> Hi Ram
>>
>> In addition to the helpful suggestions made above, here are some 
>> R-specific pointers:
>> — stringr is an extremely helpful package with which to do most of the 
>> string manipulation actions (whitespace removal, tokenisation, regex 
>> matching) recommended above.
>> — you may also need a package that helps you compute ‘distances’ between 
>> the strings you are comparing. stringdist is one such package. However, 
>> with Indian names, I found some of the phonetic distance algorithms 
>> (rogerroot, soundex) in the phonics package much more helpful.
>>
>> Hope this helps! Good luck!
>> Madhu
>>
>> On Wednesday, 26 August 2020 at 00:48:45 UTC+5:30 sudat...@gmail.com 
>> wrote:
>>
>>> Hi Ram,
>>>
>>> Faced with similar issues, the following worked for me - 
>>>
>>> 1. Make everything lower or upper case using tolower/ toupper
>>> 2. Grep to match the common pattern of name
>>>
>>> Best,
>>> Sudatta
>>>
>>> On Aug 25, 2020, at 7:52 AM, Rahul Gupta  wrote:
>>>
>>> Hi Ram,
>>>
>>> Not sure if there is something very similar to FuzzyWuzzy (Python) in R. 
>>> But you can try this link
>>> https://astrostatistics.psu.edu/su07/R/html/base/html/agrep.html
>>>
>>> It is similar kind of approximate string matching. You can set your own 
>>> threshold criteria and filter data accordingly.
>>>
>>> On Tue, 25 Aug, 2020, 8:09 pm rammano...@gmail.com, <
>>> rammano...@gmail.com> wrote:
>>>
>>>> Hi,
>>>>
>>>> I have collected hospital data from multiple sources. However, each 
>>>> source have different name. Trying to clean list with no duplicates. I am 
>>>> using R and couldn't resolve with stringdist_join . Appreciate you 
>>>> suggesting some approach. 
>>>>
>>>> For example, Guntur (A.P) is listed with following names. Can we mark 
>>>> (or eliminate) duplicate?
>>>>
>>>> Example 1
>>>> SANKARA EYE HOSPITAL(GUNTUR) 
>>>> SANKARA EYE HOSPITAL 
>>>> SANKARA EYE HOSPITAL ( A UNIT OF SRI KANCHI KAMA KOTI MEDICAL TRUST)   
>>>>
>>>>
>>>> Example 2
>>>> ASHIRWAD HEART HOSPITAL ( GHATKOPAR ) 
>>>> Ashirwad Heart Hospital 
>>>> ASHIRWAD HEART HOSPITAL ( GHATKOPAR ) 
>>>> Ashirwad Heart Hospita-Ghatkopar   
>>>>
>>>> Thanks
>>>> Ram
>>>>
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>>>> about us by visiting http://datameet.org
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>>>> <https://groups.google.com/d/msgid/datameet/19ee8101-84ec-42b0-974a-43035b5902f1n%40googlegroups.com?utm_medium=email_source=footer>
>>>> .
>>>>
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