Hi Sreeharsha,
In case the issue is still open, can you clarify what the evaluation rule
is ?
>From what I can gather, it looks like the following:
1. Evaluate dataframe to find set of three or more consecutive days of
rainfall > 50mm
2. In case there are 3 days of consecutive rainfall,
gt;
>> The HRSL data is a great resource, but is not yet available for India. [see
>> downloads <https://www.ciesin.columbia.edu/data/hrsl/#data>]
>>
>> On Tue, Sep 29, 2020 at 2:01 PM Sarabjeet Matharu <
>> sarabjeet.mathar...@gmail.com> wrote:
>>
>>> Hi Soumya,
u can aggregate at the Pincode level if
> you have the boundaries.
>
> Regards,
> Soumya
>
> On Thu, Sep 24, 2020 at 5:33 PM Sarabjeet Matharu <
> sarabjeet.mathar...@gmail.com> wrote:
>
>> Hi
>>
>> I'm looking for population data by geography, ideally a
Tehsil level population information is available from the 2011 census.
However, are there more recent data sources from which this information can
be compiled?
Regards,
Sarabjeet
On Thu, Sep 24, 2020 at 5:33 PM Sarabjeet Matharu <
sarabjeet.mathar...@gmail.com> wrote:
> Hi
>
&
Hi
I'm looking for population data by geography, ideally at the pincode level.
Is this data readily available, perhaps through census or similar sources?
Please let me know if such data is available at whatever granularity
possible.
Thanks,
Sarabjeet
--
Datameet is a community of Data Science
To capture experiences of patients and their families with COVID, we could
create a simple questionnaire that can be rolled out digitally to those who
would want to participate.
We can create stories that document their experiences which can be
subsequently published online. I'll be happy to put
Hi
I agree with Nikhil on many areas including the outsized impact this virus
has had on our society. I say outsized, because the number of deaths due to
COVID is far lower than the number of deaths due to road accidents in India
(~1290 / day pre pandemic).
There has been a complete breakdown in
There are three things we can explore with this data:
1. Visualisation of common migration patterns and how these deaths are
distributed.
2. States have handled the lockdown differently, so possibly look at
non-covid deaths by state.
3. The most vulnerable segments of our society have been
It might be possible to get some data on migrants going back to home states
through the railways.
For road migration, we could try and get data on the temporary camps that
the state governments had set up.
Another inexact way could be to check state government resources for the
number of
Hi
I'm new to the data meet group. Can you help me understand how I can
download the COVID data?
Thanks,
Sarabjeet
On Tue, Mar 17, 2020 at 2:02 PM Guneet Narula
wrote:
> Devdatta scraped it into a geojson :)
> On 17/03/20 1:17 am, Thejesh GN wrote:
>
> Looks good.
>
> @guneet
> I think it's a
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