Hi,
Can you post a sample of the dataset?

On 14/01/2013, Nisha Thompson <nisha.thomp...@gmail.com> wrote:
> Hi everyone,
>
> At India Water Portal, my colleagues Ragini, Bala and I are working on a
> data project with Keystone Foundation <http://keystone-foundation.org/> in
> the Nilgiris, Tamil Nadu. (Where Bala works) Keystone's programs are
> focused on the intersection of livelihoods, enterprise, and environmental
> conservation, and it works mostly with the indigenous tribal population in
> the area.
>
> THE DATA
>
> There are several different kinds of data. The major categories are weather
> (humidity, temperature, rainfall, wet days), water quality, sediment rate,
> land use, and community water supply/systems. Each of these has a location
> (a village, a station, or a region), and most also have a date range. The
> data that is easily correlated (i.e. data from the same time period and the
> same location) is often in different Excel sheets.
>
> We have tried aggregate this data by location by individually going through
> each sheet and figuring out a) the data type, b) the location, and c) the
> date range. I've also aggregated some of the water quality data (from the
> DFiD study and the every-other-month data, May 2005-Dec 2008, from the
> Sigur water project) into one Excel sheet.
>
> Almost all the data is in Excel sheets, but there may be some additional
> data buried in Word documents. Data is missing in some places and the
> parameters change over time, especially during longer date ranges.
>
> THE PROBLEM
>
> How do we label, tag, and/or compile this data into a usable format? Right
> now, the data is in different formats, with different headings,
> misspellings, and inconsistent formatting. Google Refine can help with some
> of these tasks, but the general problem is larger: there are many variables
> and parameters, so what is the best way to organize all of this
> information? We'd like to have a robust but simple-to-use system that can
> handle complex queries in a way that is easy to understand for laypeople.
> We're unclear on what exactly can be done with this data, and organizing it
> properly will go a long way towards helping us conceptualize possibilities.
>
>
> Any tools that you guys know about that could help us out with this?
>
> Nisha
> --
> Nisha Thompson
> Mobile: 962-061-2245
>
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-- 
Regards,
Johnson Chetty

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