FACTLY (www.factly.in) was founded with a vision of making public information & data meaningful to the common man. Towards this end, we have launched the beta version of our first data tool ‘Counting India’ (http://www.countingindia.com/). Counting India (CI) is Factly’s attempt to bridge the gap between the facts and the narrative. It is our attempt to process the data available and present it in a way you will understand. It is a journey that can take you as far as you want, from Kashmir to Kanyakumari with a special set of eyes. Eyes that will crunch the numbers, create personalized data visualization on key demographics and eyes that cannot lie.Counting India makes data related to the States/Districts in India more accessible and understandable. The primary source of data for CI is the Census of India 2011 and otherofficial sources. In CI, one can compare any two States/Districts side by side. One can also embed, access or download the data.Features of Counting India• CI currently has data of States & Districts (as per the 2011 census) on Demographics, Religion, Education, Marital Status, Age group & Workers. We will continue to add more datasets in the future.• Census data is massive, and sometimes it’s hard to find the table you’re looking for. Search by table and column keywords.• We want to help you tell great stories. Maps and distribution charts help uncover what’s interesting, so you can take it from there.
What makes this project innovative?
Data, especially Census data is hard to understand because of the complex notations though it is accessible to a host of stake holders. At the same time, most journalists need basis census data like demographics, education, religion etc related data for multiple stories. There is no reliable and ready to use solution that can help them get this data at the click of a button. Counting India addresses that problem by making the interface very very simple & easy to use. Hence it adds a whole new dimension to Census Data in India. Further, the effective visualizations, maps make it all the more interesting not just for a journalist, but even for a common citizen. The innovative approach also lies in the fact that one can compare two regions instantly in Counting India and get an idea of the differences & similarities in those regions.
What was the impact of your project? How did you measure it?
The tool is used by about 20-30 people every day and expect it to go up further in the coming days. Though it is a small number, the time each one spends on the tool is very high. Each one spends upwards of 5 minutes on the tool understanding various aspects of it. The impact is evident from the emails we receive from users that the data they were looking out for was easily available. We get testimonials, request for other data etc. Thats how we measure it.
Source and methodology
All the data is sourced from the Census of Government of India (http://censusindia.gov.in/)
It is a Django application for exploring census and other similar data. It is the Indian instance of Wazimap. Wazimap is a fork of the excellent Censusreporter (https://censusreporter.org) project which was funded by a Knight News Challenge grant (http://www.niemanlab.org/2012/10/knight-funding-expands-ires-journalist-friendly-census-site/). Django Web Framework(1.9)memcache(Caching the results for a week).supervisorfabricDeployed on AWS(ubuntu) with RDS(Postgres)Pandas- Extensively used to clean and transform the data.All jupyter IPython Notebooks can be found here(https://github.com/mthipparthi/janaganana-data)
Shashi DeshettiMahesh ThipparthiArun Siluvery