Janaganana(https://countingindia.com/) is a Django application for exploring census and other similar data. It makes it easy to understand a place through the eyes of the data, and to explore data across a range of places. It is most suited for census data but can easily be used with other data that is similarly focused on places in a country.

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 (https://www.niemanlab.org/2012/10/knight-funding-expands-ires-journalist-friendly-census-site/). You can also find Censusreporter on GitHub (https://github.com/censusreporter/censusreporter).

1. Django Web Framework(1.9)
2. memcache(Caching the results for a week).
3. supervisor
4. fabric
5. Deployed on AWS(ubuntu) with RDS(Postgres)
6. Pandas- Extensively used to clean and transform the data.All jupyter IPython Notebooks can be found here(https://github.com/mthipparthi/janaganana-data)

1. clone the repo : git clone https://github.com/mthipparthi/janaganana.git
2. cd janaganana
3. virtualenv env
4. source env/bin/activate
5. pip install -r requirements.txt

You will need a Postgres database:

createuser -P factlyin
createdb -O factlyin factlyin

psql -U postgres
grant all privileges on database factlyin to factlyin;

Run migrations to keep Django happy:

python manage.py migrate

Import the data into the new database (will overwrite some tables created by Django, but that's ok).

cat sql/*.sql | psql -U factlyin -W factlyin

Start the server:

python manage.py runserver

Janaganana code is licensed under the MIT License.