This is part of a statistical and geodata toolbox developed by SmartUse GmbH to make work with statistical and geographical data frictionless and accessible.
To get started, clone this repository.
git clone git@github.com:smartuse/toolbox-gwr.git
cd toolbox-gwr/
To generate the datapackages with csv based definitions by the Swiss Federal Office for Statitics on Building Periods
, Heating
and Energy source
you need Python 3.7 as well as dataflows
, lxml
and pandas
. To install run
pip3 install dataflows lxml pandas
or
pip3 install -r requirements.txt
To finally generate the files simply run
make
make
and make all
will generate:
data/bfs/gwr-gbaups
(Building periods)data/bfs/gwr-genhzs
(Heating energy source)data/bfs/gwr-gheizs
(Heating type)
Thorben Westerhuys, SmartUse GmbH
Data source is the Swiss Federal Office of Statistics, GWS, 2009.
This package is licensed by its maintainers under the Public Domain Dedication and License.
If you intended to use these data in a public or commercial product, please check the data sources themselves for any specific restrictions.