Innovative open data apps by students of the University of Bern
As part of the lecture “Open Data: Datenmanagement und Visualisierung” of the Research Centre for Digital Sustainability at the University of Bern, 29 student teams presented their innovative results yesterday. The apps and graphics they developed are mainly based on the open source JavaScript library D3.js and visualise data from numerous platforms, authorities, companies and other organisations.
The following list shows the results; where already available, the raw data is linked.
- Visualisation of project funding by the Tobacco Control Fund (TPF):
- Visualisation of aid funds of the Swiss Agency for Development and Cooperation (SDC):
- Visualisation of innovation activities in the Swiss economy with data from the State Secretariat for Economic Affairs (SECO):
- Visualisation of the load on public transport connections from employees of the Swiss Federal Railways (SBB):
- Visualisation of cantonal IT cost drivers with data from the Swiss Informatics Conference (SIK):
- Visualisation of compulsory school data from the Education Department of the Canton of Bern:
- Visualisation of the Grand Council elections in the Canton of Bern with data from Smartvote:
- Visualisation of discharge and temperature of 5 Swiss rivers with data from the Hydrology Division of the Federal Office for the Environment (FOEN):
- Visualisation of Swiss energy supply 2050:
- Visualisation of internet access data from Montemedia AG:
- Visualisation of data from the Swiss Open Government Data (OGD) portal:
- Visualisation of public finances in Switzerland with data from the Federal Finance Administration (FFA):
- Visualisation of the national debt of European countries with data from IMF e-Library Data and Eurostat:
- Visualisation of crime and unemployment data from the World Bank and Eurostat:
- Visualisation of transactions in Bitcoin and other cryptocurrencies with data from blockr.io:
- Visualisation of Twitter contacts using the Twitter API:
- Visualisation of cinema films with data from Rotten Tomatoes:



