This is our final project for the Data Visualization course at Freie Universität.
Last updated: 21.02.2020 By Fabian Rüb and Kevin Kreutz

In this Visualization we compare the number of projects funded by the DFG between the 16 german states and some additional data to examine the reasons behind the differences.

I. Data manipulation
II. Short overview of design process and munzner model
III. Munzner model
IV. Sources for Visualization
V. Manual (Screencast)
VI. Validation

There are 16 different states in Germany. Each has its local government and, therefore, interests.
Universities and research facilities in Germany depend on funding from the government and also external funding.
With this visualization, we want to examine which states funded the most projects (through the DFG) and how the quantity of project funded changed over time.

About the DFG:
The Deutsche Forschungsgemeinschaft (DFG) had a budget of 3.4 Billion Euros in 2018. 2/3 come from the federal government. 1/3 come from the states.

Source: https://www.dfg.de/dfg_profil/jahresbericht/

1. Clone this rep in your console (install git beforehand) or download it directly (green button) Console: "git clone https://github.com/FabiAndHisCoffee/Data_Vis.git"
2. Go to the folder *./Data_Vis/bar_race and open a console:
   type "python -m http.server" + some number (for example python -m http.server 1234)
3. open "http://localhost:" + the typed number ( http://localhost:8000 if no number given)
4. Enjoy

Source: https://stackoverflow.com/questions/38497334/how-to-run-html-file-on-localhost
The Installation-manual from observable-hq, can be found here (but is jsut an additonal resource): obersable-hq

We also hosted our Visualization to this site: enote.space

Fabian Rüb (FabiAndHisCoffee)
Kevin Kreutz (Parkcross)

Data derived from original data provided by https://gepris.dfg.de (c) Deutsche Forschungsgemeinschaft