Global Emissions Observer (GEO)
A Semester Project in the open data lecture
This visualization was created by two students during the Open Data lecture. The project was conducted without a data coach. We use the data from gapminder.com, a portal that promotes factual education of the population through data. With our visualization we show how countries compare to each other in terms of emissions. The most interesting thing is that it always depends on how you look at the data. For greenhouse gases in absolute numbers, the most populous country, China is the worst. But when you look at the figures per inhabitant, the picture looks very different. Rich countries like Switzerland, for example, are no longer in a good position. If you now look at the whole per capita figure in terms of gross domestic product, the rich countries are in a good position again. Our conclusion from this project is that data can always be chosen in a way that serves the purpose or argument that is needed.
Emissions by Type
Click here to explore an interactive dynamic world map which shows differenet categories of emissions.
Emission by Country
Click here to explore an interactive dynamic world map which shows you how well a specific country performs. You can analze their best and worst emission category. In addition to that you can distort the visualization to represent the country at its absolute worst or best.
Emission by Type
This interactive visualization serves to understand that different countries score very differently compared to each other when considering different forms and perspectives of emissions
Please choose an Emission Type
Information about data
We got our data from the world famous portal for data, Gapminder.com This platform is from bestselling
author Hans Rosling.
Link to the data
Disclaimer: We would like to point out that the calculations for the visualizations are not perfect but sufficiently good due to the performance optimization. That means for reliable data you should use the original data from Gapminder.
Emission by Country
With this visualization we want to draw attention to the manipulability of data. To look good, you just
have to take the right data and display it correctly (or incorrectly). Or as Ronald Coase put it more
appropriately:
Please choose any country and you will see the difference it can make when picking certain data and displaying it in a certain way. Adjust the slider below and see what happens.
The ranking is being calculated
Please choose a Country
Please select a Stage
Information about data
We got our data from the world famous portal for data, Gapminder.com This platform is from bestselling
author Hans Rosling.
Link to the data
Disclaimer: We would like to point out that the calculations for the visualizations are not perfect but sufficiently good due to the performance optimization. That means for reliable data you should use the original data from Gapminder.
The projects source and information about how to extend this are found on the GitHub repository
Creators: Adrian Joerg (adrian.joerg@students.unibe.ch), Olivier Staehli (olivier.staehli@students.unibe.ch)