In seiner Funktionalität auf die Lehre in gestalterischen Studiengängen zugeschnitten... Schnittstelle für die moderne Lehre
In seiner Funktionalität auf die Lehre in gestalterischen Studiengängen zugeschnitten... Schnittstelle für die moderne Lehre
The starting point of my project was a report by the German Environment Agency in 2021 on annual emissions data by sector since the 90's until 2019.
My dataset consists of 30 tables with around 160 rows by 140 columns – really massive.
First I started with a summary on the annual emissions by the Bundesumweltamt but realised, that I have massive gaps in the 90's. Then I found the original report, published by the European Environment Agency with a lot more data – including high resolution categorisation. Nevertheless I only included the pollutants mentioned in the summary and excluded all heavy metals. This was because I already had a design and a working visualization.
I cleaned the data using jupyter notebooks and prepared a lot of different tables for the final web application – for instance: summing up categories so the browser does not have to lift this load.
First I tried to fit my visualization project with force to the topic of the course, but failed. My data was not really suited for a network viz.
I tried different pictorial solutions but they all lacked clarity and the possibility to really explore this dataset.
In the end I reiterated many many times between development and going back to the drawing board trying out new stuff.
Here are some failed design examples:
In the end I am quite satisfied with the result. As I mentioned it does not really fit the course topic but for the real first steps on data viz ground I am quit pleased.
This semester ignited my interest in data visualizations and I am curios what will come in the future.