During the course "Information Visualization" supervised by Prof. Marian Dörk I developed an Information Visualization based on a dataset provided by the World Bank about the country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement. The time series provides insights about observable trends and policies an delivers a bigger picture on the topic sustainability.
The aim of this project for me was to work out the whole process of developing a data visualization from scratch to delivery. I wanted to develop new skills in the area of datavisualization and develop a playful way of learning relevant and necessary technologies to accomplish this goal. Further I wanted to deliver a visualization which can be enjoyed on any device without restrictions.
In the first days of the project I put a lot of effort into visualizing the different dimensions contained in the given dataset. I seeked for unusual patterns in the graphs of some countries in order to find clues about interesting narratives in the data. Although the topic of sustainable energy is such a complex topic some graphs immediately catched my attention.
The dataset provides data to almost every country and the idea came up that it was most interesting to compare each country another to recognise differences in their development. The guiding question of my research was: How does the recognition of sustainability change in each country? To answer this I decided to show all countries given data to allow the user to explore the data by themselves.
I also added some metadata to display for each country, to put it into context. In addition to the individual differences of the countries I recognised that it’s imported to account economical, and geographical properties to get a clearer impression of the impact of certain values.
The most valuable information inside the dataset is the historical depth of twenty years of data collection to identify developments rather then just current states. Especially dimensions of renewable energy consumption versus production gives a lot of information about the political direction and supporting agendas.
In terms of readability and descriptions I wanted to implement annotation points to guide the viewer to interesting data points while providing a visualization which invites the user to explore the data on their own and enjoy more options to interact with the data to gain insights.