Data visualization makes data tangible, and offers a solid basis for decision making
STORY TELLING WITH DATA VISUALIZATION
We as humans experience the world as a collection of stories. Data is a valuable representation of what is going on in the world, but if you ask someone about whether they prefer a raw data set or a catchy story, the choice is easily made (for most people). The goal of telling a story is not only making them understand what is going on, but also making them act accordingly. You can do this with words and images, but can you also do this with data?
There are many opportunities for converting data into appealing stories. Send a message to firstname.lastname@example.org for more information, or continue reading...
"Having the data is not enough. You have to show it is ways that people enjoy and understand"
Soda's Data Storyboards are interactive web applications which transfer a concrete message in one overview using data visualization. Data exploration and analysis may proceed the development of a Data Storyboard.
Placing data in geographical context allows exploiting people's spatial knowledge.
Adding interactivity enables people to play with the data, resulting in better comprehension of the story
Data storyboards are always easy to access and share through a URL
We developed a Data Storyboard solution to display the refugee crisis in its geographical context. This is a great example of how interactive web applications can offer solutions for communication of complex problems.Thousands of distinct observations are visualized on the map, and are clustered based on location. Clusters split up when zooming in. One can click on a cluster to display specific data on causes of death in the bar chart. Additional information pops up when clicking on individual observations. Click here for the full version.
The 144.5 million square kilometer surface of our planet as we know it, can be subdivided into a hierarchical structure of regions. Our planet exists of five continents. Each continent exists of a collection countries, which then again contain provinces, and municipalities (which contain neighborhoods and streets). It is very convenient to make use of this hierarchy in data visualization. As implemented below, we can subdivide our country in provinces, and color each province based on a characteristic that exists in the data set. If you require more detail, one can zoom in on the map, and the level of aggregation changes from provinces to municipalities.
Some problems can be linked to the road network. For example, think of a mapping biking behavior in a city to form a solid foundation for biking infrastructure optimization.
OTHER VISUALIZATION OPPORTUNITIES
In addition to maps, there is a large availability of visualization opportunities that can be used to transfer a message, such as graphs. Have a look at our project with PharmAccess to see some examples on this.
Another example is shown below. This graph is constructed to present the relationship between income and life expectancy in one view, for all countries. The colors indicate the continents that the countries originate from, and the size of the marker indicates the size of the population of the country. Pressing 'Play' starts an animation, showing the general trend in this relationship from 1952 to 2007. We can observe a general movement from countries that go from the left bottom (low income, low life expectancy) to the top right (high income, high life expectancy). Some exceptions occur as well, such as the Aids epidemic in Africa at the end of the previous century. This relationship becomes more apparent when double-clicking Africa, de-selecting the other continents, and then pressing Play.
Do you want to learn more about which visualizations are the most powerful for transferring your message? Make sure to get in contact with email@example.com