Mutlifunctional Graphs in the wild
At Work
This is not in my world at work. All visualization must be very clear and easy to read as our clients are not data savvy. So, visualizations like the one below will have a ton of questions to explain the visualization. The historic map visual
The example above and in Tufte’s work are difficult to interpret. A legend will support viewers to interpret the visual but it takeaways from the primary discussion. If I were to show this visual to my clients, the following questions would come up instead that the original map is not accurate.
Is it only the latitude and longitudes of the previous map overlay on the Mitchell Map
What does the coloring on the map indicated?
Can this be a different color?
Accessibility issues in the visualization
Data based grids
Saves space on graph
Only showing the data that matters However, the viewers of this type of graph might not understand
Example 1| Plots without data based grids
Example 2| plot that have data based grids
At School
Heat maps are another way to visualize multiple aspects of the data in one plot without overwhelming the audience. For an example of a multi-functional graph, we can visualize the median income household income chicago’s DMA. The work can be found here