Lecture 5 | Types of Data Visualization

Max Pellert

IS 616: Large Scale Data Analysis and Visualization

The beginnings

“The earliest seeds of visualization arose in geometric diagrams, in tables of the positions of stars and other celestial bodies, and in the making of maps to aid in navigation and exploration.”

“The idea of coordinates was used by ancient Egyptian surveyors in laying out towns, earthly and heavenly positions were located by something akin to latitude and longitude by at least 200 B.C.,

The beginnings

and the map projection of a spherical earth into latitude and longitude by Claudius Ptolemy [c. 85–c. 165] in Alexandria would serve as reference standards until the 14th century.”

Friendly, M. (2008). A Brief History of Data Visualization. In C. Chen, W. Härdle, & A. Unwin, Handbook of Data Visualization (pp. 15–56). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-33037-0_2

Heer, J., Bostock, M., & Ogievetsky, V. (2010). A Tour through the Visualization Zoo: A survey of powerful visualization techniques, from the obvious to the obscure. Queue, 8(5), 20–30. https://doi.org/10.1145/1794514.1805128

“Creating a visualization requires a number of nuanced judgments.”

“One must determine which questions to ask, identify the appropriate data, and select effective visual encodings to map data values to graphical features such as position, size, shape, and color.”

“The challenge is that for any given data set the number of visual encodings—and thus the space of possible visualization designs—is extremely large.”

1D data

If you have for example 10 data points, what would be the most direct way to visualize this?*

1D Scatterplot or “strip chart”

Problems?

1D “Jittered” Scatterplot

Using transparency (“alpha”)

Using empty symbols such as rings

https://r-charts.com/distribution/beeswarm/