IAT 461 / 882 · Data Science for Human-Centered Systems · Summer 2026 · Alireza Karduni
Instructor: Dr. Alireza Karduni · TA: Mehdi Jahani
Slides based on material by Prof. Emily Wall


8 guidelines that make or break visualizations
The easiest way to make your instructor grumpy about a design










Van Wijk 1999
Van Wijk 1999
Li 2007

Sometimes a simple list is enough


Perer 2008

Change over time
Slope graph / bump chart

Keep them on the screen
Ben Shneiderman’s Information Seeking Mantra
For modern accessible visualizations
For effective communication
Dangerous to start with aesthetics.
Very difficult to add function retroactively.
Masochist’s Teapot by Jacques Carelman
The Non-Designer’s Design Book 2015


In case of empty color cartridges


“Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space.”
— Edward Tufte
\[\text{Data-ink ratio} = \frac{\text{Data ink}}{\text{Total ink used in graphic}}\]
The proportion of the graphic’s ink devoted to non-redundant display of information.
People are more precise reading these.

People are less precise reading these.












Example 1
Let’s transform this chart

Our eyes have to move back and forth between the legend and the chart to find the appropriate line.

So we can potentially remove the legend from the top.

Now we can quickly find the different age categories in the chart.

We can use some of the text to directly annotate the chart.



If an element in the chart is important, we can guide the reader’s eyes with opacity and highlighting.

IAT 461 · Data Science for Human-Centered Systems · Summer 2026