Unit 7 Flashcards
Use lines to:
Examine trends in deviations across interval units
Bullet graph background fill
Typically darker means worse performance in what graph
Bullet Graph in Tableau For Process Data
Shaded Regions Represent 60% and 80% of Target
Color Coding Performance bars is ok or not?
OK
Do not color code regions because why?
Too many colors means nothing stands out!
Few Recommends what with bullet graphs??
Black Bars with Colored Dots to Call out Critical Values
Use ____________for Multiple Entities
Bullet Graphs
DO NOT DO When everything is in color, nothing stands out
Dont do this with the colors on graphs for different units
Try comparing the three sites using the gauges. Ask the following questions:
How much better is the first and the third (in an intuitive sense and numerical sense).
Visually, the gauge does not convey this information well, especially when compared to the bullet/bar graph below.
Use ________graphs for direct comparison
Plot deviations can be used for what
Use __________ or ____________to Show Raw Numbers
Tool tips or labels
Use ____________ to Display the Same Data in Different Ways
Dashboards
use ______,______________,and________- to indicate that lower is better
SORTING, COLOR, and TEXT
But note that sorting ordinal or interval data may confuse the viewer.
Here we sort nominal data, so we are ok.
Ordinal and Interval can still be sorted, but be sure to communicate this to the viewer.
Indicating_________is Better in Bullet Graphs
LOWER
bullet graphs
[reverse background fill (from light to dark)]
[reverse background fill (from light to dark) and the X axis]
Different Measures with Reversed and Normal Scales
For the first two metrics lower is better, so the scales are reversed along with reference shading. Here, I’ve used the darker gray palette from Tableau to highlight good and bad reversal.
Evaluate Visualizations in Context: Note effect of reducing colors
Few Suggests Colored Dots to Highlight Critical Values
Tables: Add Deviation Information and Rank
We can display the same information in a table with the actual deviation shown. Good/bad direction is still not clear here