Having considered the most common types of plots, we turn to rarely-seen types. In this first set, we will see examples of bump, segment and parliament plots.
Morrison Foerster GCDisruption 2017 [pg. 7] introduces a bump chart (also known as a slope graph, bipartite graph or Tufte chart). A typical bump chart has two columns of data. Lines extend from points on the left column to their counterpart on the right column. The slope of those lines convey the degree of change. Here, only two of the five issues changed position, and this unusual chart type emphasizes the change. Any time there is a change of rankings or position year-over-year, a bump chart might be pressed into service.
Pepper Hamilton PrivateFunds 2016  gives an example of a waffle plot. These are essentially square pie charts, but instead of wedges of a circle, groups are represented by sets of squares. Waffle plots shine for showing parts-to-whole contributions, highlighting the individual points that make up the larger whole. They are problematic when exact percentages are vital.
This waffle chart breaks assets under management (AUM) of the participants into six ranges. It colors the number of rectangles in the plot in proportion to how many respondents are in each range. So, for example, since there is only one block, in the lower right, colored blue and matching the legend of “More than $10bn,” only one percent of the respondents had that amount of assets under management.
A segment plot, such as the one seen in Morrison Foerster GCsup 2017 [pg. 9], conveys ranges of data. In the example, the left end of the segment starts at the percentage who spend “Substantial Time” on an issue and ends on the right at the percentage who regard it as “Very Important.” Thus, at a glance the reader can compare positions and values for all five issues.
Ranges are really bar charts that do not have a single lowest point on an axis; they are “floating” bars that extend perpendicular to levels on the y axis and extend for different amounts (lengths) on the x axis.