Visualizing with Text by Richard Brath;

Author:Richard Brath; [Неизв.]
Language: eng
Format: epub
Publisher: CRC Press (Unlimited)
Published: 2020-08-24T21:00:00+00:00

6.5 Stems and Leaf Interactions

Stem and leaf plots present individual observations which can be directly interacted with. In the prior example of Georgian London, the individual names associated with each case is visible and interactive. A tooltip provides the full summary sentence of the cause of death and verdict. A single click takes the viewer to an online scan of the original handwritten notes of the coroner.

As with many of the example implementations in this book, built-in browser-based searches can be used to find and highlight key terms – for example, many of the coroners’ cases involve children or unnamed individuals. A search for child immediately highlights all cases where “child” is indicated in the name, revealing common causes of death of children: stillborn, died after birth, suffocated, stabbed, or found dead.

Interaction can also be used to support larger volumes of data. For example, zoom can be used to show more detail or scale to show larger datasets. Filtering can be used to isolate categories of values. For example, filtering for accidental deaths reveals that falls are the most common accidental activity causing death, and the most common objects associated with falls are windows, houses, and stairs (presumably there are fewer safeguards on Georgian architecture).

Figure 6.21 shows both a filter (homicides, in pink text) and a search (child, highlight in yellow), thereby highlighting cases of murdered children, such as death from neglect, bleeding, or drowning.

FIGURE 6.21 A closeup of Figure 6.19 filtered to only homicides plus a search on the term child to identify murdered children.

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