Interactivity in a dynamic data visualisation
Lets viewers act on a visualisation, such as filtering, selecting or hovering, and the response must be clear and quick, e.g. a hover tooltip showing details.
Understanding Interactivity in a dynamic data visualisation in VCE Data Analytics U3O2
What it does: Highlighting the chosen option gives clear feedback, so the viewer can see their action has been registered. Interactivity means the viewer does something (filter, select, hover) and the visualisation responds. Hover details appear when the pointer rests on an element, giving extra information without cluttering the screen. Filters let viewers narrow the data shown to only what they want to see. The response must be quick. Long delays make viewers think nothing happened or that the tool is broken. A message tells the viewer what happened. A blank chart is unclear feedback and may look like an error. A slow response breaks the quick-response part of interactivity. The chart should update almost straight away.
Common mistakes: The filter must react when the viewer changes the dropdown. Using LOADS runs the code only once at the start, so the viewer's action does nothing. It should be WHEN dropdown CHANGES. Hovering should reveal the details in the tooltip. Calling tip.HIDE() on hover means the viewer never sees the details. It should be tip.SHOW().
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This module's key terms are also in a printable crossword (Modules 76–146) and word search (Modules 3–146).
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