HKU STAT3622 Data Visualization by Dr. Aijun Zhang
12 October 2017
What's covered in this lecture?
Form a team and draft a proposal:
iDataViz enables direct actions on a plot (e.g. mouse over, click, zoom, filter) to discover data information that may be otherwise hidden at the first sight.
In short, explore the details on demand.
It facilitates data-centered communcation and presentation.
It is often delivered in web graphics/html pages that are simple to view (by web browsers) and simple to share (by Email or URL).
PS: iDataViz also supports linking between multiple plots, i.e. connecting the elements selected in one plot with elements in another plot. This will be seperately discussed in next chapter on Shiny applications.