Bench suggests that visualising data in different ways enables:Group of answer choicesThe same information to be highlighted, but in ways that appeal to different peopleA different component of the underlying data to be highlighted each timeThe researcher to save time by presenting the same thing multiple times

Highlighting key objectives of visualizations and how they help:There's no need to highlight findings; the data speaks for itself.Make your visuals appear more cluttered.Draw attention to the most important insights from your data..Confuse your audience with additional information.

For Bench’s project, data is most meaningful when it is:Group of answer choicesPresented as a visualisationOrganised as a setArranged as both a set and a visualisation

How the expression, recognition and cognition aspects of Data Visualisation are related the three main challenges (i.e., Verification, Search space, and On-time  Responses)

Imagine you are sharing your data with a company stakeholder. Why might you display data with a data visualization instead of a table? Select all that apply.1 pointIt thoroughly describes each data pointIt’s aesthetically pleasingIt helps them identify trends more quicklyIt’s easy to understand

What are some key benefits of data visualizations? Select all that apply.1 pointGraphs and charts help people understand complex data.Visuals enable data professionals to more effectively share insights with others.Data visualizations are more engaging than tables and numbers. Visualizing data ensures findings are unbiased.