In the context of data visualisation, which characteristic best describes dynamic visual variables, and why are they valuable in conveying complex data patterns?Group of answer choicesDynamic visual variables involve static visual attributes that remain unchanged over time, offering stability in data representation.Dynamic visual variables include attributes like motion, animation, and color transitions that change over time, aiding in the communication of dynamic and temporal data patterns.Dynamic visual variables encompass interactive elements that enable real-time user data input, enhancing engagement but complicating data interpretation.None of themDynamic visual variables refer to color choices that adapt automatically to user preferences, ensuring a personalized visual experience.

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)

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

A visual representation of information to understand the high-volume and complex data easily, e.g., graphs, charts.Select one:a.Multimediab.Cartoonsc.Mediad.Infographic

Which Plotly feature allows you to create animated visualizations over time?Group of answer choicesPlotly AnimationThere's no support for animations in PlotlyTimeSliderMotion chart

How would YOU visualise those data differently? Using the symbolic representations from Semiology of Graphics, describe and explain how you would define the imposition of your visualisation, and how you would assign each data type to various visual variables.