Chapter 2: Data visualisations

Data visualisation is useful when you want

• A detailed data for analysis.

• to explain complex statistics to laypeople.

• to liven up a dull presentation.

• to clearly see trends and patterns in data.

A data visualisation can be used to

• sell, teach or entertain.

• inform, persuade or educate.

• deceive, persuade or educate.

• explain, argue or manipulate.

Data visualisation can be described by which two categories?

• Exposition and explanatory

• Demonstration and exhibition

• Explanatory and exploratory

• Educating and entertaining

The visual representation of data helps by

• making data more detailed.

• calculating information that the data alone could not yield.

• compressing masses of data into a small, meaningful shape.

• making attractive charts.

The best type of visualisation to show the number of hours spent sleeping, working and relaxing in one day would be a

• scatter chart.

• bar graph.

• line graph.

• pie chart.

The best choice of chart to compare data trends over time is a

• pie chart.

• scatter chart.

• nautical chart.

• line graph.

A pie chart is appropriate when

• you have at least ten categories.

• your data is sorted from largest to smallest.

• you need to show parts that total 100 per cent.

• you need a colourful graphic for a report title page.

When you have many data points from an unknown dataset, you should

• calculate the mean and median.

• plot all the data.

• calculate the mode.

• plot a trend line.

Why might an immersive view (using VR) be a good choice of chart?

• The viewer can interact with the data by getting in between the data points.

• VR viewers create realism and excitement.

• VR is popular and shows you have the latest technology.

• 360° shows all sides of the data that a 2D pie chart cannot.

Dynamic data visualisations occur when the

• data can be updated.

• chart includes virtual reality elements.

• chart is interactive.

• chart has animations and 'moves'.