Data Visualisation and Analysis Quiz

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.

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.

To avoid confusion between formats and conventions, it’s best to remember that

• a format defines visual features, such as bold or italic, and a convention defines non-visual features, such as how statistics are calculated.

• a format is a chosen method of presenting data, such as a chart or a table, and a convention is the accepted rule for producing that format; for example, the fact that you should label the axes on a graph.

• they are basically the same thing.

• once you choose a convention to use, that convention has several formats that you should follow.

Proofreading work to ensure data has been entered correctly is best described as:

• testing.

• checking.

• validation.

• verification.

The Victorian Department of Automation offers staff the opportunity to have their heart rate monitored during working hours. The Department stores the data collected, including the staff member’s name, date of birth and heart rate. What legislation applies to the collection and handling of this data?

• Privacy Act 1988 only

• Health Records Act 2001 only

• Health Records Act 2001 and the Privacy Act 1988

• Health Records Act 2001 and the Privacy and Data Protection Act 2014

A client complained that a data visualisation was inefficient. Which of the following could be a reason for this complaint?

• The fonts are too large.

• It took too long to create.

• There is insufficient contrast.

• It contains erroneous information.

Which of the following is a benefit of using the metric system in data representation?

• It is based on multiples of 12, making calculations easier.

• It is universally accepted and used in scientific communities.

• It allows for more precise measurements than other systems.

• It is easier to convert between units compared to the imperial system.

What is the primary purpose of using a trend line in data analysis?

• To highlight individual data points.

• To show the overall direction or pattern in the data.

• To calculate the average of the data points.

• To make the graph more visually appealing.

In data visualisation, why is it important to label the axes on a graph?

• To make the graph look more professional.

• To ensure the data is interpreted correctly by the audience.

• To fill up empty space on the graph.

• To add more information than necessary.

Which of the following is a common mistake when creating data visualisations?

• Using too many colours, making it hard to distinguish between data sets.

• Using a consistent scale for all graphs.

• Ensuring all data points are clearly visible.

• Providing a legend for all symbols used.