Understanding Data Visualisation Techniques

Aria is working on a software application that manages large datasets for her company. She is considering integrating data visualisation tools into the application. What is a primary benefit Aria can expect from using these tools?

• They automatically correct data entry errors

• They help users to better understand patterns and trends in datasets

• They increase the amount of data stored

• They replace the need for data analysis

Emma is working with a large dataset in a spreadsheet and wants to quickly identify trends and patterns. Which features of spreadsheets would be useful for her analysis?

• Charts

• Conditional formatting

• Pivot Table

• Find and Replace

Combining data from multiple sources in a spreadsheet is useful because:

• It reduces the need for data backup

• It allows for more comprehensive analysis and trend tracking

• It reduces file sizes freeing up storage

• It makes the data easier to interpret

Which spreadsheet feature can be used to automatically update charts when new data is entered?

• Data validation

• Dynamic ranges

• Manual recalculation

• Print area selection

Anna is designing a dashboard to show sales data for her company. Explain the design features that Anna has employed to enhance understanding of the data. (5 marks)

Identify the data visualisation tools used in the screenshot.

a

b

c

Goal Seek

Match

VLOOKUP

Table

Pivot Chart

Forecasting

Pivot Table

Conditional Formatting

Concatenate

Chart