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)

Evaluate responses using AI:

OFF

Identify the data visualisation tools used in the screenshot.

a

b

c

Conditional Formatting

VLOOKUP

Chart

Goal Seek

Match

Table

Concatenate

Pivot Chart

Forecasting

Pivot Table