Y12 EC Data Visualisation M6set1 Quiz

What are some purposes of data visualisation?

• To make data easier to understand

• To tell a story with data

• To highlight important results

• To store data securely

How do software features help with data visualisation?

• Spreadsheets can create charts to show trends

• Creative design apps make visuals more appealing

• Combining apps helps track trends over time

• Software deletes old data automatically

What can you do to find patterns in data?

• Compare datasets to spot trends

• Look at data for an enterprise issue

• Use data to predict future outcomes

• Ignore social or ethical issues

How has the evolution of hardware and software affected data analytics?

• Faster processing power helps analyze data quickly

• More storage allows saving bigger datasets

• Better communication media shares data easily

• Old hardware works better than new hardware

What is true about online analytical processing (OLAP)?

• It helps analyze data from different angles

• It works online with databases

• It supports quick data summaries

• It only works with small datasets

• It is used for fast decision-making

What should you check for data integrity in a visualization?

• The color of the data chart

• Risks of using wrong data

• If the data is correct and valid

• Where the data comes from

• Who owns the data

How does enterprise data warehousing help with data visualization?

• It only works with new data

• It connects old data with current data

• It stores historical data for trends

• It refines data to make it better

• It shows patterns over time

How does big data change data visualization?

• It only works with small datasets

• It shows different types of data

• It increases the amount of information shown

• It gives deeper insights from data

• It makes visuals more complex

What should you consider about bias in data visualisations?

• The size of the data file

• Unconscious bias in the data

• Where the data comes from

• Who the audience is

• If the data is accurate

Which software tools are effective for data visualisations?

• Custom software for special needs

• Presentation software for sharing data

• Spreadsheets for making dashboards

• Word processors for charts

• Business analytics services for deep analysis