Unit 2 - 3.5/6 Tools & Systems

Which of the following is an example of a data table?

• A pie chart showing sales of five leading trainers

• A database table of patients

• A line graph of last year’s sales per month

• A map tracking the movement of shipping containers

What is the primary purpose of data visualisation?

• To store large amounts of data

• To identify trends and patterns

• To present data in a graphical format

• To clean and organise data

Which tool would you use to identify trends and patterns in data?

• Data cleaning

• Geographic information system

• Line graph

• Data table

What is data cleaning?

• Creating a pie chart to show sales

• Removing customers who have not made a purchase in the last two years

• Tracking the movement of shipping containers

• Storing data in a database table

Which of the following is an example of a geographic information system?

• A database table of patients

• A pie chart showing sales

• A map tracking the movement of shipping containers

• A line graph of sales per month

What is an open system in the context of information systems?

• A system that does not interact with its environment

• A system that interacts with its environment

• A system that is closed to external data

• A system that is only accessible to authorised users

Which of the following is a characteristic of a closed system?

• It is open to external influences

• It interacts with its environment

• It is isolated from its environment

• It is always accessible to the public

What is a benefit of using an open system?

• It is completely secure from external threats

• It can adapt to changes in the environment

• It requires no maintenance

• It is easier to manage due to its isolation

What is a limitation of a closed system?

• It is highly adaptable

• It is vulnerable to external changes

• It cannot interact with its environment

• It is always open to external data

Which of the following is a benefit of data cleaning?

• It increases the amount of data stored

• It improves data accuracy and quality

• It creates visual representations of data

• It identifies trends and patterns