Data is raw facts and figures — numbers, words, or observations — before they've been organised into something meaningful. Information is data that has been organised and given context, so it becomes useful. Collecting data (like a class survey) and organising it into a chart or graph turns raw numbers into information that's easy to understand and use for decisions.
Example
Recording each student's favourite sport one by one is data. Organising those results into a bar graph showing how many students like each sport turns that data into information — much easier to read and compare at a glance.
Key terms
Data:
Raw facts and figures before they are organised.
Information:
Data that has been organised and given context to be useful.
Graph:
A visual way of organising and displaying data.
Questions
1. Data is best described as:
Raw facts and figures
Always a picture
A type of hardware
A password
2. Information is:
Data organised to be useful
The same as hardware
Always incorrect
A type of loop
3. A bar graph is an example of:
Organised information
Raw, unorganised data only
A password
A CPU
4. Recording each student's favourite colour one by one is an example of:
Collecting data
A finished graph
A password
A loop
5. Turning raw data into a chart makes it:
Easier to understand as information
Harder to understand
Illegal to use
A type of hardware
6. Which is an example of raw data?
A list of temperatures recorded each day
A finished weather report summary
A weather app icon
A cloud
7. Graphs and charts are useful because they:
Make data easier to compare and understand
Make data harder to see
Delete the original data
Only work for numbers, never words
8. A survey asking classmates their favourite sport, before being organised, is:
Data
Already information
A password
A CPU
9. Once that survey is organised into a graph showing totals per sport, it becomes:
Information
Meaningless
A virus
Hardware
10. Which best shows the difference between data and information?
Data: "5, 3, 8, 2"; Information: "5 people like red, 3 like blue..."
Data and information are always identical
Information always comes before data
Data is only ever a picture
11. A pie chart is useful for showing:
How different parts make up a whole
Only text, never numbers
Passwords
CPU speed only
12. Collecting temperature readings every hour for a week and then averaging them turns data into:
Useful information (e.g. average weekly temperature)
Nothing useful
A virus
A type of hardware
13. Why might a business collect customer data through a survey?
To turn it into information that helps make decisions
Surveys have no real use
To make the business slower
Only for fun, with no purpose
14. A line graph is especially useful for showing:
Change over time
A single number only
Passwords
Hardware components
15. Why can raw, unorganised data sometimes be misleading or hard to use on its own?
Without organisation, patterns and meaning can be difficult to see
Raw data is always perfectly clear
Data never needs organising
Only graphs can exist, never raw data
16. A company analysing years of sales data to spot seasonal trends is an example of:
Turning data into useful information for decision-making
Randomly guessing without any process
Deleting information on purpose
Ignoring all patterns
17. Which chart type would best show how a class's test scores are distributed across grade ranges?
A histogram or bar graph of score ranges
A single number with no chart
A password list
A line graph of student names
18. Why is it important to collect data accurately before turning it into information?
Inaccurate data leads to misleading information and poor decisions
Accuracy never matters in data collection
Information is always correct regardless of data quality
Data collection has no impact on outcomes
19. A weather forecast is an example of information because it:
Organises collected data (temperature, pressure, etc.) into a useful prediction
Is just random raw numbers with no analysis
Has nothing to do with data at all
Is the same thing as a single data point
20. Which best explains why organisations often prefer visualising data (graphs/charts) over long lists of raw numbers?
Visuals reveal patterns and trends more quickly than raw lists
Visuals always hide the truth
Raw lists are always clearer than any chart
Charts remove the need for any real data
21. A spreadsheet with columns for name, score and date is a simple example of:
Organised data ready to be turned into information
A type of hardware
A password manager
A loop
Answer key (parent copy)
1. Raw facts and figures
2. Data organised to be useful
3. Organised information
4. Collecting data
5. Easier to understand as information
6. A list of temperatures recorded each day
7. Make data easier to compare and understand
8. Data
9. Information
10. Data: "5, 3, 8, 2"; Information: "5 people like red, 3 like blue..."
11. How different parts make up a whole
12. Useful information (e.g. average weekly temperature)
13. To turn it into information that helps make decisions
14. Change over time
15. Without organisation, patterns and meaning can be difficult to see
16. Turning data into useful information for decision-making
17. A histogram or bar graph of score ranges
18. Inaccurate data leads to misleading information and poor decisions
19. Organises collected data (temperature, pressure, etc.) into a useful prediction
20. Visuals reveal patterns and trends more quickly than raw lists
21. Organised data ready to be turned into information