Data Visualisation Accuracy

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Date:

📊 Part 1: Identifying Missing Information

1. Which of these is MOST important for accurately interpreting a bar graph?

Bright colours

Labelled axes with units

3D effects

Large font size

2. A line graph shows "Temperature over Time" but has no units on the y-axis. What problems could this cause? (Select all that apply)

We don't know if it's Celsius or Fahrenheit

We can't compare it to other temperature data

The graph looks less colourful

We might make incorrect conclusions

3. What does "missing data" mean in statistics?

Information that wasn't collected or isn't shown

Data that is written too small to read

Graphs without bright colours

Charts printed on white paper

4. A pie chart shows "Favourite Sports" but doesn't include a source. Why is this a problem?

We can't tell ________________________________________________

✏️ Part 2: Explaining Impact

5. Imagine a bar graph titled "Student Heights" with no scale on the y-axis. Explain in 2-3 sentences how this affects interpretation.

6. A graph shows "Sales Increase" but only shows data for 3 months instead of the full year. Complete this sentence:

This missing information could be misleading because _________________________________

_________________________________________________________________________

7. List three essential features that every accurate data visualisation should include:

a) _________________________________________________________________

b) _________________________________________________________________

c) _________________________________________________________________

🔍 Part 3: Critical Evaluation

8. Imagine you see this graph description: "A bar chart showing 'Popular Breakfast Foods' with bars of different heights, but no numbers on the y-axis, no source information, and the title doesn't specify which age group was surveyed."

Your task: Write a critique of this data visualisation. Use the sentence starters below to help structure your response.

What information is missing?

This data visualisation is missing _______________________________________________

_________________________________________________________________________

How does this affect interpretation?

Without this information, readers might ________________________________________

_________________________________________________________________________

What could go wrong?

Someone looking at this graph could incorrectly conclude that ___________________

_________________________________________________________________________

How could it be improved?

To make this visualisation more accurate, it should include ____________________

_________________________________________________________________________

Data Visualisation Accuracy

Data Visualisation Accuracy

📊 Part 1: Identifying Missing Information

✏️ Part 2: Explaining Impact

🔍 Part 3: Critical Evaluation

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