Reporting with Data Visualisations
A visualisation is an argument. Which display you choose, and where you start the axis, decides what a reader concludes before they have read a single word of your analysis.
You have collected the favourite sport of 40 students and the height of the same 40 students. Sketch, roughly, the display you would use for each. Then say what goes wrong if you swap them: what would a histogram of favourite sport look like, and what would a pie chart of heights tell you?
The display must fit the variable, and the report must fit the question. Choosing a display is a statistical decision: it determines what comparison the reader can make easily, what they can make with effort, and what they cannot make at all.
Categorical → column or pie. Numerical → histogram, dot plot or box plot. Two numerical → scatter plot.
The second half is the axis. A bar chart compares lengths, so its value axis must start at zero or the lengths lie about the ratio. A line graph compares slopes rather than lengths, so a truncated axis there is often legitimate. The rule is not "always start at zero"; it is "start at zero whenever the reader will compare sizes".
Know
- Which display suits a categorical, discrete, continuous or paired-numerical variable
- The elements every chart must carry: title, axis labels with units, scale, sample size and source
- Why a bar chart's value axis must begin at zero
Understand
- Why choosing a display is a statistical decision rather than a decorative one
- Why a truncated axis is deceptive on a bar chart but often reasonable on a line graph
Can Do
- Choose and justify an appropriate display for a given variable and question
- Identify and repair a misleading chart
- Structure a report with several visualisations that together answer the aim
The variable type from Lesson 1 decides the display, and getting it wrong produces a chart that cannot be read.
| Variable | Display | Shows |
|---|---|---|
| Categorical | column graph, or pie if parts of one whole | which categories are common |
| Numerical discrete | column graph or dot plot | the distribution of counts |
| Numerical continuous | histogram or box plot | shape, centre and spread |
| Two numerical | scatter plot | whether they move together |
| One numerical, split by a category | parallel box plots | how groups compare |
Two rules follow from the table rather than being extra. A histogram has no gaps, because the intervals are adjacent parts of a continuous scale; a column graph has gaps, because the categories are separate. And a pie chart is only valid when the categories are mutually exclusive parts of one whole: "sports played" fails that test the moment one student plays two.
The chart above shows two values, $66$ and $78$, drawn twice. On the left the axis begins at $60$ and the second bar looks about four times the first. On the right it begins at $0$ and the bars are close in height. Neither chart contains a false number.
The difference matters because a bar chart is read by comparing lengths. If the axis starts at $60$, the drawn lengths represent $6$ and $18$, a ratio of $1:3$, while the real values are in the ratio $66:78$, about $1:1.18$. The chart makes a claim the data does not support.
A line graph is different. It is read by comparing slopes, and a truncated axis does not distort a slope, only its visual steepness. So starting a temperature line graph at $15°$ rather than $0°$ is often the clearer choice.
A chart a reader cannot check is a decoration. Five elements make it checkable.
A title that states the finding, not the topic. "Year 10 sleep and mathematics marks" names the topic; "Students sleeping over eight hours scored higher on average" states what the chart shows, and the reader can then verify it.
Axis labels with units. "Sleep" is not a label; "Mean nightly sleep (hours)" is.
A visible scale, including where the axis starts.
The sample size. "n = 40" changes how much weight the reader gives the chart.
The source and date. Your own collection counts as a source, and saying when it was collected lets a reader judge whether it is still current.
The first of these is the one students most often skip, and it is the one that turns a chart from something to look at into something that makes a claim.
A report is not a gallery. Each visualisation should answer a different part of the aim, and the text should say what each one shows and what it does not.
For the sleep-and-marks inquiry from Lesson 1, three displays do different jobs:
A histogram of sleep hours establishes what the sample looks like: where most students sit, whether the distribution is symmetric, whether there are unusual values. It answers "who did we measure?"
A scatter plot of sleep against mark addresses the aim directly: do the two move together, and how strongly?
Parallel box plots splitting students into two sleep groups makes the comparison in the hypothesis concrete, showing not just the difference in centre but whether the two groups overlap heavily.
Three displays, three jobs. Adding a pie chart of favourite subject would add a picture and no insight, and a reader is entitled to ask what it is doing there.
Watch Me Solve It · 3 examples
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1Classify the variablesTravel time is numerical continuous; method of travel is categorical with two values. The aim compares one numerical variable across two groups.
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2Choose the primary displayParallel box plots. They show both centres and both spreads on one scale, so the reader sees not only which group is faster but whether the groups overlap, which a pair of means would hide.
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3Choose a supporting displayA histogram of all travel times, to establish what the sample looks like before the comparison: whether times are clustered, and whether any unusual values are driving the result.
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4Say what is NOT chosen and whyA pie chart would be wrong twice over: travel time is not categorical, and the two groups are not parts of one whole being divided.
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1Compute the real change$\frac{4.50 - 4.20}{4.20} \times 100 \approx 7.1\%$A rise of about seven per cent, which is real but not massive.
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2Compute the drawn change$\frac{4.50 - 4.00}{4.20 - 4.00} = \frac{0.50}{0.20} = 2.5$On an axis starting at $\$4.00$ the second bar is two and a half times the length of the first, suggesting a rise of 150%.
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3Name the faultThe axis is truncated on a display read by comparing lengths, so the drawn ratio misrepresents the real ratio. The numbers are accurate and the picture is not.
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4Repair itStart the axis at $\$0$, retitle it with the finding rather than a judgement, for example "Mean canteen item price rose 7% from $\$4.20$ to $\$4.50$", and label the axis "Mean price per item (dollars)" with the sample size.
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1Identify what the title doesIt names the topic, so the reader must work out the finding themselves and cannot check whether the author read the chart correctly.
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2Rewrite it as the findingFor example: "Students who slept longer tended to score higher, n = 40". The reader can now check the claim against the plot.
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3State what it supportsThat in this sample the two variables moved together, and roughly how strongly and in which direction.
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4State what it does not supportThat sleep CAUSED the higher marks. A scatter plot shows association only, and a third factor, such as organised study habits, could produce both.
Brain Trainer · 4 problems
Four quick problems. Work each one, then reveal the answer.
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1 Which display suits the heights of 60 students?
Height is numerical continuous, so it groups into intervals.A histogram -
2 Which display suits favourite subject?
Categorical, with separate categories.A column graph -
3 Should a bar chart's value axis start at zero?
Bars are compared by length.Yes -
4 Which display shows whether two numerical variables move together?
Each subject contributes one point.A scatter plot
Multiple Choice · 5 questions
A histogram differs from a column graph in that:
Starting a bar chart's value axis at $60$ rather than $0$ is misleading because:
A truncated vertical axis is often reasonable on:
A pie chart is an appropriate display only when:
The best title for a chart in a report is one that:
Short Answer · 3 questions
(a) The method of travel to school of 200 students.
(b) The distribution of times taken by 50 students to complete a puzzle.
(c) Whether hours of part-time work is related to hours of sleep, for 60 students.
(d) A comparison of test marks between three classes.
(a) Calculate the actual percentage increase, and the ratio of the drawn bar lengths.
(b) Identify three faults.
(c) Describe the repaired chart in full.
(a) Choose three visualisations for your report and state the job each one does.
(b) For each, write the title you would give it.
(c) Explain why a fourth chart showing the favourite subject of respondents should not be included.
(a) Draw or describe a chart that makes this look like a crisis, and state exactly which choices produce that impression.
(b) Draw or describe a chart that makes it look negligible, and state which choices produce that.
(c) Describe the chart you would publish, and explain what additional information the reader needs before the figure means anything at all.
Match
Display to variable type
Bars
Compared by length, so start at zero
Lines
Compared by slope, so truncation is often fine
Every chart
A finding as its title, and a sample size
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