Learn Index · Data Management and Statistics Grade 9–10

Choosing appropriate data displays

Picking the graph that fits the question and the type of data.

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Picking the right graph

The best data display depends on two things:

  1. The type of data
  2. The purpose: what you want the reader to see

Types of data

Type Description Examples
Categorical data labels or groups favourite sport, eye colour
Numerical data – discrete counts, whole numbers number of siblings, goals scored
Numerical data – continuous measurements height, time, temperature

Choosing by purpose

Purpose Best display
Compare categories bar graph, pictograph
Show parts of a whole circle graph
Show change over time line graph
Show a distribution histogram, stem-and-leaf plot, box plot
Compare distributions side-by-side box plots, back-to-back stem-and-leaf
Show a relationship between two variables scatter plot
Show frequency of small discrete data dot plot, bar graph

Examples

Question Data Best display
Which pizza topping is most popular? categorical bar graph
How did a city’s population change from 2000 to 2025? numerical over time line graph
How is the household budget split? parts of 100% circle graph
How are students’ heights spread? continuous histogram
Is arm span related to height? two numerical variables scatter plot
How do two classes’ test scores compare? numerical, two groups box plots

Mismatches to avoid

  • Line graph for categories: lines between "apple" and "banana" mean nothing.
  • Circle graph when parts don’t add to a whole: e.g., "check all that apply" surveys.
  • Bar graph with gaps for continuous data: use a histogram.
  • 3D effects: they distort sizes and make reading harder.

Good display checklist

  • Clear title
  • Labelled axes with units
  • Even scales, starting at 0 for bar graphs
  • A legend if colours are used
  • Source of the data

Worked examples

Example 1: Monthly rainfall over a year? Line graph (or bar graph by month).

Example 2: Percent of energy from each source? Circle graph.

Example 3: Times for 100 runners in a race? Histogram or box plot.

Common mistakes

  • Choosing the most colourful graph instead of the clearest.
  • Ignoring the data type.
  • Overloading one graph with too many categories.

Try it yourself

Choose a display:

  1. The number of each type of tree in a park
  2. A stock price over 6 months
  3. Hours of sleep vs grade average for 40 students
  4. Distribution of 200 people’s ages
  5. How a $1,000 budget is spent

Answers: 1) bar graph 2) line graph 3) scatter plot 4) histogram 5) circle graph

Quick recap

  • Match the data display to the data type and purpose.
  • Categorical data: bar or circle graphs; numerical data: histograms, box plots, line and scatter plots.
  • Check titles, labels and scales.