Be able to select the graph or chart type

Published by Patrick Mutisya · 14 days ago

Cambridge IGCSE ICT 0417 – Graphs and Charts

Topic 16 – Graphs and Charts

Objective

Be able to select the most appropriate graph or chart type for a given set of data.

Why Choose the Right Graph?

Choosing the correct visual representation helps the audience to:

  • Understand trends and patterns quickly.
  • Compare values accurately.
  • Interpret relationships between variables.
  • Make informed decisions based on the data.

Common Graph and Chart Types

  • Bar Chart – compares discrete categories.
  • Column Chart – similar to a bar chart but vertical; useful for time‑based data.
  • Line Graph – shows trends over continuous intervals (e.g., months, years).
  • Pie Chart – displays parts of a whole as percentages.
  • Scatter Plot – shows relationship between two quantitative variables.
  • Histogram – shows frequency distribution of a single quantitative variable.
  • Area Chart – like a line graph but fills the area below the line; good for cumulative totals.
  • Stacked Bar/Column Chart – compares total size of categories and the contribution of sub‑categories.

Comparison of Graph Types

Graph / Chart TypeBest ForData TypeTypical Example
Bar ChartComparing individual categoriesNominal / ordinalSales of different products in a month
Column ChartComparing categories over timeNominal with time seriesQuarterly revenue per region
Line GraphShowing trends or changesContinuous (time)Temperature changes over a year
Pie ChartDisplaying parts of a wholePercentages / fractionsMarket share of five companies
Scatter PlotExamining correlation between two variablesTwo quantitative variablesHeight vs. weight of students
HistogramShowing frequency distributionContinuous quantitativeDistribution of test scores
Area ChartCumulative totals over timeContinuous (time)Total website visitors per month
Stacked Bar/Column ChartComparing totals and sub‑componentsNominal with sub‑categoriesSales by product line and region

Steps to Select the Appropriate Graph

  1. Identify the purpose of the visualisation (compare, show trend, illustrate proportion, etc.).
  2. Determine the type of data you have (categorical, ordinal, continuous, percentages).
  3. Consider the number of variables:

    • One variable – bar, column, pie, histogram.
    • Two variables – line, scatter, area.
    • More than two – stacked charts or multiple series.

  4. Check the audience’s familiarity with the graph type.
  5. Choose a graph that presents the data clearly without distortion.

Example Scenarios

  • Scenario A: A school wants to show the percentage of students achieving each grade (A, B, C, D, E).

    Best choice: Pie Chart – clearly displays parts of the whole.

  • Scenario B: A company tracks monthly sales over the last three years.

    Best choice: Line Graph – highlights trends and seasonal patterns.

  • Scenario C: A researcher compares the number of visitors to five different museums.

    Best choice: Bar Chart – easy side‑by‑side comparison.

  • Scenario D: An analyst examines the relationship between advertising spend and revenue.

    Best choice: Scatter Plot – shows correlation and possible outliers.

Key Points to Remember

  • Use a pie chart only when the total adds up to 100 % and there are few categories.
  • Use a line graph for continuous data over time; avoid it for unrelated categories.
  • Bar and column charts are interchangeable; choose orientation based on space and readability.
  • Scatter plots require both axes to be quantitative; they are not suitable for categorical data.
  • Histograms group data into intervals; they differ from bar charts because the bars touch each other.

Suggested Diagram

Suggested diagram: A decision flowchart that guides the user through the steps of selecting a graph type based on data characteristics.

Practice Exercise

For each of the following data sets, state which graph type would be most appropriate and justify your choice.

  1. Number of books sold by genre (Fiction, Non‑fiction, Mystery, Science, Biography).
  2. Average daily temperature recorded over a 12‑month period.
  3. Proportion of budget allocated to marketing, research, operations, and administration.
  4. Relationship between hours studied and exam score for a group of students.
  5. Frequency of test scores grouped in intervals of 10 points (0‑10, 11‑20, …, 91‑100).