Skip to topic
    ← Back to course topics

    Present data (including tables and graphs) — AQA GCSE Physical Education

    Teaching note checked against the official specification.

    Test yourself on Present data (including tables and graphs) with AQA GCSE practice questions.

    Start free

    A week of Premium from your first lesson · Then the free plan continues · No card, no charge

    Present data (including tables and graphs) explained

    Present data (including tables and graphs) covers 5 specification points, including Presenting data How to present data in tables.

    Read the full explanation

    and How to plot basic:. Open a point below for its explanation and revision guidance.

    Presenting data How to present data in tables.

    Tables organise data so a reader can compare results quickly. A well-built table has a clear title stating what is shown, column and row headings that name the variable and its unit, and data entered in consistent units throughout. For example, a table of sprint times might head one column 'Athlete' and another 'Time (s)', with each row holding one athlete's result. Tables suit exact values and side-by-side comparison, and they prepare data for graphing later. When presenting data in a table, keep the layout simple, align values so they are easy to scan, and avoid mixing units such as seconds and minutes in the same column. A reader should be able to find any single result without reading the whole table. Choosing a table over a graph is sensible when precise numbers matter more than showing a trend.

    How to plot basic:

    Plotting basic data means turning a table of results into a graph a reader can interpret at a glance. First choose the graph type that fits the data: a bar chart for categories such as activity type, a line graph for continuous change over time such as heart rate during exercise. Draw and label both axes with the variable name and its unit, for example 'Time (s)' and 'Heart rate (beats min⁻¹)'. Choose a sensible, even scale that uses most of the grid and mark it in equal steps. Plot each point accurately against both axes, then join points or draw bars as the type requires. Add a clear title and a key if more than one data set is shown. Check every plotted value against the original table before finishing.

    bar charts

    A bar chart presents data in separate categories, such as the number of students choosing each activity or the count of injuries by body part. Each category gets its own bar, and the height of the bar shows the value for that category. Bars are drawn with equal width and separated by gaps, because the categories are distinct rather than continuous. Label the category axis with the variable, for example 'Activity', and the value axis with the measure and its unit, for example 'Number of students'. Use an even scale on the value axis so bar heights can be read accurately. A bar chart suits discrete or categorical data; for continuous change over time, a line graph is usually more appropriate.

    line graphs.

    A line graph presents continuous data by plotting points and joining them, so a trend across time or across a continuous variable is visible at a glance. In GCSE Physical Education you might plot heart rate against time during exercise, or a performer's sprint times across a training block. Each point represents one measurement, and the line between points shows how the value changes. Use a line graph only when the variable on the horizontal axis is continuous and ordered, such as time or distance; use a bar chart for separate categories. Plot each pair of values accurately, join points with straight ruled lines unless told otherwise, and keep the scale even so the slope is not distorted.

    How to label x and y axes on bar charts and line graphs.

    Every bar chart and line graph needs both axes labelled so a reader can interpret the data without the original table. The horizontal x axis carries the independent variable, such as time, distance or category of activity; the vertical y axis carries the dependent variable being measured, such as heart rate, speed or number of participants. Each label should name the quantity and give its unit, for example 'Time (s)' on the x axis and 'Heart rate (beats min⁻¹)' on the y axis. Keep the scale even and mark it clearly. A graph with unlabelled or unit-less axes cannot be read reliably, so labelling is part of presenting data correctly.

    Your focus

    1. Describe the features of a well-presented data table
    2. Identify faults in a given table such as missing units or a missing title
    3. Explain when a table is a suitable way to present PE data
    Show all 15 objectives
    1. Select a suitable graph type for a given set of data.
    2. Label axes correctly with variable names and units.
    3. Plot data accurately on an even scale and check it against the source table.
    4. Describe what a bar chart shows and how its bars represent values.
    5. Explain why bar charts suit categorical data rather than continuous data.
    6. Identify correct labelling and scaling of a bar chart.
    7. State when a line graph is the appropriate way to present data.
    8. Plot data pairs accurately on a line graph.
    9. Explain how a line graph shows a trend across a continuous variable.
    10. Label the x and y axes of a bar chart or line graph with quantity and unit.
    11. Identify the independent and dependent variables for a given data set.
    12. Explain why axis labels and units are needed to interpret a graph.

    Present data (including tables and graphs) exam tips

    Marking Points
    • States that a table presents data in rows and columns so values can be compared and located quickly
    • Requires a clear title and headings that name each variable and its unit, such as 'Time (s)'
    • Keeps units consistent within a column so values can be compared fairly
    • Explains that tables suit exact values and side-by-side comparison, while graphs better show trends
    • Applies the guidance by describing or correcting a simple PE table, for instance one row per athlete with a time column
    • Selects a graph type that matches the data, using a bar chart for categories and a line graph for continuous variables.
    • Labels both axes with the variable name and its unit, such as 'Time (s)' and 'Heart rate (beats min⁻¹)'.
    • Uses an even scale with equal steps that fills most of the available grid.
    • Plots each point accurately against both axes and checks the plotted values against the original table.
    • Adds a clear title and a key where more than one data set is presented.
    • Identifies that a bar chart displays separate categories with one bar per category.
    • States that the height of each bar represents the value for that category.
    • Recognises that bars have equal width and gaps between them because categories are distinct.
    • Explains that the value axis needs an even scale and a unit so bar heights can be read accurately.
    • Distinguishes categorical data suited to a bar chart from continuous data better shown on a line graph.
    • Identifies a line graph as a way of presenting continuous data by plotting points and joining them to show a trend.
    • Selects a line graph when the horizontal-axis variable is continuous and ordered, such as time or distance.
    • Plots each data pair at the correct position on both axes before joining the points.
    • Joins plotted points with straight ruled lines and keeps the axis scale even so the slope is not distorted.
    • Labels the horizontal x axis with the independent variable and its unit.
    • Labels the vertical y axis with the dependent variable and its unit.
    • Places the independent variable on the x axis and the measured dependent variable on the y axis.
    • Includes units in each axis label, such as seconds or beats min⁻¹, so values can be read correctly.
    Examiner Tips
    • 💡Check that every column heading names the variable and gives its unit before judging a table
    • 💡Look for a title that tells the reader what the table shows
    • 💡Compare values within a column to confirm units are consistent
    • 💡If asked why a table is used, link it to exact values and easy comparison rather than to showing trends
    • 💡Read the question to see whether it asks for a table, a graph or both, and produce exactly what is requested.
    • 💡State the graph type you choose and justify it briefly in terms of the data, for example categories or continuous change.
    • 💡Leave space for a title and key, and label axes before plotting so the scale is fixed first.
    • 💡Read all options before choosing, and eliminate any that confuse bar charts with line graphs.
    • 💡Check that the option names both the category axis and the value axis correctly.
    • 💡Look for the option that mentions gaps between bars and an even scale.
    • 💡Check whether the horizontal-axis variable is continuous before choosing a line graph.
    • 💡Read the question's data table carefully and plot every pair of values, not just the first and last.
    • 💡Label both axes with the quantity and its unit so the graph can be interpreted without the table.
    • 💡Write each axis label as quantity plus unit in brackets to secure the labelling mark.
    • 💡Decide which variable is independent before drawing, then fix it on the x axis.
    • 💡Check the scale is even and numbered before plotting any data.
    Common Mistakes
    • Omits units from column headings; add the unit in brackets after the variable name so each value is meaningful
    • Mixes different units in one column; convert all values to the same unit before entering them
    • Leaves the table without a title; add a title that states what the data show
    • Crams unrelated variables into one table; separate distinct measures into clearly headed columns
    • Omits units from axis labels; add the unit in brackets after each variable name.
    • Uses an uneven or cramped scale; choose equal steps that spread the data across the grid.
    • Plots points without checking them against the table; re-read each value before joining or drawing bars.
    • Uses a bar chart for continuous change over time; choose a line graph for continuous variables.
    • Draws bars with no gaps between categories; separate the bars to show the categories are distinct.
    • Omits the unit on the value axis; label the axis with the measure and its unit.
    • Uses a line graph for separate categories such as different sports; choose a bar chart when the categories are not continuous.
    • Joins points with a freehand curve that ignores the plotted values; join the points as plotted with ruled lines.
    • Compresses part of the scale unevenly so the trend looks steeper; keep one even scale along each axis.
    • Writes an axis label without a unit; add the unit, for example 'Time (s)'.
    • Swaps the variables so the measured value sits on the x axis; place the independent variable on x and the dependent variable on y.
    • Leaves the scale unmarked or uneven; mark an even scale with clear values along each axis.