Graphs and charts: past paper questions
Real questions on graphs and charts
The newest 20 of 39 written questions. Open one to see it on the real paper.
- 0417/02 · October/November 2025 · Q26[1]
Use the data in the file n2502ratios.csv to create a pie chart that displays the relative amount of macronutrients needed only for endurance training.
See it on the paper → - 0417/02 · October/November 2025 · Q27[1]
Label the chart with the title Macronutrient ratio for endurance training
See it on the paper → - 0417/02 · October/November 2025 · Q28[1]
Format the chart to display only the macronutrient names and percentages as sector labels. Position all sector labels outside each chart sector.
See it on the paper → - 0417/02 · October/November 2025 · Q29[1]
Enhance the category with the largest percentage by pulling only this sector away from the other categories.
See it on the paper → - 0417/21 · May/June 2025 · Q28[1]
Use the data in the file j2521mp_trends.csv to create a vertical bar chart to show the number of offences for the category Mobile phone use. The chart must display only data from 2021 to 2024. Display the years as labels on the category axis. Do not display a legend.
See it on the paper → - 0417/21 · May/June 2025 · Q29[1]
Label the chart with the title Increase in mobile phone offences
See it on the paper → - 0417/21 · May/June 2025 · Q30[1]
Display only the data values along the top of each bar.
See it on the paper → - 0417/21 · May/June 2025 · Q31[1]
Format the value axis scale to display: • • • a minimum value of 0 a maximum value of 2100 increments of 300
See it on the paper → - 0417/22 · May/June 2025 · Q23[1]
Use the data in the file j2522age.csv to create a line chart to compare the total participation for men and women within each age group. Display with labels: • • the age groups on the category axis the percentages on the value axis.
See it on the paper → - 0417/22 · May/June 2025 · Q24[1]
Display a legend with the labels Male for Men total and Female for Women total
See it on the paper → - 0417/22 · May/June 2025 · Q25[1]
Label the chart with the title Gender distribution by age group
See it on the paper → - 0417/22 · May/June 2025 · Q26[1]
Format the value axis scale to display: • • • a minimum value of 0 a maximum value of 0.42 increments of 0.07
See it on the paper → - 0417/21 · February/March 2025 · Q24[1]
Use the data in the file m2521worldyield.csv to create a line graph to display only the crop yields for rice, wheat and maize for the years 2011 to 2021. Format the chart so that: the crop names are displayed in a legend below the category axis the year labels are displayed vertically on the category axis like this: •...
See it on the paper → - 0417/21 · February/March 2025 · Q25[1]
Label the chart with: • • • the title World Crop Yields the category axis title Year the value axis title Tonnes per hectare
See it on the paper → - 0417/21 · February/March 2025 · Q26[1]
Format the value axis scale to display: • • a minimum value of 3 a maximum value of 6
See it on the paper → - 0417/02 · October/November 2024 · Q24[1]
Use the data in the file n2402emissions.csv to create a pie chart to show the emissions for each economic sector for the year 2020 only.
See it on the paper → - 0417/02 · October/November 2024 · Q25[1]
Label the chart with the title Global emissions by economic sector
See it on the paper → - 0417/02 · October/November 2024 · Q26[2]
Format the chart to display only the economic sector names and percentages as chart sector labels. Position these labels outside each chart sector. Do not display a legend.
See it on the paper → - 0417/02 · October/November 2024 · Q27[1]
Enhance the chart display by pulling out only Agriculture, Forestry and other Land Use from the other chart sectors.
See it on the paper → - 0417/21 · February/March 2024 · Q22[1]
Use the data in the file c02ratings.csv to create a vertical bar chart to show the number of ratings given to each age category in 2023 only. Display, with labels, the age categories on the category axis and the number of games on the value axis. Do not display a legend.
See it on the paper →
What examiners said
Most candidates opened the correct source file and selected the correct data to create a vertical bar chart. Some candidates charted all the data in the source file with the offences displayed on the category axis instead of the years and this data was usually truncated. Candidates who correctly selected only the data for mobile phone use often included the total column in their selection instead...
— Examiner report, May/June 2025, 0417/21 Q28 (Cambridge)
The chart title was usually entered in the correct position but occasionally contained data entry or capitalisation errors. The most common error was the incorrect spelling of ‘mobile’ and/or ‘offences’. The title was not always displayed as shown with some entering the text in uppercase or with each word capitalised. Some candidates select a chart style that displays all text in uppercase which d...
— Examiner report, May/June 2025, 0417/21 Q29 (Cambridge)
Displaying the values as data labels along the top of each bar was completed well by most candidates. Occasionally, the labels were positioned in the middle of each bar making the values difficult to read.
— Examiner report, May/June 2025, 0417/21 Q30 (Cambridge)
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