MYP 1 Mathematics · Data and Probability

Bar graphs, dot plots, line graphs and pie charts

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Why Do We Use Graphs?

Imagine trying to compare the heights of 30 students just by reading a list of numbers — it would take forever! Graphs turn raw data into visual stories that are much easier to understand at a glance.

When we collect data, we need to choose the right type of graph for the job. Using the wrong graph can confuse your reader or even mislead them. The key question to ask is: What am I trying to show?

Here is a quick guide to matching your data to the right graph type:

  • Bar graph → comparing categories (e.g. favourite sports, most spoken languages)
  • Line graph → showing change over time or trends
  • Pie chart → showing how a whole is split into parts (percentages/fractions)
  • Dot plot → displaying individual data values along a number line
  • Pictograph → simplifying very large numbers using icons
  • Scatter plot → exploring the relationship between two variables
Note

In MYP Sciences and Mathematics, you will often need to justify your choice of graph. Always be ready to explain why a particular graph type suits your data.

Bar Graphs

Bar Graph

A graph that uses rectangular bars to compare qualitative (categorical) data. The categories are placed on the x-axis and the measured values on the y-axis.

Bar graphs are one of the most common and useful ways to display data. They are perfect when you want to compare different groups or categories side by side.

Key features of a bar graph:

  • The x-axis shows the categories (names of places, colours, languages, etc.)
  • The y-axis shows the measurement or frequency
  • Each bar's height represents the value for that category
  • Bars should be the same width and equally spaced
  • Always include a title, axis labels, and a scale
Warning

A very common mistake is not starting your y-axis scale at zero. If you skip from zero to a large number without showing it, your graph can make small differences look enormous — this misleads your reader! Always start at zero, or clearly show a break in the axis if needed.

Example

The 10 Most Spoken Languages in the World

Imagine a bar graph where the x-axis lists languages (Mandarin, Spanish, English, Hindi, etc.) and the y-axis shows the number of speakers in millions. The bar for Mandarin would be the tallest, making it immediately obvious which language has the most speakers. You might also notice an outlier — a bar that stands out as unusually high or low compared to the others.

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