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2020 LearnersLast updated on November 27, 2025

A bar chart is a graphical representation used to display data using vertical or horizontal bars. The length of each bar represents the values they represent. In this topic, we are going to learn about bar charts and their various types.
A bar chart, also called a bar graph, is a visual representation of numerical data using rectangular bars. Each bar has the same width but different heights, depending on the values they represent. Bar charts are widely used in statistics to organize data effectively.
Bar charts are unique and different from other types of charts due to the following properties:
Bar charts are special because they help us see information clearly. Here are some key things to know about them:
We know how to read bar charts, so let us now look into how to create a bar chart. The steps to create a bar chart are as follows:
Step 1: On the graph, write the title of the bar chart. For example,“ Favorite Subject in Class”.
Step 2: Draw the x-axis (horizontal) and the y-axis (vertical).
Step 3: Label the axes. The X-axis can be labeled as Favorite subjects and the Y-axis can be labeled as the Number of students.
Step 4: Label the subjects such as math, physics, biology, etc. on the horizontal axis.
Step 5: Write the scale on the vertical axis equivalent to the given data.
Step 6: Ensure bars are drawn proportional to the scale of the y-axis and maintain equal gaps between bars. The height will be equal to the data represented.


When it comes to bar charts, we have a few different types. Bar Charts Can We Used to Categorize Data. Here are some of the types of bar charts that we use:
Horizontal bar charts: When data is represented via horizontal lines on graphs, these are called horizontal bar charts. In this type of bar chart, we represent the categories on the x-axis and y-axis. The y-axis shows the representation of data horizontally.
Vertical bar charts: The commonly used bar charts where the data is represented vertically. The bars are drawn vertically on the x-axis.
Vertical (or Horizontal) grouped bar charts: Also known as the clustered bar charts. It represents discrete values for two or more categories that contain data. Each category is represented using different colors.
Vertical (or Horizontal) stacked bar charts: Stacked bar charts or composite bar charts show the division of the whole bar chart into different parts. To easily identify the categories in graphs, we use different colors and labels.
Bar charts are an easy and fun way to present information visually. They help us understand numbers quickly just by looking at them. Here’s why bar charts are so helpful:
Bar charts and histograms are often confused with one another, they both use bars to represent data. Here are a few differences between bar charts and histograms:
| Bar Chart | Histogram |
| A bar chart is used to compare different categories (things that are different from each other). | A histogram shows how many numbers fall into ranges (groups of numbers). |
| Example: Your favorite fruits — apples, bananas, grapes, mangoes. | Example: Heights of students grouped into ranges like 100–110 cm, 110–120 cm, etc. |
| Bars can be tall (vertical) or long (horizontal) | The bars touch each other because their number ranges overlap. |
| The bars do NOT touch each other because each category is separate. | It looks similar to a bar chart, but it's about number intervals, not categories. |
| Each bar has a name or label (like “Dogs,” “Cats,” “Birds”). | Each bar shows a range of numbers (like 10–20, 20–30, 30–40). |
Bar charts can sometimes feel tricky in mathematics, so a few simple tips and tricks can really help. In this section, we will explore ideas that students, parents, and teachers can use to make bar charts easier to understand. Segmented bar charts are also helpful because they show how a whole can be divided into different parts.
Students frequently make mistakes when learning about bar charts. Here are some common mistakes that students make and ways to avoid them:
Bar charts are widely used in the real world as it is an effective way to compare data. Here are a few real-life applications of bar charts:
A store recorded sales of different laptop brands in a week: Dell: 50 units HP: 40 units Lenovo: 30 units Apple: 20 units Asus: 25 units
NA
A bar chart is used to represent categorical data visually. Here, the x-axis is the laptop brands and the y-axis is the sales numbers. The bars are drawn with heights corresponding to the number of laptops sold.
The population (in millions) of five cities is given below: New York: 8.4M Los Angeles: 4 M Chicago: 2.7M Houston: 2.3M Phoenix: 1.7M
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A horizontal bar chart is used to display categorical data. Here, the y-axis represents the cities and the x-axis represents the population in millions. The length of each bar corresponds to the population of the city.
The monthly rainfall (in mm) recorded in a city for the first four months of the year is: January:78 mm February: 54 mm March: 89 mm April: 92 mm
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A bar chart is used to compare different months based on rainfall. Here, the x-axis represents the months and the y-axis represents the rainfall (in mm). The height of each bar corresponds to the amount of rainfall recorded in that month.
A school conducted a survey on students’ favorite sports. The results are: Football: 35 student Basketball: 30 students Cricket: 25 students Tennis:15 students Badminton: 20 students
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We use a bar chart to compare the popularity of different sports. Here, the x-axis represents the sports and the y-axis represents the number of students who chose each sport. The height of each bar corresponds to the number of students who prefer that sport.
The annual revenue (in billions) of five major companies is given below: Apple: $ 260B Microsoft: $ 140B Amazon: $ 280B Google: $ 160B Facebook: $ 85B
NA
A bar chart is used to compare the revenue of different companies. Here, the x-axis represents the company names, and the y-axis represents the revenue in billions of dollars. The height of each bar corresponds to the company’s annual revenue.
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!






