Bar Graph | Meaning, Types, and Examples
Last Updated : 19 Jul, 2024
Bar graphs are one of the most common and versatile types of charts used to represent categorical data visually. They display data using rectangular bars, where the length or height of each bar corresponds to the value it represents. Bar graphs are widely used in various fields such as business, education, and research to compare different categories or track changes over time. This article explores the different types of bar graphs, their uses, and how to create and interpret them.
What is a Bar Graph/Bar Diagram?
A Bar graph is a type of data-handling method that is popularly used in statistics. A bar graph or bar chart is a visual presentation of a group of data that is made up of vertical or horizontal rectangular bars with lengths that are equal to the measure of the data.
Types of Bar Graphs or Bar Diagrams
The different types of Bar Graphs are as follows:
- Simple Bar Graph
- Multiple Bar Graph
- Sub-Divided Bar Graph or Component Bar Graph
- Percentage Bar Graph
- Broken-Scale Bar Graph
- Deviation Bar Graph
1. Simple Bar Graph
A diagram in which each class or category of data is represented by a group of rectangular bars of equal width is known as a Simple Bar Diagram. It is the simplest type of bar diagram. In this diagram, each bar represents one figure only. The number of bars will be equal to the number of figures. These diagrams show only one characteristic of the data, such as sales, production, or population figures for various years.
The magnitude of data is determined by the bar's height (or length). The lower end of the bar touches the base line; therefore, the height of a bar starts from the zero unit. These diagrams can be vertical or horizontal in layout:
- Vertical Bar Graph: The diagram in which the magnitude of the data is presented vertically, i.e., along the Y-axis, is a Vertical Bar Diagram.
- Horizontal Bar Graph: The diagram in which the magnitude of the data is presented horizontally; i.e., along the X-axis is a Horizontal Bar Diagram.
The bars of a bar diagram can be visually compared by their relative height, and data can be easily comprehended accordingly.
Example of Simple Bar Graph
The following table shows the percentage of monthly salary saved by each employee in a 100-person company. Create a vertical and a horizontal bar diagram to represent it.
Solution:
2. Multiple Bar Graph
The Multiple Bar Diagram is used to compare two or more variables such as revenue and expenditure, import and export for different years, marks obtained in different subjects in different grades, and so on. It is often referred to as a Compound Bar Diagram. The method for creating multiple bar diagrams is the same as for making a Simple Bar Diagram. However, to distinguish the bars from each other, different bars are differentiated by different shades or colours.
Example of Multiple Bar Graph
A company manufactures three varieties of soap. Represent the following information showing the quarterly sales (three months) using a multiple-bar diagram.
Solution:
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3. Sub-Divided Bar Graph
In these diagrams, the bar corresponding to each phenomenon is divided into several components. Each part or component occupies a proportional part of the bar to its share in the total. For example, the bar corresponding to the number of students enrolled in a course can be further sub-divided into boys and girls.
- When preparing a sub-divided bar diagram, the various components in each bar should be kept in the same sequence.
- It is important to use different colours or shades to differentiate between different components.
- A suitable index should explain these various colours or shades.
- These diagrams are quite useful for comparing the sizes of various parts and throwing light on the relationship between these integral parts. For instance, such diagrams are used to present data such as sales profits from various products, a family’s expenditure pattern, the budget outlay for receipts and expenditures, and so on.
Example of Sub-Divided Bar Graph
Represent the following information using a sub-divided bar diagram, showing the quarterly sales of three varieties of soap manufactured by a company.
Solution:
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4. Percentage Bar Graph
A Percentage Bar Diagram is a sub-divided bar diagram that indicates the total percentage of each component rather than the magnitude. The absolute magnitudes of several components are presented using a subdivided diagram. These magnitudes can be converted into relative values by describing them as a percentage of the total.
Each data component is expressed as a percentage of the corresponding total. Thus, in a percentage bar diagram, all of the bars are of height 100, while the different segments of the bar representing the various components vary in size depending on their % value of the total. Just like in the sub-divided bar diagram, in the percentage bar diagram, different components can be differentiated by different shades or colours.
Example of Percentage Bar Graph
The table below displays the number of newspapers sold out by the company, out of the total printed newspaper from 2016 to 2021.
Solution:
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5. Broken-Scale Bar Graph
This diagram is used when the value of one variable is extremely high or extremely low compared to others. Larger bars may be broken to make space for the smaller bars of the series. Every bar has its value written on the top of the bar.
When the majority of the data figures are of low magnitude and one or more of the figures are of unusually large magnitude, a broken-scale diagram is used to present the data.
Example of Broken-Scale Bar Graph
Prepare an appropriate diagram using the following data.
Solution:
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6. Deviation Bar Graph
These diagrams are used to represent net changes in data such as net profit, net loss, net exports, net imports, etc.
- In these diagrams, only changes are shown, not the original data.
- The values in these diagrams might be both positive and negative.
- Positive values are displayed above the X-axis (Base line), while negative values are below it.
Example of Deviation Bar Graph
The following table shows the data relating to the net exports of a company in different years. Use a deviation bar diagram to represent the profit/loss made by the firm.
Solution:
Creating a Bar Graph
- 1. Collecting Data: Gather the data you want to represent, ensuring it is categorical and each category has a corresponding value.
- 2. Choosing the Type of Bar Graph: Select the appropriate type of bar graph based on your data and the comparison you want to make.
- 3. Drawing the Axes: Draw the x-axis (horizontal) and y-axis (vertical) on a graph. Label the axes with the categories and values, respectively.
- 4. Plotting the Bars: Draw bars for each category. Ensure the bars are of uniform width and equally spaced. The length or height of each bar should correspond to its value.
- 5. Adding Labels and Titles: Label each bar with its category and value. Add a title to the graph to describe what it represents.
Features of Bar Graph
- In this diagram, the magnitude of the characteristics is shown by the length or height of the bar.
- The width of a bar is arbitrarily set to make the constructed diagram more elegant and attractive.
- The length and height of the bars vary depending on the variable value. However, the width of the bar remains constant.
- The width of a bar is also determined by the number of bars that must be accommodated in the diagrams.
- The bars must be equidistant from one another.
- Bars can be drawn horizontally or vertically. They are, however, usually in vertical form.
- The side or vertical axis of a bar graph is called the y-axis and the bottom or horizontal axis of a bar graph is known as the x-axis.
- The y-axis represents data value, while the x-axis represents data type.
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Advantages of Bar Graph
Due to their accessibility and suitability for visual data representation, bar diagrams are used across several industries. Following are some of the advantages of bar diagrams:
1. It is simple to create and easy to understand
Bar diagrams are simple to create on paper and in computer applications. Before choosing the type of bar diagram, one just needs the necessary data for comparison. The vertical bar diagram is ideal for a few categories. In contrast, the horizontal bar diagram works better for multiple categories. In addition, a stacked bar diagram can be used to segment categories, or a grouped bar diagram to show data over time. It is simple to label the x-axis and y-axis and to draw the bars at corresponding values. A bar diagram is widely utilised for visually presenting data.
2. It is frequently used in a variety of industries
Around the world, a bar diagram is utilised in a variety of industries. For instance, it can be used in the field of epidemiology to better understand disease transmission and its control. Bar graphs are frequently used by businesses to analyse their finances and sales. It can also be used to keep a record of personal finances.
3. It makes data comparison easier
Various types of bar graphs can precisely represent data visually. This simplifies the comparison-making process. For instance, the stacked bar diagram/sub-divided bar diagram can be utilised to compare product sales for an online and offline business over different months. The bar diagram shows monthly sales from both online and offline retailers. With a bar diagram, businesses can compare how each of their stores performs and where they need to place their attention.
4. It provides a visual summary of a large data set
A bar diagram is used to represent the large data set. The graphical representation makes the analysis of the data clear. Additionally, gaps between the bars, highlight how each bar represents an individual value. For instance, a business would be interested in knowing how long deliveries take during peak and off-peak periods. The grouped bar diagram can be used to visually summarise the data and identify areas for improvement.
5. It facilitates pattern analysis
The bar diagram helps identify patterns and trends by visually representing data that changes over time. When compared to a table of numerical data, using a bar diagram is easier to understand and use. A bar diagram allows anyone with basic knowledge to read the label and identify patterns and trends, but a table of numerical data requires an expert to identify trends and patterns. In this way, studying patterns and highlighting trends is made simple by the visual representation of data provided by a bar diagram.
Disadvantages of a Bar Graph
Bar diagrams are inappropriate for large projects because they cannot be utilised to evaluate the effects of unforeseen events. Following are some of the disadvantages of a bar diagram:
1. It needs further explanation
Bar diagrams are frequently used in presentations to visually present the data. However, using only the bar diagram is not always effective. Even though the represented data is explained by labels along both axes, an additional example is still required to understand. That is a disadvantage of a bar diagram, especially when presenting complex data. It is insufficient to describe the data set by using the bar diagram.
2. It can be modified
In the digital era, people prefer a visual presentation of data for which a bar diagram is used. But unfortunately, given how simple data is to access and how fast it can be spread on social media, its misuse is unavoidable. These days, bar diagrams have been modified in several different ways that include manipulating the x-axis or y-axis and mishandling the standard. This can ultimately result in the manipulation of the readers.
3. It fails to show the relationship between activities
A bar diagram can be used to estimate the amount of time and work needed for different project activities. Still, it cannot indicate how these activities are related to each other. As a result, it can't be used as an instrument of control. It is challenging to manage projects with bar diagrams since they can not show the relationships between the activities.
4. It fail to show progress
A bar graph enables the systematic presentation and arrangement of various project activities. However, a bar diagram cannot show the progress of these activities while monitoring them. This makes it an unsuitable tool because there is a need to move fast in a dynamic world. It also makes it challenging to identify the delays in activities.
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Quartile Deviation and Coefficient of Quartile Deviation: Meaning, Formula, Calculation, and ExamplesThe extent to which the values of a distribution differ from the average of that distribution is known as Dispersion. The measures of dispersion can be either absolute or relative. The Measures of Absolute Dispersion consist of Range, Quartile Deviation, Mean Deviation, Standard Deviation, and Loren
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Quartile Deviation in Discrete Series | Formula, Calculation and ExamplesWhat is Quartile Deviation?Quartile Deviation (absolute measure) divides the distribution into multiple quarters. Quartile Deviation is calculated as the average of the difference of the upper quartile (Q3) and the lower quartile (Q1).Quartile~Deviation=\frac{Q_3-Q_1}{2} Where,Q3 = Upper Quartile (S
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Quartile Deviation in Continuous Series | Formula, Calculation and ExamplesWhat is Quartile Deviation?Quartile Deviation (absolute measure) divides the distribution into multiple quarters. Quartile Deviation is calculated as the average of the difference of the upper quartile (Q3) and the lower quartile (Q1).Quartile~Deviation=\frac{Q_3-Q_1}{2} Where,Q3 = Upper Quartile (S
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Mean Deviation: Coefficient of Mean Deviation, Merits, and DemeritsRange, Interquartile range, and Quartile deviation all have the same defect; i.e., they are determined by considering only two values of a series: either the extreme values (as in range) or the values of the quartiles (as in quartile deviation). This approach of analysing dispersion by determining t
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Calculation of Mean Deviation for different types of Statistical SeriesWhat is Mean Deviation?The arithmetic average of the deviations of various items from a measure of central tendency (mean, median, or mode) is known as the Mean Deviation of a series. Other names for Mean Deviation are the First Moment of Dispersion and Average Deviation. Mean deviation is calculate
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Mean Deviation from Mean | Individual, Discrete, and Continuous SeriesMean Deviation of a series can be defined as the arithmetic average of the deviations of various items from a measure of central tendency (mean, median, or mode). Mean Deviation is also known as the First Moment of Dispersion or Average Deviation. Mean Deviation is based on all the items of the seri
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Mean Deviation from Median | Individual, Discrete, and Continuous SeriesWhat is Mean Deviation from Median?Mean Deviation of a series can be defined as the arithmetic average of the deviations of various items from a measure of central tendency (mean, median, or mode). Mean Deviation is also known as the First Moment of Dispersion or Average Deviation. Mean Deviation is
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Standard Deviation: Meaning, Coefficient of Standard Deviation, Merits, and DemeritsThe methods of measuring dispersion such as quartile deviation, range, mean deviation, etc., are not universally adopted as they do not provide much accuracy. Range does not provide required satisfaction as in the entire group, range's magnitude is determined by most extreme cases. Quartile Deviatio
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Standard Deviation in Individual SeriesA scientific measure of dispersion that is widely used in statistical analysis of a given set of data is known as Standard Deviation. Another name for standard deviation is Root Mean Square Deviation. Standard Deviation is denoted by a Greek Symbol σ (sigma). Under this method, the deviation of valu
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Standard Deviation in Discrete SeriesA scientific measure of dispersion that is widely used in statistical analysis of a given set of data is known as Standard Deviation. Another name for standard deviation is Root Mean Square Deviation. Standard Deviation is denoted by a Greek Symbol σ (sigma). Under this method, the deviation of valu
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Standard Deviation in Frequency Distribution SeriesA scientific measure of dispersion that is widely used in statistical analysis of a given set of data is known as Standard Deviation. Another name for standard deviation is Root Mean Square Deviation. It is denoted by a Greek Symbol σ (sigma). Under this method, the deviation of values is taken from
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Combined Standard Deviation: Meaning, Formula, and ExampleA scientific measure of dispersion, which is widely used in statistical analysis of a given set of data is known as Standard Deviation. Another name for standard deviation is Root Mean Square Deviation. Standard Deviation is denoted by a Greek Symbol σ (sigma). Under this method, the deviation of va
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Coefficient of Variation: Meaning, Formula and ExamplesWhat is Coefficient of Variation? As Standard Deviation is an absolute measure of dispersion, one cannot use it for comparing the variability of two or more series when they are expressed in different units. Therefore, in order to compare the variability of two or more series with different units it
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Lorenz Curveb : Meaning, Construction, and ApplicationWhat is Lorenz Curve?The variability of a statistical series can be measured through different measures, Lorenz Curve is one of them. It is a Cumulative Percentage Curve and was first used by Max Lorenz. Generally, Lorenz Curves are used to measure the variability of the distribution of income and w
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Chapter 9: Correlation