Bar Chart vs. Histogram: Definitions and Differences

Key Differences Between Histogram and Bar graph

A histogram represents the frequency distribution of continuous variables. Conversely, a bar graph is a diagrammatic comparison of discrete variables. Histogram presents numerical data whereas bar graph shows categorical data.

It is advantageous to know the distinctions between bar charts and histograms because you might need to compare different elements. It is essential to make the appropriate decision in light of your data. When you have categorized or continuous data that you want to display graphically, knowing this information is essential. As bar charts vs. As histograms become more popular, you should be aware of their primary and most obvious distinction: while a bar chart has spaces between the bars, a histogram has adjacent bars that are not separated from one another.

These two types of charts are used to simplify concepts and difficult statistics, improve information communication, and ease data analysis. Additionally, they are useful for adding interest to statistical essay reports and comprehensibility and compellingness to presentations. The information below contains details about histogram vs. bar chart to display information properly and make the proper choice

A bar chart is made up of several bar graphs that show comparisons between different data categories. Parallel rectangular bars with varying lengths but equal width are used to display the grouped data. Each rectangular block represents a different set of data, and the length of each block depends on the values it contains. These separate entities do not touch each other.

The bar graph below, for instance, displays the number of speakers of various languages; the languages are categories, and the bars between them have spaces because they are discrete variables. There is a comparison of which languages have the most speakers as a result. Spanish appears to have the fewest speakers, while English appears to have the most.

A histogram is a type of bar chart that shows how frequently continuous data occurs. It is effective at representing statistical data, with the different bar heights representing observed frequencies. Because the number of observations falls within the value range, or “bin,” or “class,” these adjacent bars are joined. Data values are represented by the vertical Y-axis, and the number of ranges is represented by the horizontal X-axis.

For instance, the histogram below shows the development of a particular country’s gross domestic product (GDP) from 1965 to 1985. Keep in mind that the years are connected because they depend on one another and are continuous in intervals of five. According to the data displayed, this country has continuously produced GDP, albeit at varying rates. The country produced the highest GDP percentage between 1975 and 1980, which fell to the lowest percentage in the following five years between 1980 and 1985.

Each column in a histogram represents a group defined by a quantitative variable, while each column in a bar chart represents a group defined by a categorical variable. Speaking of a histogram’s skewness, or the tendency of the observations to fall more on either the low end or the high end of the X-axis, is always appropriate.

With EdrawMax, an advanced automatic diagram maker that can produce a variety of diagrams, including histograms and bar charts, you can quickly and easily create a professional-looking chart or graph. If the learning curve is flat, users may only need to follow a few simple steps. You can now try it for free!.

The bar chart vs. Comparing their histograms reveals significant differences between the two, establishing their distinct differences. While bar charts are used to compare categories, histograms, which group data points into predetermined intervals, offer quantitative analysis. As a result, you can use a bar chart to visually summarize large amounts of data and a histogram to forecast how well a process will perform in the future.

Although the X-axis and Y-axis are both horizontal and vertical, the way the data is displayed differs between the two; the histogram has connected bars because it displays continuous dependent data, whereas the bar chart has spaces because it compares independent variables. As a result, the histogram is appropriate for continuous numerical information, while the bar chart is ideal for categorized data.

How a histogram is different than a bar chart?

What is a histogram?

A histogram is a particular kind of bar graph used to show numerical or statistical data. It enables you to compare non-discrete values and display the frequency or distribution of continuous data. Data ranges are grouped into data bins or data intervals on the x-axis, and values are displayed on the y-axis in a histogram. The following types of data could be shown using a histogram:

Heres an example of when you might use a histogram:

The performance of a specific class period on a recent exam is being evaluated by a high school teacher. The y-axis would show the number of students who received a grade in the specified range, and the x-axis would include score ranges in increments based on letter scores, such as 60-69 for students who earned a D and a catchall data bin for scores of 59 or less. The bar for the 70-79 bin would reach six on the y-axis if six students received Cs. The bar for the 80-89 bin would also reach 10 on the y-axis if 10 students earned Bs.

What is a bar chart?

Categorical data is displayed using a bar chart, also known as a column chart. It allows you to easily compare variables across different categories. You can compare two similar data sets using double bar charts simultaneously. The following types of data could be shown in a bar chart:

Here is an example of when a bar chart might be used:

In order to determine which class period performed the best, a high school teacher wants to compare the percentage of students in each class period who passed a recent exam. Each class period’s categories would be on the x-axis, and the number of students who received passing grades would be on the y-axis. The bar would increase to the number three on the y-axis if three of the first period students passed the test. Similarly, the bar would reach the number nine on the y-axis if nine students in the second period’s class passed the test.

11 differences between bar charts and histograms

Both bar charts and histograms provide efficient visual displays for large amounts of data. Given that both graphs have two axes and value bars, they might appear similar. However, these graphs show various types of data to convey various messages. Some of the differences between bar charts and histograms include:

1. They use different types of data

Large sets of data can be displayed using histograms and bar charts. However, histograms display numerical or quantitative data in bins, which is data you can measure with numbers, as opposed to bar charts, which show categorical data, or information that is divided into different groups based on characteristics.

2. They organize data differently

Histograms must be structured in an orderly manner, with the bins or ranges arranged in ascending order. Bar charts, however, do not have strict organizational rules. You can arrange the categories according to things like size order or alphabetical order. To make it simpler to understand the smallest and largest values, many people choose to arrange the bars in size order.

3. They have different purposes of comparison

Histograms and bar charts both present data, but serve different functions. Bar charts allow you to compare specific variables or categories. You can understand the distribution of variables or the frequency of particular occurrences using histograms.

4. Data is spaced differently

Bar charts have space between each bar on the graph. But because there are no gaps between the bins, histograms do not have spaces between the bars. However, there is technically one exception to this. If there is no value in a particular bin, histograms may appear to have spaces; however, these are actually zero values, not spaces.

5. They vary in bar width size

The columns of bar charts always have similar widths. Histograms, however, may have columns with different widths. The widths of the columns in a histogram should be proportional to the data, and it’s crucial that they match the total number of counts or percentages used.

6. They interpret data differently

Bar charts and histograms both include x- and y-axes. On a bar chart, however, each item on the x-axis represents a categorical value, and the column labels on the y-axis indicate how big a group is. Comparatively, the y-axis on a histogram expresses the value of a group based on the column label, while the x-axis represents bins or single-value or range categories.

7. They use measurable vs numerical variables

Histograms and bar charts display different types of variables. Histograms represent the distribution of non-discrete variables. Non-discrete variables, also known as continuous variables, are measured to determine their value. However, bar charts, which are variables with a value determined by counting, compare discrete variables.

8. They group elements differently

Bar charts and histograms take different approaches to the components or items on the x-axis. Histograms involve grouping different elements into ranges. However, bar charts represent each element as an individual entity.

9. One measures patterns and one does not

Histograms effectively display trends. This makes it easier for you to spot specific patterns and use the data to forecast upcoming procedures and performances. While bar charts may offer valuable information, the broad categories make it difficult to spot trends or patterns.

10. One shows exact values and one does not

Bar charts better display exact values. Histograms, however, do not display exact values. This is because histograms display data as bins or ranges.

11. Skewness applies to one but not the other

Skewness refers to the asymmetry or distribution of data. Skewness is important in histograms but irrelevant in bar charts. This is due to the fact that a histogram’s columns cannot be moved, unlike those of a bar chart.

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