Great summary. My stats teacher explained some of these concepts but the continuous vs. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Key Differences Between Histogram and Bar graph The differences between histogram and bar graph can be drawn clearly on the following grounds: Histogram refers to a graphical representation; that displays data by way of bars to show the frequency of numerical data.
A bar graph is a pictorial representation of data that uses bars to compare different categories of data. 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. The histogram is drawn in such a way that there is no gap between the bars.
On the other hand, there is proper spacing between bars in a bar graph that indicates discontinuity. Items of the histogram are numbers, which are categorised together, to represent ranges of data. As opposed to the bar graph, items are considered as individual entities. In the case of a bar graph, it is quite common to rearrange the blocks, from highest to lowest. But with histogram, this cannot be done, as they are shown in the sequences of classes. The width of rectangular blocks in a histogram may or may not be same while the width of the bars in a bar graph is always same.
They should be attached to each other. The x-axis can represent anything. The x-axis should represent only continuous data that is in terms of numbers.
We can understand these differences from the following figure: Thus, we have seen the basic differences between a bar graph and a histogram. Explore math program. Explore coding program. Histogram chart A histogram chart looks like bar chart. Histogram chart In the previous screenshot, bin value is set to 20, so the x-axis is split with 20 as the interval. To display the frequency of occurrences.
Indicates Discrete values. Non-discrete values. Data Categorical data. Quantitative data. Rendering Each data point is rendered as a separate bar. The data points are grouped and rendered based on the bin value. Space between bars Can have space. No space. Reordering bars Can be reordered. Cannot reordered. Axis label placement Axis labels can be placed on or between the ticks.
Axis labels are placed on the ticks. Required values x and y. Only y. Chart , Data Visualization. Share this post:. Jayavigneshwaran G. Jayavigneshwaran is a Product Manager at Syncfusion. He has been a web developer since and working on the custom control development. He is passionate about web technologies, who publishes articles to help the web developers.
Currently, he is exploring mobile application development using Flutter. Comments 1 Akbar.
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