A histogram is a chart that displays the shape of a distribution. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins.
A histogram uses bars to visualize the distribution of data for how many things, people, or occurrences happened between a range of values on an axis. While histograms look like bar charts, they are different in that each bar is an interval of values of a metric. These bars are called bins or buckets, and together they represent what is called a frequency distribution. A frequency distribution is the display of how often something occurred in a graph, table, or diagram. Histograms are graphs and are one way to visualize frequency distributions.
Histograms in statistics
Histograms are useful for analyzing numerical data sets. Analysts and statisticians use them to analyze patterns of frequency, and visualize a numerical breakdown of what is being collected in the data.
In statistics, histograms are used to graph the probability distribution of the data. This represents the percentage rate chance of any particular data point falling within each range. A probability histogram showcases the data point values that are most likely to occur. A common example is a dice roll, by calculating and displaying the predicted frequency distribution of the different numbers that the dice may land on.
A quick breakdown of histogram data
The bars in a histogram represent numeric bins (Ex. 0-19, 20 - 39, 40- 59, etc.) with data bucketed into a given range (Ex. 0 -100). The distribution that is displayed in the visualization is based on how the bins are divided. For example, you could divide the range 0 - 100 by 5 bins or by 4 bins, making the bin interval either 20 or 25 units.
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13 сен 2024
