Histogram overview

Histogram overview

A histogram is a graphical representation of the distribution of numerical data. It uses bars to represent the frequency of data within specified intervals or bins. The height of each bar corresponds to the number of data points falling within that range. Unlike bar charts, histograms depict continuous data, and there are no gaps between the bars unless the bin has zero frequency.

Within Sigma Magic, histograms for discrete data are shown as bars of zero thickness.

Histograms are used for several reasons:
Application
Description
Visualizing Distribution
It indicates the shape of the data distribution, such as normal, skewed, uniform, or bimodal.
Understanding Variability
It depicts how data points are spread across different intervals.
Identifying Patterns
It helps detect outliers, gaps, or clusters in the data.
Comparing Distributions
Histograms can be used to compare distributions across different datasets or groups.
Data Summarization
It summarizes large datasets effectively by grouping data into manageable intervals.

Reference: Some of the text in this article has been generated using AI tools such as ChatGPT and edited for content and accuracy.

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