Citrin Histograms of Categorical and Continuous Data

The main categorical histogram chart types in Citrin are outlined below:

Frequency and relative frequency (%) of categorical or nominal data: The frequency is calculated by the number of unique occurrences of each data group within a variable (see the right-side image below).

Ogive Charts: This chart type is a plot of cumulative relative frequency of categorical data.

Pareto Charts: The Pareto Principle states that "not all of the causes of a particular phenomenon occur with the same frequency or with the same impact". The Pareto chart is designed to graphically display this principle. A Pareto chart is a histogram in which the categories are sorted by occurrence in decreasing order, to which is added a percent cumulative frequency curve.

This chart type can be described as a univariate mosaic plot, or a histogram in which the height of all bars is the same, while their width is proportional to the number of observations of each level of a categorical variable (see the left hand-side image below). The main purpose of a spine plot is to compare the proportions of highlighted observations between the different categories to explore for patterns (see the image below).

These charts are used to display frequency (see the left hand-side image below), relative frequency (%), or cumulative histograms (see the right hand-side image below) of continuous data. You can create a single histogram to show the distribution of values of a single variable, or create a bihistogram for comparing the distribution of values of two variables.

When using histograms, you can:

• Display the bin frequencies in a Citrin table
• Store the bin frequencies in an auto-generated worksheet
• Treat data as integers (in histograms of continuous data)
• Highlight data relationships between histogram bins and their source worksheets (data brushing)
• Generate subsets of data from selected bin data
• X-zoom into categorical data to walk through the hierarchy of categories