A histogram is a plot that summarizes the underlying frequency of a set of data with the variable of interest on one axis and the frequency distribution of that variable in the other axis. In Partek Flow, histogram can be invoked on continuous or categorical variable.

Invoking a histogram

From a data viewer session, drag the histogram icon onto the data viewer canvas click on New plot > Bar chart (Figure 1).

Upon dropping the histogram clinking on the canvas Bar chart menu, a dialogue opens up with the different data nodes sources that can be displayed on the histogram. Select your data node of interest and the content data (Figure 2).

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Histogram of Continuous variables

Change the data displayed on the histogram by using the Configuration settings > Content > Data and Configure > Axes menu and selecting the desired variable to display. Here the data displayed was switched to “Expressed genes” which is a continuous variable (Figure 4).

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The sort menu was changed to Value in the case below and user can now sort Value by either ascending or descending order. Here the Value of expressed genes is sorted by descending order (Figure 6).

Users can color the histograms by a categorical attribute using the Color by function (in red below). The bars were colored by the graph-based classifications in the example below (Figure 76).

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The bars in the histogram above were stacked. They can be unstacked using the Style function menu as seen below in red (Figure 87).

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Users also have the option to bin by either Count or Size. When binned by Count, the user specifies the number of bins for the data and the distribution is fit into the specified number of bins. Data below is binned by Count (Figure 98).

When binned by Size, the user specifies the number of items in the bin (size of a bin). This is used to calculate the number of bins required for the data. Data below is binned by Size (Figure 10).

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Additional Assistance

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