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 (Figure 1)

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

Categorical attributes that can be used for the Pie chart would display after any data node from the Data card on the left side of the Data Viewer has been clicked. 

Simply drag and drop the attribute, Sample name as an example here, to the Add data in the middle panel (Figure 3).

A Pie chart that demonstrates the fraction of the whole cell numbers in each sample has been created (Figure 4).

The specific cell number in this category and its percentage of total would appear when a cursor is moved over on it. For instance, the second sample (Sample2) includes 2285 cells which accounts for 36.149% of the total cells in the study (Figure 5).

Configuration card (red rectangle in Figure 6) for Pie chart in Flow includes the options:

• Data: multiple categorical attributes can be added to data source; Users are allowed to rearrange their order by dragging when having multiple categorical attributes (Figure 7).
• Split by: split the current Pie chart by a second categorical attribute (Figure 6)
• Color mode: Unique colors (default), Similar colors.
• Title: Title name, Title font size (16 px as default)
• Style: Order slices by Count or Category

If more than one categorical attribute were added to the data, Pie chart would have two different modes - Pointer mode and Zoom mode (Figure 7). The default is Pointer mode, so if users would like to look closer at some slice please click the Zoom mode first. ↩ represents Reset zoom.

Once you are pleased with the appearance of the Pie plot, push Save image button to save it to the local machine or click Save button to save the Data Viewer. The resulting dialog (Figure 8) controls the Format,Size and Resolution of the image file. The image will be saved in your favorite format (.svg, .png and .pdf).

Additional Assistance

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