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).

The first row in the data will be displayed by default in the histogram and in this case, it is the histogram of the expression values for the gene A1BG (Figure 3).

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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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Use the "Sort by" function to sort the plot. The default sorting is by Value on the x-axis and this default setting is sorted in ascending order. Users have the option to change that by changing the Default to value or frequency in the sort option (Figure 5)

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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 6).

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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 5bars in the histogram above were stacked. They can be unstacked using the Style menu as seen below in red (Figure 7).

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

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 8).

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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).

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).

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Click the Save image button Image Added to save a PNG or SVG image to your computer. 

Click the Send to notebook button Image Added to send the image to a page in the Notebook. 

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Additional Assistance

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