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)
Figure 1. Drag histogram plot (red rectangle) onto data viewer canvass
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).
Figure 2. Select Normalized count data node (red) to display on histogram plot
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).
Figure 3. Histogram showing the distribution of AIBG expression (red)
Histogram of Continuous variables
Change the data displayed on the histogram by using the Configuration settings > Content > Data and selecting the desired variable to display. Here the data displayed was switched to “Expressed genes” which is a continuous variable (Figure 4).
Figure 4. Histogram showing the distribution of expressed genes variable (red rectangle)
A Pie chart that demonstrates the fraction of the whole cell numbers in each sample has been created (Figure 4).
Figure 5. Example Pie chart with samples.
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).
Figure 6. The mouseover example Pie chart.
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
Figure 7. Configuration and splitted example of Pie chart.
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.
Figure 8. Different modes of Pie Chart.
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).
Figure 9. Save image dialog (default settings)
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