These legacy chart views are no longer under active development. For current versions of these features, see:

Chart Views

Chart Views are a legacy chart type, supporting creation of several types of graphs for visualizing datasets.

Time and Scatter Plots. A time plot traces the evolution of a particular measurement over time while a scatter plot displays a series of points to visualize relationships between measurements. Chart Views can contain both time plots and scatter plots on a single page.

Participant Charts. Ordinary charts display all selected measurements for all participants on a single plot. Participant charts display participant data on a series of separate charts. One chart for one participant is displayed at a time. When a Chart View is composed of participant charts, users can step through the Chart View participant-by-participant to see charts for each individual. Both time plots and scatter plots can be displayed as participant charts.

Create Chart View

The chart designer lets you choose whether to create a time plot or a scatter plot.

Time Plots: A time plot charts one or more measures (on the Y axis) over time (on the X axis). Lines connect time measurements.

Scatter Plots: A scatter plot charts one or more numeric measures (on the Y axis) against a second numeric measure (on the X axis).

Horizontal Axis: Time Plots. If you have selected a time plot, you will choose a measure of time for the X measurement. The fields displayed in the list for the X measurement are the dataset fields of type Date/Time.

Horizontal Axis: Scatter Plots If you choose a scatter plot, you can select any measurement included in your dataset as the X vector.

Vertical Axis: Choose a Y measurement to plot against your chosen X. Note that you can select multiple values by holding down the Ctrl key.

Axis Options: You can also choose whether the axes are logarithmic, set the height and width of the plot in pixels.

If you select Single plot option, then a single chart will be created, where multiple y-values are plotted against one set of x-values all on the same x- and y-axes, as shown below.

Check the Participant Chart checkbox to create one chart for each participant. The default chart for all participants at once can get very crowded in the preview.

If you check the Multiple Y axis checkbox, then a separate metric will be provided for each Y-axis (see below). If left unchecked, a single metric will be provided (see above).

If you select Multiple plot option, then multiple charts will be created, one chart for each set of vertical measurements.

Select Refresh Chart to preview the chart(s) to be created.

Example Charts

Once you save your chart, you can view it (or the underlying data) in a tabbed UI. When you've checked the Participant Chart checkbox, you can step through participants using previous/next links.

Time Plot. A time plot that shows various measurements recorded over time:

Scatter Plot. A scatter plot that graphs "Diastolic vs. Systolic Blood Pressure":

Save. The "Save" button, located at the top of the chart designer page, takes you to the Save Chart View dialog. Specify a name for the Chart View and select the appropriate dataset from the drop-down menu (labeled with Add as a Custom View for:). By default, the chart view is associated with the dataset used to create it.

Access Chart View. Your newly-created Chart View can be accessed through the Charts drop-down menu on the dataset's grid view. It will also appear on the Clinical and Assay Data tab.

Creating an Embedded Chart

You can create a chart that is embedded within a dataset. Click on a participant ID in a dataset grid view to display data as a Participant View. Next, expand the dataset of interest and by clicking on its name. Click the Add chart link to display the chart designer. Create a time plot or scatter plot as described above, click Refresh Chart to preview, then click Save to create the chart.

In the future, when you go to a Participant View (by clicking on a participantID in a dataset grid view), you will see this chart plotted for each participant when you scroll through participants using the Previous Participant and Next Participant links.

This example shows a time plot for one participant:

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