Create a Line Plot
- Navigate to the data grid you want to visualize. We will use the Lab Results dataset from the example study for this walkthrough.
- Select (Charts) > Create Chart. Click Line.
- The columns eligible for charting from your current grid view are listed.
- Select the X Axis column by drag and drop, here "Date".
- Select the Y Axis column by drag and drop, here "Lymphs".
- Only the X and Y Axes are required to create a basic line plot. Other options will be explored below.
- Click Apply to see the basic plot.
This basic line chart plots a point for every Lymph value measured for each date, as in a scatter plot
, then draws a line between them. When all values for all participants are mixed, this data isn't necessarily useful; we might want to separate by participant to see if any patterns emerge for individuals.
Line Plot Customizations
- Customize your visualization using the Chart Type and Chart Layout links in the upper right.
- Chart Type reopens the creation dialog allowing you to:
- Change the X or Y Axis column (hover and click the X to delete the current selection).
- Select a Series column (optional). The series measure is used to split the data into one line per distinct value in the column.
- Note that you can also click another chart type on the left to switch how you visualize the data with the same axes when practical.
- For this walkthrough, drag "Participant ID" to the Series box.
- Click Apply.
Now the plot draws series' lines between values for the same subject, but is unusably dense. Let's filter to a subset of interest.
- Click View Data to see and filter the underlying data.
- Click the ParticipantID column header and select Filter.
- Click the "All" checkbox in the popup to unselect all values. Then, check the boxes for the first 6 participants, 101-606.
- Click OK.
- Click View Chart to return. Now there are 6 lines showing values for the 6 participants, clearly divided into upward and downward trending values.
- This is merely example data, but we can use the line plot tool to check a hypothesis about cohort correlation.
- Click Chart Type to reopen the editor.
- Drag "Study: Cohort" to the Series box. Notice it replaces the prior selection.
- Click Apply.
Now the line plot shows a line series of all points for the participants in each cohort. Remember that this is a filtered subset of (fictional) participants, but in this case it appears there is a correlation. You could check against the broader dataset by returning to view the data and removing the filter.
Change Chart Layout
The Chart Layout
button offers the ability to change the look and feel of your chart.
There are four tabs:
- Provide a title to display on the plot. The default is the name of the source data grid.
- Provide a subtitle to display under the title.
- Specify a width and height.
- Control the point size and opacity, as well as choose the default color, if no "Series" column is set.
- Control the line width.
- Hide Data Points: Check this box to display a simple line instead of showing shaped points for each value.
- Change the display labels for the axis (notice this does not change which column provides the data).
- Specify a manual range if desired.
- Developer: Only available to users that are members of the "Site Developers" permission group.
Save and Export Plots
- When your plot is finished, click Save.
- Name the chart, enter a description (optional), and choose whether to make it viewable by others. You will also see the default thumbnail which has been auto-generated, and can choose whether to use it. As with other charts, you can later attach a custom thumbnail if desired.
Once you have saved a line plot, it will appear in the Data Browser
and on the
(charts) menu for the source dataset. You can manage metadata about it as described in Manage Data Views
Hover over the chart to reveal export option buttons in the upper right corner:
Export your completed chart by clicking an option:
- PNG: create a PNG image.
- PDF: generate a PDF file.