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Scatter Plot and Line Graph

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Mitchell Buckley

The scatter plot and line graph functions within CDD Vault are great tools for visualizing data between two variables that are not expected to follow a specific mathematical model or when the goal is to just simply visualize the relationship between two variables. In addition to the scatter plots generated in the powerful and intuitive visualization tool, users can now generate scatter plots at the protocol level and view these within the search results table. 

To implement the scatter plot or line graph plot type, users can follow these steps:

  1. Creating readouts for X and Y input data such as timepoint and bodyweight, respectively
  2. Creating a plot type readout to generate the curve fit
  3. Data calculations for different intercepts (optional)
  4. Editing and saving the curve

Lets work through an example where we will implement this curve fit:

Create a numerical readout for the X-axis values:

Create a numerical readout for the Y-axis values:

Create a readout definition either for the scatter plot or line graph plot type:

Pro tip: Create conditional readouts for parameters such as species or route of administration, for example.

Our protocol now captures our input data and automatically generates two plots with no particular mathematical fit, a scatter plot and a line graph, for each entity per run of the protocol. As shown below, be sure to customize your report to include the relevant auto calculated parameters such as area under the curve or maximum measured. See below for a full list of auto-calculated parameters.

The following parameters will automatically be calculated by CDD Vault for both the scatter plot and line graph:

  • Area under the curve - observed
  • Maximum measured
  • Minimum measured
  • N

Area under the curve:

  • The CDD Vault AUC is calculated as the (positive area - negative area) under the curve where:
    • The curve is defined as straight line connections between responses, not the fitted curve (Linear Trapezoidal Non-uniform grid method)
    • Units are response units * independent units
    • The baseline is set at the negative control mean or 0 if control data is not available

Additional calculations:

Please note that all auto-calculated parameters listed above can be used in custom calculations as separate readouts. These parameters can be accessed within our robust formula editor.