Before you start trying to identify significant effects in your data and fitting models, interrogating your data by eye with simple x/y plots can be extremely useful.
Our eyes and brains are very good at picking out and identifying behaviours or trends in data. So rather than blindly trusting statistics, it is always worth looking at your data first to notice any obvious behaviours you would expect the statistics to be able to identify.
The Synthace Analyse Responses tool has a quick-view responses feature, allowing you to immediately and easily create plots of your data.
In this tutorial you will learn how to:
Create x/y plots of your data
Edit your plots
Colour your data by a third dimension
Interact with your plots
Getting started
How to edit x/y scatter plots
Click on the Start Analysis button in a DOE Prepare Data tool to start a new analysis session.
The Quick-View Responses tab will load ****with four plots by default.
Click on the Settings button beneath one of the plots to edit it.
Select the data you would like to plot on the Vertical or Horizontal axis from the available dropdown menus. You can also choose to colour the data points on the plot by a third variable. In this example choosing to colour the data by another factor’s levels, DiluentToUse.
Adding or removing a plot
In the new plot control panel, select the vertical, horizontal and optional third variable colour data sources and click on Add New Plot.
To remove a plot, click on the remove button under the plot you no longer want.
Interacting with your plots
When you have coloured a plot with a third variable, you can interact with the categorical keys or numerical sliders to filter the visible data.
Create two plots, one coloured by numerical data and another coloured by categorical data.
Move the numerical slider under the first plot to filter out any data points that fall outside of that numerical range.
Click on the categorical colour key under the second plot to toggle off or on the data points for that categoric group.
Well done on making it to the end of this tutorial.
To learn how to plot plate based heat maps of your factors and data, click here.
To learn how to identify significant effects in your data, click here.