UPCOMING WEBINAR: DIY Data Cleaning & Prep: Super Fast, Super Good Introduction
Popular amongst researchers is the importance vs. performance scatterplot. This is where you have a series of items that you place in a grid, where one of the axes is performance and the other is importance.
A bit like the scatterplot below:
Requirements
A data set containing variables you want to use as inputs in the driver analysis. Often driver analysis is performed using data for multiple brands at the same time. Traditionally this is addressed by creating a new data file that stacks the data from each brand on top of each other (see What is Data Stacking?). However, when performing driver analysis in Displayr, the data can be automatically stacked.
Method
Step 1: Make your source tables
The first table is a performance table of Q4 Brand Personalities attributes:
Step 2: Run Driver Analysis (Shapley).
Step 3: Create the visualization
- From the toolbar, select Visualization
> Scatter > Labeled Scatter
- In the X coordinates box, select your performance table
- In the Y coordinates box, select your Driver Analysis model
The results are as follows:
You can use the Chart > Quadrants section to add quadrants to your visualization if needed, see How to Create a Quad Chart.
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How To Stack Data for Driver Analysis