Dyad x,y plot interpretation

This section gives a mechanical and some technical details to the interpretation of the Dyad x,y plots.

It is hoped that some users from the SenseMaker® practitioners community will create content to walk through practical examples and analyst mindset when using the xy plots.

Smoothing Curves

The workbench provides for linear and non-linear smoothing curves. These give you an overview of the correlation between the x and y axis placements. A quick helicopter view of the shape of the data. This can be particularly useful with very large datasets.

The linear curve does a linear approximation to the correlation of the data, whereas the non-linear curve attempts a closer fit to the actual shape of the plotted data.

Example 1

A negative correlation where the linear and non-linear are close, indicating an even spread of the data along the correlation line

In this case it is showing that significant contributions are contributed by international groups and organisations and as one moves to small contributions, these are progressively contributed by individuals doing something small.

You can see, because on the left side of the graph the line does not go to the top, that the significant examples are not all international groups and organisations. Some examples are from individuals. But as the line on the right hand side drops to the bottom, there is little small contributions from international groups and organisations. In fact, a proportion of just over 1/4 of significant examples are from individuals.

The interpretation is confirmed by a display of the contours and/or dots. This is explained below.

Example 2

This example shows a flat curve indicating that increasing or decreasing the values in one axis has no change in the other.