# Step 2: Jaccard resemblance

#### Calculate the Jaccard resemblance
From the '<ins>Molluscs</ins>' data sheet, click **Analyse** > **Resemblance...**.

[![09a_Analyse_Resem.png](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/scaled-1680-/09a-analyse-resem.png)](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/09a-analyse-resem.png)

In the 'Resemblance' dialog, choose ($\bullet$Other) and then click on the drop-down menu to find '<ins>S7 Jaccard</ins>', then click **OK**. (Note: 'S7' refers to the nomenclature used by {{@483#bkmrk-legendrelegendre2012}} in their Chapter 7 on measures of ecological resemblance).

[![09d._Jaccard_full_final.png](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/scaled-1680-/09d-jaccard-full-final.png)](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/09d-jaccard-full-final.png)

This produces a Jaccard similarity matrix among all pairs of holdfasts, called '<ins>Resem1</ins>' by default. A nice feature of the Jaccard similarity measure is that it is directly interpretable as the percentage of shared species. For example, the first two holdfasts in the data matrix have a Jaccard similarity of 33.33%, so approximately one-third of the species that occur in either one or the other holdfast occur in both of them (i.e., are jointly present).

You can re-name this '<ins>Jaccard</ins>' (click on the name '<ins>Resem1</ins>' in the Explorer tree and hit the 'F2' key to re-name it), for clarity in what follows.

[![10._Jaccard_resem_output.png](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/scaled-1680-/10-jaccard-resem-output.png)](https://learninghub.primer-e.com/uploads/images/gallery/2024-04/10-jaccard-resem-output.png)