After uploading the data set and selecting Asssociation Rules, we have to select a column or a list of columns to group items that are bought together. In this example, it is Member Number which indicates the buyer who purchased the items. There are also other options to adjust for item popularity and filter items by different metrics. After selecting these options and run the analysis, the results will be shown in different charts.
The association graph shows the associations and their strength between different items. The thickness of the edges represents the confidence of the associations. Here we can easily see that ones buying root vegetables likely also buy whole milk, or ones buying yogurt will likely buy rolls/buns. It is worth noting that the associations are not symmetric, for example, ones buying whole milk unlikely aslo buy root vegetables.
Chord digram shows the associations with items arranged radially around a cirle. The arcs connecting two items show association strengths between two items. Note that the widths of arc ends are different as assoications are asymmetric.
The animation below shows an example of how our Assocation Rules works with the above data set.
To learn more about how our Association Rules analysis works, please check out our documentation here.