Key driver analysis techniques, such as Shapley Value, Kruskal Analysis, and Relative Weights, are useful for working out the most important predictor variables for some outcome of interest (e.g., the drivers of satisfaction or NPS). But,…

The rhtmlLabeledScatter package on github attempts to solve three chronic challenges with labeled scatterplots: readability with large numbers of labels, bubbles, and the use of images. Four tools for dealing with overlapping labels 1….

Shapley regression is a popular method for estimating the importance of predictor variables in linear regression. This method can deal with highly correlated predictor variables that are frequently encountered in real-world data. Shapley regression has been gaining popularity…

Shapley regression and Relative Weights are two methods for estimating the importance of predictor variables in linear regression. Studies have shown that the two, despite being constructed in very different ways, provide surprisingly similar scores1Grömping, U. (2015). Variable importance in…

Heatmaps are cool. Most people like them. They are so much prettier than a bar chart. The one below, created in Making your data hot: heatmaps for the display of large tables, is both nice to…

There is a war in the world of visualization. It is about chartjunk. Designers like to create charts like the one above. Many data viz experts think that such visualizations are appalling, calling the illustrations “chartjunk”….

The Net Promoter Score is most people’s go-to measure for evaluating companies, brands, and business units. However, the the standard way of computing the NPS – subtract the promoters from the detractors – is a bit of…

Once you have created segments or clusters, you may find it useful to assign people in other data sets to the segments (a process also known as segment tagging and scoring). For example, you may want to tag…

Once you have created segments or clusters, it is often useful to assign people in other data sets to the segments (this is also known as segment tagging and scoring). For example, you may want to tag a…

I have previously shown how Sankey diagrams can easily be used to visualize response patterns in surveys and to display decision trees. Following on from these posts, I will now be getting a bit more technical,…

If you have spent much time analyzing survey data, then you have probably spent a lot of time validating it. This normally entails checking that the number of people answering the different questions in a survey make sense. Where…

Sometimes tables are just too big to read. The table below shows the personality attributes that people associate with different iconic brands. A table too big to read easily and too big to show…