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Using Displayr Advanced Customization of Bubble Charts for Correspondence Analysis in Displayr
08 July 2017 | by Tim Bock

When you insert a bubble chart in Displayr (Insert > Visualization > Labeled Bubbleplot), you can customize some aspects of its appearance from the controls that appear in the object inspector on the right of the screen. More advanced customizations…

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Using Displayr Using Partial Least Squares to Conduct Relative Importance Analysis in Displayr
16 June 2017 | by Jake Hoare

Partial Least Squares (PLS) is a popular method for relative importance analysis in fields where the data typically includes more predictors than observations. Relative importance analysis is a general term applied to any technique used for…

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copying-R-objects How to Link Documents in Displayr
08 June 2017 | by Carmen Chan

Sometimes it is helpful if one Displayr document can refer to information in another document. For example, one document may contain an analysis of sales data, and you may want to include some aspect of…

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Gradient boosting Gradient Boosting – The Coolest Kid on The Machine Learning Block
06 June 2017 | by Jake Hoare

Gradient boosting is a technique attracting attention for its prediction speed and accuracy, especially with large and complex data. Don’t just take my word for it, the chart below shows the rapid growth of Google…

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Using Support Vector Machines Using Support Vector Machines in Displayr
05 June 2017 | by Jake Hoare

Support vector machines (SVMs) are a great machine learning tool for predictive modeling. In this post, I illustrate how to use them. For most problems SVMs are a black box: you select your outcome variable and…

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Using Displayr How to Analyze MaxDiff Data in Displayr
23 May 2017 | by Chris Facer

This post discusses a number of options that are available in Displayr for analyzing data from MaxDiff experiments. For a more detailed explanation of how to analyze MaxDiff, and what the outputs mean, you should read the…

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correspondence analysis movements Using Correspondence Analysis to Compare Sub-Groups and Understand Trends
22 May 2017 | by Tim Bock

This post shows how to use correspondence analysis to compare sub-groups. It focuses on one of the most interesting types of sub-groups: data at different points in time. This is variously known as trend, tracking, longitudinal and time series data. The end-goal…

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correspondence analysis Easily Add Images to a Correspondence Analysis Map in Displayr
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. Better still, you don’t need to paste in the images after the analysis is complete – you can include them right…

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Using Displayr How to Create a MaxDiff Experimental Design in Displayr
17 May 2017 | by Tim Bock

Creating the experimental design for a MaxDiff experiment is easy in Displayr. This post describes how you can create and check the design yourself. If you are not sure what this is, best to read A…

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Using Displayr Creating tables with multiple variables (filters and multiway tables)
02 May 2017 | by Tim Bock

It is super-simple to create a table involving one variable in Displayr: just drag it from Data (bottom-left) of the screen onto a page, and tables are automatically created. Making a table involving a second…

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The NPS Recoding Trick: The Smart Way to Compute the Net Promoter Score
04 April 2017 | by Tim Bock

  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…

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Using Displayr Assigning Respondents to Clusters/Segments in New Data Files in Displayr
30 March 2017 | by Tim Bock

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…

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