How to Relabel Rows and Columns of Tables using R in Q
21 January 2019 | by Matt Steele

Q enables you to flexibly mix data from different tables. The mixing process creates a new table as an R Output. Consider the example table

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How to Do Principal Components Analysis in Q
16 January 2019 | by Chris Facer

Principal Components Analysis (PCA) is a technique for taking a large number of variables and creating a new, smaller set of variables. These aim to

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How to Create a Banner in Q
07 January 2019 | by Daren Jackson

In constructing crosstabs, it can be helpful to see more than one question on an individual axis. Other instances may require labels to be “nested”,

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How to Sort Your Data using R in Q
02 January 2019 | by Matt Steele

Automatically sorting your tables and charts is a key thing researchers like to do. Q has lots of ways to do this for you automatically

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How to Select a Random Sample in Q
02 January 2019 | by Oliver Harrison

There are occasions when you have collected more records than necessary for a survey and you want to randomly remove the surplus or you simply

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How to Do Filters, Banners and Stat Testing in Q
12 November 2018 | by Chris Facer

In this article, I show you how quick and easy it is to make all the tables you need for your report. I look at

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New Ways To Visualize Common Charts
12 November 2018 | by Chris Facer

Q understands how important visualizing data can be in finding and communicating the story you want to tell with your data. Q has a selection

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Changing the Way Your Data Looks so You Can Do More with It
12 November 2018 | by Chris Facer

Q understands the language of survey data, and this allows it to automate important aspects of your workflow. It sets up your data in a

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How to Do Advanced Analysis in Q (No Need to Rely on Others)
12 November 2018 | by Chris Facer

Q can do so much more than generating tables. You can do segmentation, key driver analysis, MaxDiff, and a whole range of other advanced techniques.

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