
Survey data is often provided in binary file formats which contain metadata about how the data is structured. A common form is the Stata DTA format.
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There are three methods of reading Excel files into Q. I'll show you all three and explain when you might one to use each one.
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It's easier than you think to create new variables with JavaScript. We'll show you how to create, combine, split and transform your data into new variables.
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R is not just a tool for the data science elite. It is an immensely powerful tool that can be used by market researchers in…
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When working in Q, there are situations in which you may want to save a new copy of your data file. Some examples include: Removing…
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The purpose of the Data tab is to provide a view of the raw data being analyzed in Q. Each row in the Data tab…
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There are some situations when your survey data file may contain duplicate values in your record identifier field. This can occur, for example, when some…
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The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…
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Q Research Software, like SPSS, is a powerful analysis and reporting platform for market researchers. However, Q has lots of distinct advantages over SPSS. Here…
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Van Westendorp analysis, common in market research, aims to find the optimal price point at which to sell a good or service. You find this…
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If you are a Q user, then you will very easily be able to transfer your work by uploading your Q Project directly into Displayr - ready for go!
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In our last post on visualizations, we looked at how easy it is to generate visualizations in Q. In that post, we outlined how you can…
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Visualizations bring the relationships in your data to life through engaging graphics – all at the tip of your fingers in Q5. These visualizations are made…
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Correspondence Analysis in Q
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The table above is what I call an old-school crosstab. If you squint, and have seen one of these before, then you can probably read it.
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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…
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This post discusses a number of options that are available in Q for analyzing data from MaxDiff experiments. For a more detailed explanation of how to…
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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…
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You can take your correspondence analysis plots to the next level by including images. Here is a guide to creating them in Q.
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This post describes how to create and check a MaxDiff experimental design. If you are not sure what this is, best to read A beginner’s…
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Relative importance analysis is a general term applied to any technique used for estimating the importance of predictor variables in a regression model. The output is…
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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…
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