Getting Started with Q Part 3: Reporting Made Easy
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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Getting Started with Q Part 4: Visualize the Stories in Your Data
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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Getting Started with Q Part 2: Q is Best Friends with Survey Data
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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Getting Started with Q Part 5: Advanced Analyses
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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Getting Started with Q Part 1: Understand the Q Workflow
09 November 2018 | by Chris Facer

Q makes it easy for market researchers to discover the stories in their data. At Q, we understand market research and the structure of survey

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Focusing the Results of Correspondence Analysis in Q
26 October 2018 | by Jake Hoare

Correspondence analysis is often used to visualize a table of data. When we are interested in a specific row of the table, the results can be focused.

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Simple Web Scraping in Q Using R
15 October 2018 | by Chris Facer

Web scraping (also referred to as web data extraction or web harvesting), is the process of using software to fetch the contents of a web

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3D Correspondence Analysis Plots in Q
07 October 2018 | by Tim Bock

The data In this post I use a table of the following Pick Any – Grid. Correspondence analysis To create a correspondence analysis plot in

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How to Filter Data in Q
04 October 2018 | by Chris Facer

Filtering is the process of selecting part of your sample, and then creating a table, calculation, or other analysis using only that sample. It is

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