Lots of New Automated Options for Transforming Data
13 April 2022 | by admin

We’ve been working hard to have all the most common transformations of data available in a single easy-to-use menu. When you select a variable (or

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Automatically Categorize Geographic Data (e.g., Zip/Post Codes)
13 April 2022 | by admin

Q’s now got a great feature for automatically categorizing geographic data. It is run by selecting a variable and then Automate > Browse Online Library

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Automatically Band Numeric Variables
13 April 2022 | by admin

A common thing to do with data analysis is to categorize (i.e., band) some numeric data. Q now fully automates this via Automate > Browse Online

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Automatically Impute Missing Values
13 April 2022 | by admin

Sometimes you have some missing data and you want to work out what people would have said. Maybe it’s a political poll and they said

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Automated Calculations Using Tables as Inputs
13 April 2022 | by admin

All the common calculations that you may want to do on a table can now be done using menus. For example, let’s say I wanted

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New “Smart” Sorting of Rows in Tables
13 April 2022 | by admin

Q version 5.13.1 now supports “smart” sorting of tables, where it leaves SUM, NET, Other, and None responses at the bottom. For example, when you

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Converting older PowerPoint documents for “fast” updating from Q
30 April 2021 | by Andrew Kelly

Q5.12 or later features improvements to how PowerPoint files are updated and created. It’s a much faster and more reliable way of working. You can

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“Fast” PowerPoint exporting and updating: A Q workflow
30 April 2021 | by Andrew Kelly

We’ve recently made improvements to how Q creates and updates PowerPoint files. Until now most Q users export to an open PowerPoint file, adding or

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How to Fit a Structural Equation Model in Q
18 November 2020 | by Tim Bock

In this post I am going to walk through the steps of fitting a structural equation model (SEM) in Q. The post assumes that you

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Formatting Data for Running Conjoint in Q
20 August 2020 | by Oliver Harrison

This post will walk you through how to format your respondent-level conjoint data when programmed using your survey platform of choice. There are many survey

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How to set Value Attributes for a Pick Any and Pick Any-Grid
30 June 2020 | by Elizabeth Kucko

This title could have also been “Help, my Pick Any shows all 100%!” because this issue comes up for fairly frequently for Q users. Pick

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Channel Q – Episodes 1 & 2 – Q&A on Brand Tracking
06 December 2019 | by Matt Munley

In our inaugural Channel Q episode, we wanted to cover questions submitted by our users on Brand Tracking. Due to time, we covered these questions

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How to Automatically Code Unstructured Text Data in Q
19 November 2019 | by Kris Tonthat

Text data is one of the great pains of survey analysis. Open-ended questions allow us to obtain data that is less biased by our preconceptions.

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How to Automatically Extract Entities and Sentiment from Text
19 November 2019 | by Kris Tonthat

Text data often refers to entities, such as people, organizations, or places. These entities can be automatically extracted from text data, and then used in

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Automatic List Categorization of Text Data with Q
19 November 2019 | by Kris Tonthat

It can often be difficult and time-consuming to organize raw text data into meaningful insights. Manually coding even a single text question can take several

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How to Automatically Categorize Unstructured Text Data
19 November 2019 | by Kris Tonthat

Categorizing text data can be a time-consuming and expensive activity.  In cases where time is short and budgets low, using automatic categorization of text data

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How to Create Alternative-Specific Choice Model Designs in Q
15 November 2019 | by Kris Tonthat

In a standard choice experiment, respondents are presented with alternatives which have a common set of attributes. Alternative-specific designs relax this requirement and are designed to

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How to Make an Area Chart in Q
15 November 2019 | by Kris Tonthat

An area chart is based on a line chart, but with the area between the line and the x-axis shaded or colored to illustrate volume.

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How to find the highest rated item within a set of questions
09 September 2019 | by Kris Tonthat

Determining the highest rated item within a set of questions involves creating a variable that examines the responses of each respondent, and identifies the question

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How to create a table of ranks from a crosstab
09 September 2019 | by Kris Tonthat

  Creating a table of ranks from a crosstab is a simple process in Q. All it requires is a little snippet of R code.

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How to Edit a Displayr Document in Q
06 August 2019 | by Chris Facer

If you have a license for Displayr’s desktop sister, Q, you may sometimes wish to add some things to your Displayr document from within Q.

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How to Remove a Row or Column using R in Q
06 August 2019 | by Matt Steele

You can use R in Q to create bespoke tables and do flexible data manipulations. In doing so, you end up with tables within R

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How to Combine Separate Questions into a Grid in Q
23 July 2019 | by Elizabeth Kucko

One of the standout features of Q is its ability to automatically group variables into questions and identify the question type. This works best when

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Moonplots: A Better Visualization for Brand Maps
03 July 2019 | by Tim Bock

A correspondence analysis is the standard tool for creating brand maps. It shows which brands compete with which other brands and the basis for that

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