Market Research.

Market research is used to figure out how things work. This is often by systematically gathering data about people or companies using surveys.

Here, we write about the main market research techniques. These techniques include correspondence analysis, MaxDiff, and choice modeling. We also share tips and tricks for significance testing. And how to best present market research findings using PowerPoint and online dashboards (sometimes considered a better alternative to PowerPoint) are explored.

Writing a Questionnaire for a Conjoint Analysis Study
14 November 2018 | by Tim Bock
The hard bit of designing a choice-based conjoint analysis (choice modeling) study is creating the experimental design. However, there are a few others parts of...

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Main Applications of Conjoint Analysis
14 November 2018 | by Tim Bock
Ready to dive further into conjoint analysis? In this post I describe the main applications of choice-based conjoint analysis (choice modeling; CBC).

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choice modeling
Conjoint Analysis: The Basics
14 November 2018 | by Tim Bock
Choice-based conjoint analysis is a technique for quantifying how the attributes of products and services affect their performance. It is used to help decision makers...

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Using Q
How to Extract Column Comparison Letters into a Table Automatically in Q using R
02 November 2018 | by Matt Steele

In recent posts we’ve discussed how you can reference source tables using R in Q to manipulate the statistics into a new custom table. In

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Using Q
Comparing your Results to the Previous Period in Q
01 November 2018 | by Matt Steele

Q has a terrific feature whereby it can automatically compare statistics against the previous period (of time). This is great for tracking scenarios, when you

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Tips for Recoding Missing Values in Q
01 November 2018 | by Matt Steele

Missing values in a data set are “blank” values. They are normally associated with survey skips. Those who skip a variable/question receive a missing value. Missing

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Using Q to Make a Snake Plot in PowerPoint
31 October 2018 | by Matt Steele
Snake plot is the term used to describe a line chart on its side. So rather than the lines running left-right (x-axis) they run up-down (y-axis)

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Focusing the Results of Correspondence Analysis in Displayr
29 October 2018 | by Jake Hoare
Correspondence analysis is often used to visualize a table of data. The goal is to represent as much information as possible, as accurately as possible. However,...

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How to Make a Histogram in Q
26 October 2018 | by Daren Jackson
Histograms may look like bar charts, but they plot data in an entirely different way. While bar charts depict the frequency of occurrences, or averages,...

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How to Create a Heatmap in Q
23 October 2018 | by Daren Jackson
Heatmaps are a powerful visualization for depicting the distribution of data. Unlike traditional charts, like bar charts or pie charts, heatmaps are represented by matrices....

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Using Q
How to Make a Column Chart in Q
22 October 2018 | by Daren Jackson
The most standard way for graphically representing categorical data is with a column chart. The advantage of using column charts is that you can easily...

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density plot example
How to Create a Density Plot in Q
22 October 2018 | by Chris Facer
A density plot is a smoothed histogram. Like the histogram, they are used to visualize the distribution of numeric values. A smoothing algorithm is applied...

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Using Q
How to Calculate Sentiment Scores for Open-Ended Responses in Q
18 October 2018 | by Matt Steele
Sentiment analysis is a way to quantify the feeling or tone of written text. In a survey context, this is a useful technique for gauging...

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Using Q
How to Export Updatable Text to PowerPoint from Q
17 October 2018 | by Chris Facer
Most Q users would be familiar with Q's PowerPoint export options. The normal option allows you to export your tables to PowerPoint and create charts...

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How to Make a Geographic Map in Q
17 October 2018 | by Tim Ali
Geographic map visualizations are a great way to show comparative values across countries, states, or regions. The geographic map shades the color of each location...

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Using Q
How to do Traditional Correspondence Analysis in Q
16 October 2018 | by Chris Facer
Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Tables with more than a handful...

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How to Create a Pie Chart in Q
14 October 2018 | by Tim Ali
One of the most basic and widely used visualizations is the pie chart which has been around since 1801! Pie charts are very effective when...

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Simple Web Scraping in Q Using R
13 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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