How to Create a Box Plot in Q
21 January 2019 | by Chris Facer

Box plots are a tidy way to illustrate statistical properties of a set of numeric data. A box plot will typically show you the median

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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 Connect to a MySQL Database in Q
06 January 2019 | by Tim Ali

Having the ability to connect to a SQL database can provide greater opportunities for analyzing data sources. In this blog I will show you how

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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 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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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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Getting Started with Q
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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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.

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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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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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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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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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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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How to Export Updatable Text to PowerPoint from Q
19 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
19 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 leach location

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How to do Traditional Correspondence Analysis in Q
18 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 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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How to Create a Pie Chart in Q
16 October 2018 | by Chris Facer

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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