Using Q.

How to Make an Importance/Performance Scatterplot in Q
30 January 2019 | by Matt Steele
Popular amongst researchers is the importance vs. performance scatterplot. This is where you have a series of items that you place in a grid, where...

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Using Q
How to Blank Cells with Small Sample Sizes using R in Q
28 January 2019 | by Matt Steele
Many researchers like to suppress statistics that have small sample sizes. This often prevents clients from making false interpretations from the data. In this post,...

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How to Code an Open-Ended Question into a Multiple Response Question in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code a single...

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How to Code Open-Ended Responses with Multiple Mentions in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code multiple open-ended...

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Using Q
How to Reuse Code Frames in Q
23 January 2019 | by Oliver Harrison
Coding open-ended and ‘other/specify’ responses can often be a tedious task for market researchers. In this post I will instead show you how to reuse...

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How to Code Other/Specify Responses in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious and time-consuming task for market researchers, especially when you include an 'Other/specify' option and then need to...

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Using Q
How to Code an Open-Ended Question into a Single Response Question in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code a single...

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Using Q
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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Using Q
How to Relabel Rows and Columns of Tables using R in Q
17 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.

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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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Using Q
How to Blank and Cap Cells of Tables Using R in Q
14 January 2019 | by Matt Steele
After you make a table, you might like to modify the contents of the cells. Perhaps you want to make the table easier to read...

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Using Q
How to Connect to a MySQL Database in Q
09 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 Convert Dates into Different Time Zones in Q
09 January 2019 | by Oliver Harrison
Working with dates and times can be challenging at the best of times, let alone when they are in the wrong time zone or format,...

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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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Using Q
How to Sort your Data with 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
01 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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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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