Blog

Q contains several useful built-in mathematical functions that make it easy to do calculations on your existing data without having to write JavaScript, Excel formulas…

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”,…

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…

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…

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…

The traditional means for outputting categorical data is with percentages representing each category’s share of the total sample. However, there are a range of cases…

Sorting data can assist you to understand, analyze, and visualize it. In Q, sorting is most often done to improve the way tables or charts…

Every market researcher needs to know how to create a top 2 box score. Today, I'll show you how to easily create and present one in Q.

Q can compute moving averages from variables or tables. These can be displayed as trends in a chart or as a table of values for downstream analysis.

Survey data is often provided in binary file formats which contain metadata about how the data is structured. A common form is the Stata DTA format.

There are three methods of reading Excel files into Q. I'll show you all three and explain when you might one to use each one.

It's easier than you think to create new variables with JavaScript. We'll show you how to create, combine, split and transform your data into new variables.