String splitting is the process of breaking up a text string in a systematic way, so that the individual parts of the text can be…

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Timestamps are common in survey data. Sometimes we need calculate the difference between two timestamps. To do so, we need to convert them from being…

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Running a survey can be expensive and time-consuming. Luckily you can use simulated data to check and compare your survey design, saving you time and…

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The Net Promoter Score (NPS) is a method for indexing a person’s willingness to recommend a product or service to others. It is defined as…

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There a two different methods of creating a bar chart in Q - using the built in chart options or R visualizations. I'll show you both.

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Data stacking is a data preparation step where a data set is split into subsets, and the subsets are merged by case (or stacked on…

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A Pyramid chart is a bar chart where the bars grow out from the center, rather than from the left or right. Pyramid charts are…

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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…

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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…

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A correlation matrix is a table of correlation coefficients for a set of variables. They are often used to determine if a relationship exists between…

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You can use Q to create automatically updating think-cell charts in Powerpoint, making it easier than ever to present your data.

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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.

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A pictograph bar chart uses multiple icons to represent the values in each bar. Pictograph bar charts can make a visualization more recognizable and interesting.…

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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.

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You can use Q to smooth time series data in two ways: by adding a trend line to a Visualization chart, or by using Time Series charts.

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In Q, trend lines can easily be added to many Visualizations. Trend lines can be linear or non-parametric (cubic splines, Friedman’s super smoother, LOESS).

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Knowing how to calculate penalty analysis is an important part of every market researcher's skillset. I'll explain what it is and how to calculate it in Q.

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You have a data set and you need to quickly organize it to perform your data analysis. Learn how to aggregate your data in Q with these easy steps.

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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.

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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.

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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.

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R is not just a tool for the data science elite. It is an immensely powerful tool that can be used by market researchers in…

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When working in Q, there are situations in which you may want to save a new copy of your data file. Some examples include: Removing…

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The purpose of the Data tab is to provide a view of the raw data being analyzed in Q. Each row in the Data tab…

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