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Unlock the power of free-form text data analysis. Learn how to use coding, AI text analytics, and word clouds for survey text analysis.

Traditionally, the primary statistic of interest for categorical data is the percentage of the cases in the data that fall into each category. However, there…

Most of the widely used cluster analysis algorithms can be highly misleading or can simply fail when most or all the observations have some missing values.

How to enter data from Paper Surveys. Displayr's Matt Engdahl explains the process in a step by step guide.

Sample size: What is the smallest number of data points required in the survey or experiment? Data scientist Tim Bock explains in this informative article.

Learn how to create a color-coded Word Cloud based on sentiment to reveal the prominent words and their tone.

Data checking is a bore (and a step we skip at our peril!). The laundry-list of data checking tasks can be seemingly endless: identifying bogus respondents,…

This post describes the single biggest time saving technique that I know about for highlighting significant results on a table. That is just one table that show...

Most cluster analysis algorithms ignore all of the data for cases with any missing data. I explain & compare the five options for dealing with missing data.