How to.
I'll show you three simple methods of analyzing free-form text data from open ended survey questions and explain when you might use each.
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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…
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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.
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How to enter data from Paper Surveys. Displayr's Matt Engdahl explains the process in a step by step guide.
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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.
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How to create color-coded Word Cloud, with colors are based on sentiment. Step-by-step instructions with a free tool for creating sentiment in Word Clouds.
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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,…
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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...
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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.
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