Qualitative data

As explained in Data Without Labels

Qualitative data consists of nonnumeric observations or categories that are not measured or weighed directly.

Qualitative data consists of observations or classifications that cannot be measured or weighed directly. It is also called categorical data and is observed subjectively. section 1.2.2

Qualitative data has three common subcategories:

• Binary data has two mutually exclusive classes, such as yes/no or true/false. section 1.2.2
• Nominal data contains categories without an inherent sequence, such as languages, colors, cities, or service types. section 1.2.2
• Ordinal data contains categories that can be ordered, such as fast/medium/slow or positive/neutral/negative. section 1.2.2

Figure 1.2 The divisions and subdivisions of data

Use the data-classification diagram to locate qualitative data alongside its binary, nominal, and ordinal subdivisions. section 1.2.2

How Data Without Labels covers it

How deep it goes

Defines qualitative data and distinguishes binary, nominal, and ordinal categories with examples.

Examples

Uses taste, color, odor, names, cities, product quality, gender, languages, and service types as examples.

What you can do after

Evaluate whether observations belong to binary, nominal, or ordinal qualitative categories.

How it connects

Connects qualitative data with categorical variables, quantitative data, binary data, nominal data, and ordinal data.

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Also explained in

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  liveBookmanning.com
  Design for DevelopersQualitative data consists of descriptive, non-numeric information about people’s attitudes, behaviors, needs, or experiences.
• 

  liveBookmanning.com
  D3.js in Action, Third EditionQualitative data consists of categorical or descriptive values that represent types or qualities rather than measured amounts.

Compare how 3 books explain qualitative data →

Related concepts

• ordinal dataincludes · Ordinal data consists of categorical values with a meaningful order or rank, without necessarily having equal intervals between categories.
• categorical dataequivalent to · Categorical data consists of values representing membership in a discrete set of named or ordered categories rather than measured numerical magnitudes.
• qualitative researchproduced by · Qualitative research is systematic inquiry into experiences, meanings, behaviors, or perspectives using non-numerical evidence.
• quantitative dataproduces · Quantitative data is information represented numerically as quantities, measurements, counts, or other values suitable for numerical interpretation or analysis.
• nominal dataincludes · Nominal data consists of categorical values whose labels have no inherent or meaningful ordering.
• datakind of · Data is represented information, observations, measurements, or other values that can be stored, processed, transmitted, analyzed, or interpreted.

This explainer was generated by Manning's knowledge graph from the text of Data Without Labels. The section links point to the parts of the book it draws on.