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Categorical data helps classify and group information, while numerical data allows for calculations and comparisons using mathematical operations. By recognizing the type of data you’re dealing with, you can choose the most appropriate statistical methods to draw meaningful insights from your data.
Categorical data is data sorted into categories, such as colors, ranges of measurements, or other attributes of the data. Generally there are only finitely many categories.
Qualitative/categorical data is anything that isn’t a number, for example words. We usually obtain qualitative/categorical data by conducting a survey. Examples include: Football team names. Favourite takeaways. Level 1-3 GCSE KS3 AQA Edexcel OCR WJEC. Class 2: Quantitative. Quantitative data is numerical.
We sometimes use categorical data sets to compare sets of numerical data. The graph below shows the time it takes 30 randomly selected children from around Australia to get to school by the three types of travel: car, bus, and walk. (a) Create a similar graph for your class.
In this chapter, you will learn about categorical data examples, the distinction between categorical and numerical data, categorical data meaning, and the types of categorical data. Check out the interactive examples and try your hand at solving a few practice questions at the end of the page.
If you're grouping things by anything other than numerical values, you're grouping them by categories. By learning how to use tools such as bar graphs, Venn diagrams, and two-way tables, you'll expand your abilities to see patterns and relationships in categorical data.
Free lesson on Categorical and numerical data, taken from the Representing Data topic of our NSW Senior Secondary 2020 Editions Year 11 textbook. Learn with worked examples, get interactive applets, and watch instructional videos.
