A list of the different types of data in statistics, marketing research, and data science. Explanation and examples of data types plus infographics in PDF.

Oct 21, 2023 · We often teach four types of data: nominal, ordinal, interval, and ratio. And while these are four important data types, we have other ways of categorizing datasets.

Nov 18, 2024 · Types of data: nominal, ordinal, discrete, and continuous data, which are mainly used in the data science industry

Sep 23, 2025 · Discover the main types of data with real-world examples. Learn how to classify, analyze, and apply data in 2025 and beyond.

Mar 24, 2025 · Discover the key types of data in data science, from structured to unstructured, and learn their significance in analytics and machine learning applications.

Jul 23, 2025 · These types of data are used to describe the nature of the data being collected or analyzed, and they help determine the appropriate statistical tests to use. In this essay, we will …

The values of a variable for one or more people or things yield data. Here is an example of data collected from 3 students. ... Most variables and data can be put into the following categories: …

Aug 29, 2025 · From numerical value to categorical variables, each type opens different doors for detecting relationships, visualizing trends and generating meaningful insights. 1. Quantitative Data. …

Mar 25, 2025 · There are four main types of data: Nominal, Ordinal, Discrete, and Continuous. Additionally, data is classified based on source (Primary, Secondary), processing (Raw, Processed), …

Oct 13, 2025 · As you explore various data and types of data, you'll come across four main categories: nominal, ordinal, discrete, and continuous. Understanding these data categories can help you …