https://www.machinelearningplus.com › statistics › types-of-data-in-statistics

Learn the difference between qualitative and quantitative data, and the subtypes of each category, such as nominal, ordinal, discrete, and continuous data. See examples and visualizations of each type of data using Python.

https://www.intellspot.com › data-types

Learn the difference between quantitative and qualitative data, nominal and ordinal data, discrete and continuous data, and how to use them in data science. See examples, infographics, and quizzes to test your knowledge.

https://statisticsbyjim.com › basics › data-types

Learn the difference between quantitative and qualitative data, and the subtypes of each. See examples and graphs of continuous, discrete, categorical, binary, and ordinal variables.

https://www.freecodecamp.org › news › types-of-data-in-statistics-nominal-ordinal-interval...

Learn the difference between quantitative and qualitative data, and the subtypes of quantitative data: discrete, continuous, interval and ratio. See examples of each data type and how to measure them.

https://www.geeksforgeeks.org › data-types-in-statistics

In statistics, there are four main types of data: nominal, ordinal, interval, and ratio. 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 explore each type of data in detail, providing examples along ...

https://www.chi2innovations.com › blog › data-types-101

Learn the difference between quantitative and qualitative data, and the 4 types of data in statistics: nominal, ordinal, interval and ratio. See examples, descriptive statistics and how to deal with each type of data.

https://www.coursera.org › in › articles › types-of-data

Two types of quantitative data in statistics are discrete data and continuous data. Discrete data refers to data values that can only attain specific values and not a range of values. In other words, discrete data involves only integers. It must be divided into parts. Families come in all shapes and sizes.

https://www.coursera.org › articles › types-of-data

Learn about the four main categories of data (nominal, ordinal, discrete, and continuous) and how to analyze them using various techniques. Explore the differences between quantitative and qualitative data and the pros and cons of using data in various fields.

https://www.theknowledgeacademy.com › blog › types-of-data-in-statistics

Types of Data in Statistics: Explained with Examples. Eliza Taylor 18 December 2023. Explore the 'Types of Data in Statistics' in our comprehensive blog. Understand with clear examples the different categories such as nominal, ordinal, interval, and ratio data, each vital for accurate data analysis and interpretation in various fields.