Discrete and continuous data

As you may already know data is a set of values based on facts, figures or other pieces of information that we use to learn about something. For example, the number of dogs per family in a town. That data can be presented in different ways. Data can be measured (such as length or weight) or numerical (basically numbers). We call these continuous data and discrete data.

The idea behind this post is to understand two types of random variables: Discrete Random Variables and Continuous Random Variables. If you are not familiar with what are random variables please…

Discrete/continuous graphs

Discrete vs continuous data are two broad categories of numeric variables. You count discrete data but measure continuous.

LEGO bricks illustrate the simple idea behind infographics. Data: sorted, arranged, presented visually. Got it? Good. Now let's raid the toy box and play with the "data." Image...

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.

I'm getting wrapped around data types and I need some help: If you look at the picture above (taken from here), it has the data types like this: Quantitative (Discrete, Continuous) Qualitative (

The main difference between qualitative and quantitative data is that qualitative data is descriptive while quantitative data is numerical. For example, qualitative data are gender, country, city, nationality, etc. while quantitative data are length, width, height, weight, area, speed, age, etc. Furthermore, quantitative data can be either discrete data (countable data such as number of vehicles, number of students, etc.) or continuous data (measurable data such as height, weight, etc.).

Math explained in easy language, plus puzzles, games, quizzes, worksheets and a forum. For K-12 kids, teachers and parents.