From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Discrete vs. continuous data

Discrete vs. continuous data

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Discrete vs. continuous data

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- [Instructor] Another pair of terms that we want to understand is the difference between discrete and continuous data. Now, discrete data is data that takes on distinct values. So this is also called countable data. And these include examples like the number of customers you might have in your store at any particular point in time. Or if you are a production manager in an industrial setting, you might be interested in the number of defective units that are produced on a particular production line, or if you run a streaming service, you might want to know about the number of people that are concurrently streaming a video at any time. Now, continuous data is different. Data that can take on a range of values or take on values within a range, I should say. Now a distinguishing characteristic of continuous data is it can have fractional or decimal values. And some examples include the height and weight of people or the time that's required to complete a task. We might track in an hours…

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