Though it is easy to review definitions and straightforward examples, data is often filled with a mixture of data types. Can these values be broken down into smaller parts and still make sense?ĭiscrete and continuous data both play a vital role in data exploration and analysis. If you’re questioning whether or not you’re working with discrete or continuous data, try asking yourself questions such as: The primary difference, though, between discrete and continuous data is that discrete data is a finite value that can be counted whereas continuous data has an infinite number of possible values that can be measured. Continuous Dataĭiscrete and continuous data are commonly confused with one another due to their similarities as numerical data types. The distinguishing factor being that the values are measured over time rather than fixed.Ĭontinuous data is commonly displayed in visualizations such as histograms due to the element of variable change over time. The values can be continually measured at any point in time or placed within a range of values. These examples portray data that can be placed on a continuum.
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