Additional data types

DataClassroom supports the basic data types listed in Data Types. These are sufficient for performing the various visualizations and hypothesis tests supported in the tool, but there may be times when more nuanced data type names come up.

Here's how the following data type definitions relate to work in DataClassroom:

Data Type	Explanation
Ordinal	Similar to categorical, but there is a defined order for the values. For example, Small, Medium and Large might be values of an Ordinal variable. Note that only the order, and not the spacing, is defined. In DataClassroom, use Categorical for these variables. In DataClassroom, all your Categorical variables are in fact given a fixed ordering for the values, which is used for ensuring consistent ordering in graphs and test results. You can change it by clicking on the Values button:
Quantitative	Quantitative is an alternative name for what we call Numeric data.
Discrete or Integer	Whole numbers or counts only. This is a sub-type of Numeric, so if you have numeric data that is always an integer, you can set the type to Numeric.
Continuous or ratio	Any numeric value, with any level of precision, for measurements of values that can take any value, such as weight. This is a sub-type of Numeric, so if you have numeric data that is continuous, you can set the type to Numeric.