---
title: "Advanced data types"
slug: "additional-data-types"
updated: 2022-09-08T11:54:40Z
published: 2022-09-08T11:54:40Z
canonical: "userguide.dataclassroom.com/additional-data-types"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://userguide.dataclassroom.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Additional data types

DataClassroom supports the basic data types listed in [Data Types](/docs/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 **O****rdinal** 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: ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1662637053443.png) |
| **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**. |