diff --git a/content/tableau-part-one/reading/data-source/_index.md b/content/tableau-part-one/reading/data-source/_index.md
index 4e276ecd..d21827a1 100644
--- a/content/tableau-part-one/reading/data-source/_index.md
+++ b/content/tableau-part-one/reading/data-source/_index.md
@@ -38,8 +38,8 @@ When you connect to a data source using Tableau, each column within your data se
 
 You are able to right-click any field and convert it to a **Measure** or **Dimension**. The easiest ways to associate a field with the appropriate role are as follows:
 
-1. `Measure`: qualitative values (numerical data)
-1. `Dimension`: quantitative values (non-numerical)
+1. `Measure`: quantitative values (numerical data)
+1. `Dimension`: qualitative values (non-numerical)
 
 ## Connecting Data
 
@@ -87,4 +87,4 @@ What role is typically assigned to quantitative values?
 {{% notice green Question "rocket" %}}
 How does Tableau handle columns with mixed data types?
 <!-- Solution: It varies depending on the values inside, it will either convert the data type to either null or an existing Tableau data type -->
-{{% /notice %}}
\ No newline at end of file
+{{% /notice %}}