Merge pull request #290 from datacarpentry/zkamvar-patch-1

add missing block quote character

Author: villanueval

_episodes/03-exploring-data.md

@@ -39,8 +39,8 @@ along with a number representing how many times that value occurs in the column.
 5. Hover the mouse over one of the names in the `facet` list. You should see that you have an `edit` function available.
 6. You could use this to fix an error immediately, and OpenRefine will ask whether you want to make the same correction to every value it finds like that one. But OpenRefine offers even better ways to find and fix these errors, which we'll use instead. We'll learn about these when we talk about clustering.
 
->## Facets and large datasets
-Facets are intended to group together common values and OpenRefine limits the number of values allowed in a single facet to ensure the software does not perform slowly or run out of memory. If you create a facet where there are many unique values (for example, a facet on a 'book title' column in a data set that has one row per book) the facet created will be very large and may either slow down the application, or OpenRefine will not create the facet.
+> ## Facets and large datasets
+> Facets are intended to group together common values and OpenRefine limits the number of values allowed in a single facet to ensure the software does not perform slowly or run out of memory. If you create a facet where there are many unique values (for example, a facet on a 'book title' column in a data set that has one row per book) the facet created will be very large and may either slow down the application, or OpenRefine will not create the facet.
 {: .callout}
 
 > ## Exercise