From 00b0b3deb87b556485d62676bc80493bf6fdb2c7 Mon Sep 17 00:00:00 2001
From: Jennifer Stubbs <52942431+jas58@users.noreply.github.com>
Date: Mon, 19 May 2025 10:18:19 -0500
Subject: [PATCH] Third exercise impossible

I cannot transform a column to Number and then force OpenRefine to accept an edit to a non-numeric value.
The first step is impossible and frustrating for a new learner like I once was.
I changed the sentence to a different column (not yet transformed) and added " a few" for the edits suggested.
This allows the learner to get to the second step, pulldown to create the numeric facet.
---
 episodes/03-exploring-data.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/episodes/03-exploring-data.md b/episodes/03-exploring-data.md
index c0233f54..676fd1a3 100644
--- a/episodes/03-exploring-data.md
+++ b/episodes/03-exploring-data.md
@@ -123,7 +123,7 @@ The next exercise will explore what happens when a numeric column contains value
 
 ## Exercise
 
-1. For a column you transformed to numbers, edit one or two cells, replacing the numbers with text (such as `abc`) or blank (no number or text).
+1. For a column you have not yet transformed to numbers, edit one or two cells, replacing a few numbers with text (such as `abc`) or blank (no number or text).
 2. Use the pulldown menu to apply a numeric facet to the column you edited. The facet will appear in the left panel.
 3. Notice that there are several checkboxes in this facet: `Numeric`, `Non-numeric`, `Blank`, and `Error`. Below these are counts of the number of cells in each category. You should see checks for `Non-numeric` and `Blank` if you changed some values.
 4. Experiment with checking or unchecking these boxes to select subsets of your data.