minor fix

Author: kdpsingh

what-is-tidier-jl.jl

@@ -337,12 +337,6 @@ No. The `meds_clean` data frame only captures patients who are taking at least o
 To evaluate this, let's join the `patients_clean` data frame with `meds_clean_count` and examine the `num_meds` column. If all patients in the `patients_clean` data frame are also represented in the `meds_clean_count` data frame, then there should be no missing values for `num_meds`.
 """
 
-# ╔═╡ 597f559a-abd5-4ceb-b23f-1e32b7e5e78b
-@chain begin
-	@left_join(patients_clean, meds_clean_count)
-	@count(num_meds)
-end
-
 # ╔═╡ 4cb280c9-0f4b-4173-8858-6c1253496d6a
 md"""
 While most patients in this dataset are taking at least one medication, `348` patients have a `missing` value for `num_meds` after joining the two datasets, which means that they are not on medications.
@@ -358,25 +352,15 @@ We will add a `@count(num_meds)` at the end of the chain to confirm that the `mi
 	In previous code, we have always started a chain with the syntax `@chain df begin`, where `df` represents a data frame. You can alternatively begin a chain with `@chain begin`, which is especially handy when the initial value is lengthy to type, such as when starting a chain with a `@left_join`.
 """
 
-# ╔═╡ 6ea5a632-0c97-4a8d-90ea-7add7dc99304
-@chain begin
-	@left_join(patients_clean, meds_clean_count)
-	@mutate(num_meds = replace_missing(num_meds, 0))
-	@count(num_meds)
-end
-
 # ╔═╡ f62652d2-43f9-4728-8ff1-856bc26a530e
 md"""
 The 348 `missing` values are now zeros, so let's recalculate the average.
 """
 
-# ╔═╡ 6f1d3c1f-6c77-4474-a69f-bb663c27b6cc
+# ╔═╡ 597f559a-abd5-4ceb-b23f-1e32b7e5e78b
 @chain begin
 	@left_join(patients_clean, meds_clean_count)
-	@mutate(num_meds = replace_missing(num_meds, 0))
-	@summarize(mean_num_meds = mean(num_meds),
-			   min_num_meds = minimum(num_meds),
-			   max_num_meds = maximum(num_meds))
+	@count(num_meds)
 end
 
 # ╔═╡ 773fba31-b9ad-4db6-a70b-55fc7dd18372
@@ -447,6 +431,22 @@ If you've been carefully looking through the code, following along, and everythi
 The next section on reading data will cover the details, starting with how to read in a data frame from a file.
 """
 
+# ╔═╡ 6ea5a632-0c97-4a8d-90ea-7add7dc99304
+@chain begin
+	@left_join(patients_clean, meds_clean_count)
+	@mutate(num_meds = replace_missing(num_meds, 0))
+	@count(num_meds)
+end
+
+# ╔═╡ 6f1d3c1f-6c77-4474-a69f-bb663c27b6cc
+@chain begin
+	@left_join(patients_clean, meds_clean_count)
+	@mutate(num_meds = replace_missing(num_meds, 0))
+	@summarize(mean_num_meds = mean(num_meds),
+			   min_num_meds = minimum(num_meds),
+			   max_num_meds = maximum(num_meds))
+end
+
 # ╔═╡ 00000000-0000-0000-0000-000000000001
 PLUTO_PROJECT_TOML_CONTENTS = """
 [deps]
@@ -3063,7 +3063,7 @@ version = "3.6.0+0"
 """
 
 # ╔═╡ Cell order:
-# ╠═daf77ffe-a06d-489b-9fff-ce84d377c86f
+# ╟─daf77ffe-a06d-489b-9fff-ce84d377c86f
 # ╟─34de12cb-2e15-4f12-93e0-0a897ce5fa9c
 # ╟─9d465a8f-a418-4fe6-bebc-7f9c7aa632cf
 # ╟─2b49dad8-a00c-46f2-8c19-617292584e2c