From 74f29aeddf86da80be18e592704fb02c2e715ed0 Mon Sep 17 00:00:00 2001
From: taehyounpark <taehyounpark@icloud.com>
Date: Sun, 31 Mar 2024 06:50:25 -0400
Subject: [PATCH] Docs

---
 docs/pages/guide.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/pages/guide.md b/docs/pages/guide.md
index f322bfe..77cf7ee 100644
--- a/docs/pages/guide.md
+++ b/docs/pages/guide.md
@@ -248,14 +248,14 @@ Both approaches can (and should) be used in a dataflow for full control over the
 auto x = ds.vary(
   dataset::column<double>("x_nom"),
   {{"shift_x","x_shifted"}, {"smear_x", "x_smeared"}}
-  ); // qty::lazy<column::fixed<double>>::varied
-// (column::fixed<dobule> is the concrete type)
+  );
 
 // constants are varied by alternate values
 auto y = df.vary(
   column::constant(true),
   {{"no", false}}
-  );
+  ); // qty::lazy<column::fixed<double>>::varied
+// (column::fixed<dobule> is the concrete type)
 
 // expressions are varied by alternate expression and input columns
 auto x_pm_y = df.vary(