From 3bcf7dd2626be973bb85970f2a167a49f3b09794 Mon Sep 17 00:00:00 2001
From: Derek Melchin <38889814+DerekMelchin@users.noreply.github.com>
Date: Fri, 19 Jul 2024 17:20:24 -0600
Subject: [PATCH] Update 04 Charts.html

---
 .../01 Key Concepts/13 Debugging Tools/04 Charts.html           | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/03 Writing Algorithms/01 Key Concepts/13 Debugging Tools/04 Charts.html b/03 Writing Algorithms/01 Key Concepts/13 Debugging Tools/04 Charts.html
index b821c14f87..c1513f7aac 100644
--- a/03 Writing Algorithms/01 Key Concepts/13 Debugging Tools/04 Charts.html	
+++ b/03 Writing Algorithms/01 Key Concepts/13 Debugging Tools/04 Charts.html	
@@ -1,5 +1,5 @@
 <p>
-  Plotting values over time can help understand its range, identify outliers in data, and see times when your algorithm generates invalid values.
+  Plotting values over time can help you understand its range, identify outliers in data, and see times when your algorithm generates unusual values.
   Before you create a plot, develop a theory about what you expect to see before you view it to gain a deeper understanding of your algorithm.
   For example, a plot of an asset's price standard deviations should be between -4 and +4, with any outliers happening during extreme market conditions like the COVID pandemic in March 2020.
   LEAN provides a powerful charting API.