From be3575ae8b08cf485de26313dd4769b30adcf968 Mon Sep 17 00:00:00 2001
From: maneesha sane <829690+maneesha@users.noreply.github.com>
Date: Fri, 11 Aug 2023 14:00:18 -0400
Subject: [PATCH] Fix typo (#589)

---
 episodes/01-starting-with-data.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/episodes/01-starting-with-data.Rmd b/episodes/01-starting-with-data.Rmd
index 24be550e2..8e2da2360 100644
--- a/episodes/01-starting-with-data.Rmd
+++ b/episodes/01-starting-with-data.Rmd
@@ -497,7 +497,7 @@ R also has a function that summaries the previous common calculations:
 summary(dat[, 1:4])
 ```
 
-For every column in the data frame, the function "summary" calculates: the minimun value, the first quartile, the median, the mean, the third quartile and the max value, giving helpful details about the sample distribution.
+For every column in the data frame, the function "summary" calculates: the minimum value, the first quartile, the median, the mean, the third quartile and the max value, giving helpful details about the sample distribution.
 
 What if we need the maximum inflammation for all patients, or the average for each day?
 As the diagram below shows, we want to perform the operation across a margin of the data frame: