From deef167af129339e5270b70657e1a421341dc016 Mon Sep 17 00:00:00 2001
From: Anderson Banihirwe <13301940+andersy005@users.noreply.github.com>
Date: Mon, 2 Oct 2023 22:41:19 -0700
Subject: [PATCH] minor typo fix (#219)

---
 intermediate/01-high-level-computation-patterns.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/intermediate/01-high-level-computation-patterns.ipynb b/intermediate/01-high-level-computation-patterns.ipynb
index 338c7e03..43a7dd5a 100644
--- a/intermediate/01-high-level-computation-patterns.ipynb
+++ b/intermediate/01-high-level-computation-patterns.ipynb
@@ -928,7 +928,7 @@
     "For instance, grouping data by month (which have varying numbers of days) or the results of an image classification.\n",
     "The GroupBy functions are essentially a generalization of `coarsen`: \n",
     "\n",
-    "- `groupby`: divide data into distinct groups, e.g. climatologies, composites. Works best when the \"group indentifiers\" or \"labels\" are exact and can be determined using equality (`==`), e.g. characters or integers. Remember that floats are not exact values.\n",
+    "- `groupby`: divide data into distinct groups, e.g. climatologies, composites. Works best when the \"group identifiers\" or \"labels\" are exact and can be determined using equality (`==`), e.g. characters or integers. Remember that floats are not exact values.\n",
     "- `groupby_bins`: Use binning operations, e.g. histograms, to group your data.\n",
     "- `resample`: Specialized implementation of GroupBy specifically for time grouping (so far), allows you to change sampling frequency of dataset.\n",
     "\n",