From 7eadd72df299a44eaf5e7cdcb75dfa31648bd8a1 Mon Sep 17 00:00:00 2001
From: davidwales <55477181+davidwales@users.noreply.github.com>
Date: Tue, 4 Feb 2020 15:55:17 +1100
Subject: [PATCH] Fix typo

---
 doc/source/getting_started/basics.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/getting_started/basics.rst b/doc/source/getting_started/basics.rst
index 4fef5efbd1551..277080006cb3c 100644
--- a/doc/source/getting_started/basics.rst
+++ b/doc/source/getting_started/basics.rst
@@ -1973,7 +1973,7 @@ Pandas has two ways to store strings.
 1. ``object`` dtype, which can hold any Python object, including strings.
 2. :class:`StringDtype`, which is dedicated to strings.
 
-Generally, we recommend using :class:`StringDtype`. See :ref:`text.types` fore more.
+Generally, we recommend using :class:`StringDtype`. See :ref:`text.types` for more.
 
 Finally, arbitrary objects may be stored using the ``object`` dtype, but should
 be avoided to the extent possible (for performance and interoperability with