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Fix grammatical errors #36517

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2 changes: 1 addition & 1 deletion doc/source/getting_started/intro_tutorials/01_table_oriented.rst
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Expand Up @@ -104,7 +104,7 @@ between square brackets ``[]``.
.. note::
If you are familiar to Python
:ref:`dictionaries <python:tut-dictionaries>`, the selection of a
single column is very similar to selection of dictionary values based on
single column is very similar to the selection of dictionary values based on
the key.

You can create a ``Series`` from scratch as well:
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10 changes: 5 additions & 5 deletions doc/source/getting_started/intro_tutorials/02_read_write.rst
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Expand Up @@ -27,14 +27,14 @@ This tutorial uses the Titanic data set, stored as CSV. The data
consists of the following data columns:

- PassengerId: Id of every passenger.
- Survived: This feature have value 0 and 1. 0 for not survived and 1
- Survived: This feature has value 0 and 1. 0 for not survived and 1
for survived.
- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
- Name: Name of passenger.
- Sex: Gender of passenger.
- Age: Age of passenger.
- SibSp: Indication that passenger have siblings and spouse.
- Parch: Whether a passenger is alone or have family.
- SibSp: Indication that passengers have siblings and spouses.
- Parch: Whether a passenger is alone or has a family.
- Ticket: Ticket number of passenger.
- Fare: Indicating the fare.
- Cabin: The cabin of passenger.
Expand Down Expand Up @@ -97,7 +97,7 @@ I want to see the first 8 rows of a pandas DataFrame.
titanic.head(8)

To see the first N rows of a ``DataFrame``, use the :meth:`~DataFrame.head` method with
the required number of rows (in this case 8) as argument.
the required number of rows (in this case 8) as an argument.

.. raw:: html

Expand Down Expand Up @@ -209,7 +209,7 @@ The method :meth:`~DataFrame.info` provides technical information about a
<div class="shadow gs-callout gs-callout-remember">
<h4>REMEMBER</h4>

- Getting data in to pandas from many different file formats or data
- Getting data into pandas from many different file formats or data
sources is supported by ``read_*`` functions.
- Exporting data out of pandas is provided by different
``to_*``\ methods.
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