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DOC: Improve clarity and beginner-friendly tone in table tutorial #61285

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11 changes: 6 additions & 5 deletions doc/source/getting_started/intro_tutorials/01_table_oriented.rst
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Expand Up @@ -16,8 +16,7 @@ I want to start using pandas

import pandas as pd

To load the pandas package and start working with it, import the
package. The community agreed alias for pandas is ``pd``, so loading
To begin using pandas, you first need to import the package.The community agreed alias for pandas is ``pd``, so loading
pandas as ``pd`` is assumed standard practice for all of the pandas
documentation.

Expand Down Expand Up @@ -54,7 +53,9 @@ I want to store passenger data of the Titanic. For a number of passengers, I kno
)
df

To manually store data in a table, create a ``DataFrame``. When using a Python dictionary of lists, the dictionary keys will be used as column headers and
To manually store data in a table-like format, create a DataFrame, which is the primary data structure used in pandas.

When using a Python dictionary of lists, the dictionary keys will be used as column headers and
the values in each list as columns of the ``DataFrame``.

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Expand Down Expand Up @@ -165,8 +166,8 @@ I’m interested in some basic statistics of the numerical data of my data table

df.describe()

The :func:`~DataFrame.describe` method provides a quick overview of the numerical data in
a ``DataFrame``. As the ``Name`` and ``Sex`` columns are textual data,
The describe() method gives a quick summary of the numeric columns in a DataFrame, such as count, mean, min, and max values.
As the ``Name`` and ``Sex`` columns are textual data,
these are by default not taken into account by the :func:`~DataFrame.describe` method.

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