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DOC: make a shared include for describing the Titanic data
Just a refactor; the net result should be the same.
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‎doc/source/getting_started/intro_tutorials/02_read_write.rst

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@@ -16,38 +16,13 @@
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Titanic data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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This tutorial uses the Titanic data set, stored as CSV. The data
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consists of the following data columns:
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- PassengerId: Id of every passenger.
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- Survived: This feature have value 0 and 1. 0 for not survived and 1
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for survived.
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- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
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- Name: Name of passenger.
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- Sex: Gender of passenger.
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- Age: Age of passenger.
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- SibSp: Indication that passenger have siblings and spouse.
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- Parch: Whether a passenger is alone or have family.
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- Ticket: Ticket number of passenger.
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- Fare: Indicating the fare.
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- Cabin: The cabin of passenger.
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- Embarked: The embarked category.
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.. include:: titanic.rst
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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</li>
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</ul>
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</li>
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</ul>
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</div>
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How do I read and write tabular data?

‎doc/source/getting_started/intro_tutorials/03_subset_data.rst

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@@ -16,36 +16,8 @@
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Titanic data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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This tutorial uses the Titanic data set, stored as CSV. The data
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consists of the following data columns:
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- PassengerId: Id of every passenger.
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- Survived: This feature has value 0 and 1. 0 for not survived and 1
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for survived.
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- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
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- Name: Name of passenger.
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- Sex: Gender of passenger.
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- Age: Age of passenger.
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- SibSp: Indication that passengers have siblings and spouses.
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- Parch: Whether a passenger is alone or has a family.
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- Ticket: Ticket number of passenger.
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- Fare: Indicating the fare.
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- Cabin: The cabin of passenger.
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- Embarked: The embarked category.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. include:: titanic.rst
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.. ipython:: python
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@@ -54,8 +26,8 @@ consists of the following data columns:
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.. raw:: html
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</li>
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</ul>
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</li>
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</ul>
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</div>
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How do I select a subset of a ``DataFrame``?

‎doc/source/getting_started/intro_tutorials/06_calculate_statistics.rst

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@@ -16,36 +16,8 @@
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Titanic data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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This tutorial uses the Titanic data set, stored as CSV. The data
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consists of the following data columns:
28-
29-
- PassengerId: Id of every passenger.
30-
- Survived: This feature have value 0 and 1. 0 for not survived and 1
31-
for survived.
32-
- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
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- Name: Name of passenger.
34-
- Sex: Gender of passenger.
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- Age: Age of passenger.
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- SibSp: Indication that passenger have siblings and spouse.
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- Parch: Whether a passenger is alone or have family.
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- Ticket: Ticket number of passenger.
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- Fare: Indicating the fare.
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- Cabin: The cabin of passenger.
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- Embarked: The embarked category.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. include:: titanic.rst
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.. ipython:: python
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@@ -54,8 +26,8 @@ consists of the following data columns:
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.. raw:: html
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</li>
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</ul>
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</li>
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</ul>
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</div>
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How to calculate summary statistics?

‎doc/source/getting_started/intro_tutorials/07_reshape_table_layout.rst

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@@ -16,36 +16,8 @@
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Titanic data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
25-
26-
This tutorial uses the Titanic data set, stored as CSV. The data
27-
consists of the following data columns:
28-
29-
- PassengerId: Id of every passenger.
30-
- Survived: This feature have value 0 and 1. 0 for not survived and 1
31-
for survived.
32-
- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
33-
- Name: Name of passenger.
34-
- Sex: Gender of passenger.
35-
- Age: Age of passenger.
36-
- SibSp: Indication that passenger have siblings and spouse.
37-
- Parch: Whether a passenger is alone or have family.
38-
- Ticket: Ticket number of passenger.
39-
- Fare: Indicating the fare.
40-
- Cabin: The cabin of passenger.
41-
- Embarked: The embarked category.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. include:: titanic.rst
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.. ipython:: python
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.. raw:: html
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</li>
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</ul>
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</li>
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</ul>
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</div>
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How to reshape the layout of tables?

‎doc/source/getting_started/intro_tutorials/10_text_data.rst

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@@ -16,36 +16,7 @@
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
20-
<span class="badge badge-dark">Titanic data</span>
21-
</div>
22-
<div class="collapse" id="collapsedata">
23-
<div class="card-body">
24-
<p class="card-text">
25-
26-
This tutorial uses the Titanic data set, stored as CSV. The data
27-
consists of the following data columns:
28-
29-
- PassengerId: Id of every passenger.
30-
- Survived: This feature have value 0 and 1. 0 for not survived and 1
31-
for survived.
32-
- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
33-
- Name: Name of passenger.
34-
- Sex: Gender of passenger.
35-
- Age: Age of passenger.
36-
- SibSp: Indication that passenger have siblings and spouse.
37-
- Parch: Whether a passenger is alone or have family.
38-
- Ticket: Ticket number of passenger.
39-
- Fare: Indicating the fare.
40-
- Cabin: The cabin of passenger.
41-
- Embarked: The embarked category.
42-
43-
.. raw:: html
44-
45-
</p>
46-
<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. include:: titanic.rst
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.. ipython:: python
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@@ -54,8 +25,8 @@ consists of the following data columns:
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.. raw:: html
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</li>
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</ul>
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</li>
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</ul>
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</div>
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How to manipulate textual data?

‎doc/source/getting_started/intro_tutorials/titanic.rst

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:orphan:
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.. raw:: html
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Titanic data</span>
7+
</div>
8+
<div class="collapse" id="collapsedata">
9+
<div class="card-body">
10+
<p class="card-text">
11+
12+
This tutorial uses the Titanic data set, stored as CSV. The data
13+
consists of the following data columns:
14+
15+
- PassengerId: Id of every passenger.
16+
- Survived: This feature have value 0 and 1. 0 for not survived and 1
17+
for survived.
18+
- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
19+
- Name: Name of passenger.
20+
- Sex: Gender of passenger.
21+
- Age: Age of passenger.
22+
- SibSp: Indication that passenger have siblings and spouse.
23+
- Parch: Whether a passenger is alone or have family.
24+
- Ticket: Ticket number of passenger.
25+
- Fare: Indicating the fare.
26+
- Cabin: The cabin of passenger.
27+
- Embarked: The embarked category.
28+
29+
.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>

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