This repository has been archived by the owner on Nov 23, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
docs: create notebook for Titanic example (#21)
### Summary of Changes Create a notebook to describe the Titanic example, including a sample, its schema, and some statistics.
- Loading branch information
1 parent
dd2bdef
commit d8e8a1b
Showing
3 changed files
with
100 additions
and
9 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,99 @@ | ||
{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"# Titanic\n", | ||
"\n", | ||
"Based on the [\"Titanic\" dataset](https://www.openml.org/search?type=data&sort=runs&id=40945&status=active) by Frank E. Harrell Jr. and Thomas Cason:\n", | ||
"\n", | ||
"> The original Titanic dataset, describing the survival status of individual passengers on the Titanic. The titanic data does not contain information from the crew, but it does contain actual ages of half of the passengers. The principal source for data about Titanic passengers is the Encyclopedia Titanica. The datasets used here were begun by a variety of researchers. One of the original sources is Eaton & Haas (1994) Titanic: Triumph and Tragedy, Patrick Stephens Ltd, which includes a passenger list created by many researchers and edited by Michael A. Findlay.\n", | ||
">\n", | ||
"> Thomas Cason of UVa has greatly updated and improved the titanic data frame using the Encyclopedia Titanica and created the dataset here. Some duplicate passengers have been dropped, many errors corrected, many missing ages filled in, and new variables created.\n", | ||
"\n", | ||
"## Sample\n" | ||
], | ||
"metadata": { | ||
"collapsed": false | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"outputs": [], | ||
"source": [ | ||
"from safeds_examples.tabular import load_titanic\n", | ||
"\n", | ||
"titanic = load_titanic()\n", | ||
"titanic.slice(end=10)" | ||
], | ||
"metadata": { | ||
"collapsed": false, | ||
"pycharm": { | ||
"is_executing": true | ||
} | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## Schema" | ||
], | ||
"metadata": { | ||
"collapsed": false | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"outputs": [], | ||
"source": [ | ||
"titanic.schema\n" | ||
], | ||
"metadata": { | ||
"collapsed": false | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## Statistics" | ||
], | ||
"metadata": { | ||
"collapsed": false | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"outputs": [], | ||
"source": [ | ||
"titanic.summary()\n" | ||
], | ||
"metadata": { | ||
"collapsed": false | ||
} | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.6" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |
This file was deleted.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters