|
|
--- |
|
|
tags: |
|
|
- code |
|
|
- datasets |
|
|
--- |
|
|
# Titantic Dataset |
|
|
|
|
|
This is an **altered** titanic dataset for training purposes. |
|
|
|
|
|
The Titanic dataset is a well-known and widely used dataset in the field of data science and machine learning. The dataset provides information about the passengers aboard the RMS Titanic, which famously sank on its maiden voyage on April 15, 1912. |
|
|
The dataset contains a combination of demographic and passenger-related information, making it suitable for various analyses and predictions. It has also been utilized to develop machine learning models to predict passenger survival based on different features. |
|
|
|
|
|
You can find more details about this dataset [here](https://github.com/mwaskom/seaborn-data/blob/master/titanic.csv) |
|
|
|
|
|
## Dataset Features: |
|
|
|
|
|
1. PassengerId: A unique identifier for each passenger. |
|
|
2. Name: The name of the passenger. |
|
|
3. Age: The age of the passenger in years. |
|
|
4. Ticket: The ticket number of the passenger. |
|
|
5. Fare: The fare paid by the passenger for the ticket. |
|
|
6. Cabin: The cabin number of the passenger. |
|
|
|
|
|
8. Survived_0: A binary column indicating whether the passenger did not survive |
|
|
9. Survived_1: A binary column indicating whether the passenger survived |
|
|
|
|
|
11. Pclass_1: A binary column indicating whether the passenger belongs to the 1st class |
|
|
12. Pclass_2: A binary column indicating whether the passenger belongs to the 2nd class |
|
|
13. Pclass_3: A binary column indicating whether the passenger belongs to the 3rd class |
|
|
|
|
|
15. Sex_female: A binary column indicating whether the passenger is female |
|
|
16. Sex_male: A binary column indicating whether the passenger is male |
|
|
|
|
|
18. SibSp_0: A binary column indicating whether the passenger has no siblings or spouse aboard |
|
|
19. SibSp_1: A binary column indicating whether the passenger has 1 sibling or spouse aboard |
|
|
20. SibSp_2: A binary column indicating whether the passenger has 2 siblings or spouse aboard |
|
|
21. SibSp_3: A binary column indicating whether the passenger has 3 siblings or spouse aboard |
|
|
22. SibSp_4: A binary column indicating whether the passenger has 4 siblings or spouse aboard |
|
|
23. SibSp_5: A binary column indicating whether the passenger has 5 siblings or spouse aboard |
|
|
24. SibSp_8: A binary column indicating whether the passenger has 8 siblings or spouse aboard |
|
|
|
|
|
26. Parch_0: A binary column indicating whether the passenger has no parents or children aboard |
|
|
27. Parch_1: A binary column indicating whether the passenger has 1 parent or child aboard |
|
|
28. Parch_2: A binary column indicating whether the passenger has 2 parents or children aboard |
|
|
29. Parch_3: A binary column indicating whether the passenger has 3 parents or children aboard |
|
|
30. Parch_4: A binary column indicating whether the passenger has 4 parents or children aboard |
|
|
31. Parch_5: A binary column indicating whether the passenger has 5 parents or children aboard |
|
|
32. Parch_6: A binary column indicating whether the passenger has 6 parents or children aboard |
|
|
|
|
|
34. Embarked_C: A binary column indicating whether the passenger embarked from Cherbourg |
|
|
35. Embarked_Q: A binary column indicating whether the passenger embarked from Queenstown |
|
|
36. Embarked_S: A binary column indicating whether the passenger embarked from Southampton |