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README.md

titanic.csv

Source: http://lib.stat.cmu.edu/S/Harrell/data/descriptions/titanic.html

  • sample size: 1313
  • features: 10
Name Levels Storage NAs
pclass 3 integer 0
survived double 0
name character 0
age double 680
embarked 3 integer 492
home.dest 371 integer 559
room character 0
ticket character 0
boat 99 integer 966
sex 2 integer 0

These data were obtained from Robert Dawson, Saint Mary's University, E-mail. The variables are pclass, age, sex, survived. These data frames are useful for demonstrating many of the functions in Hmisc as well as demonstrating binary logistic regression analysis using the Design library. For more details and references see Simonoff, Jeffrey S (1997): The "unusual episode" and a second statistics course. J Statistics Education, Vol. 5 No. 1.


wine.csv

Source: https://archive.ics.uci.edu/ml/datasets/Wine

  • sample size: 178
  • features: 13
Data Set Characteristics: Multivariate Number of Instances: 178
Attribute Characteristics: Integer, Real Number of Attributes: 13
Associated Tasks: Classification Missing Values? No
1) Alcohol 
2) Malic acid 
3) Ash 
4) Alcalinity of ash 
5) Magnesium 
6) Total phenols 
7) Flavanoids 
8) Nonflavanoid phenols 
9) Proanthocyanins 
10)Color intensity 
11)Hue 
12)OD280/OD315 of diluted wines 
13)Proline 

Original Owners:

Forina, M. et al, PARVUS - An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.