WMO-Hurricane-Survival-Dataset
OpenML dataset with id 43607
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102432/WMO-Hurricane-Survival-Dataset.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of classes: 2
Number of features: 23 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 5,021
Number of instances with missing values: 70
Number of missing values: 91
It is estimated that 10,000 people die each year worldwide due to hurricanes and tropical storms. The majority of human deaths are caused by flooding. Hurricane Irma hit Florida as a Category 4 storm the morning of Sept. 10, 2017, ripping off roofs, flooding coastal cities, and knocking out power to more than people. The storm and its aftermath has killed at least 38 in the Caribbean, 34 in Florida, three in Georgia, four in South Carolina, and one in North Carolina. The occurrences of these natural disasters have been on a high which is a concern for United Nation; The World Meteorological Organization (specialized agency of UN) has been collecting data about all the individuals that are living in and around Hurricanes and Cyclones prone areas. In the aftermath of Irma, WMO wants to find a pattern or a relation between the attributes that will prove whether an individual will SURVIVE OR NOT SURVIVE any hurricane/cyclones in the near future. DATA DICTIONARY
VARIABLES DESCRIPTION DOB Date of Birth(MM/DD/YYYY) MSTATUS Marital Status (Married/Unmarried/Divorced) SALARY Annual salary ( specified in Ranges) EDUDATA Education details ( Uneducated/High-School/Gradute / Post-Graduate) EMPDATA Employment details ( Employed/Self-Employed/unemployed) RELORIEN Religious orientation ( Agnostic / Atheist / Believer) FAVTV Favourite TV Show PREFCAR Preferred brand of car GENDER Gender( Male/Female/Other) FAVCUIS Favourite Cuisine FAVMUSIC Favourite Genre of Music ENDULEVEL Endurance Level FAVSPORT Favourite sport FAVCOLR Favourite color NEWSSOURCE Source of the news DISTFRMCOAST Distance from the coast MNTLYTRAVEL Monthly travel GENMOVIES Preferred Genre of Music FAVSUBJ Favourite subject ALCOHOL Preferred Alcohol FAVSUPERHERO Favourite Superhero Class x(will survive) and y(Will not survive)
This page was built for dataset: WMO-Hurricane-Survival-Dataset
