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Global Life Experiences Survey Data
Data Science and Analytics
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About
Gathered via a public survey, this file documents whether individuals have participated in specific life activities or experienced particular events. It serves as a social study tool, allowing for the analysis of correlations between age demographics and life experiences ranging from travel and recreation to minor infractions and injuries. The data focuses on boolean (True/False) responses to "Have you ever?" style questions, offering a snapshot of human behaviour and shared history.
Columns
- Age group: The demographic bracket of the respondent (e.g., 19-24, 25-34).
- broken a bone: Boolean indicating if the respondent has suffered a bone fracture.
- been on the radio or television: Boolean indicating media appearance.
- gotten a speeding ticket: Boolean indicating traffic violations.
- gone skydiving: Boolean indicating participation in skydiving.
- been to Europe: Boolean indicating travel history to Europe.
- driven a boat: Boolean indicating experience operating a watercraft.
- been on water skis: Boolean indicating experience with water skiing.
- been on a motorcycle: Boolean indicating experience riding a motorcycle.
- been horseback riding: Boolean indicating experience riding horses.
Distribution
The data is structured in a CSV format (responses.csv), occupying approximately 584 kB of storage. It contains over 3,300 individual records derived from valid survey submissions where respondents answered all questions. The structure consists of boolean values (True/False) for activity columns and categorical data for age groups, with a daily update frequency expected.
Usage
- Sociological research into age-related activity trends.
- Statistical analysis of risk-taking behaviours (e.g., comparing speeding tickets to skydiving).
- Marketing profiling based on life experience demographics.
- Educational demonstrations for boolean logic and correlation analysis.
Coverage
The file encompasses a diverse range of age groups, with significant representation from the 19-24 (44%) and 25-34 (26%) demographics. The responses are collected via a public web survey which remains open, meaning the geographic scope is theoretically worldwide but limited to internet users who discovered the Statistry survey.
License
CC BY-SA 4.0
Who Can Use It
- Data Analysts: Performing social trend analysis and visualisation.
- Sociology Students: Studying human behaviour patterns and life milestones.
- Statisticians: Looking for clean boolean datasets for probability modelling.
- Market Researchers: Analysing demographic lifestyles and interests.
Dataset Name Suggestions
- Global Life Experiences Survey Data
- Age and Activity Correlation Records
- Have You Ever: Public Survey Responses
- Human Life Events Boolean Dataset
Attributes
Original Data Source: Global Life Experiences Survey Data
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