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Daily Life Activities and Social Profiles
Data Science and Analytics
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About
This collection of data focuses on the life stories and activities of 2,000 adults, ranging widely in age from 18 to 97. It is structured around 19 key variables designed to link an individual’s social characteristics—such as their occupation, education level, and sense of belonging to a social class—with their daily habits, particularly how they spend their time while at home. The information allows for detailed examination of contemporary domestic life and societal trends.
Columns
The dataset includes 21 variables documenting personal details and behavioural indicators:
- index, id: Unique identifiers for each record.
- age: The age of the individual (spanning 18 to 97 years).
- sex: The gender of the individual (45% male, 55% female).
- eduLelev: Educational Level achieved, categorised across up to nine types, including short technical/professional courses and higher education.
- weight: A quantified weighting measure associated with the individual.
- occup: The professional occupation (e.g., 52% are currently employed, and 20% are retired).
- qualif: The formal qualification held by the individual, with 'Employe' being a common category.
- siblings: The reported number of siblings, ranging up to 22.
- clso: Indication of whether the individual reports a sense of belonging to a social class (52% reported 'Non').
- relig: The religion followed, with 'Appartenance sans pratique' (Belonging without practice) being the most frequently reported category.
- work.imp: The perceived importance of work.
- work.satisf: The reported satisfaction level regarding work.
- Activity Flags (hard.rock, bd.reader, fish.hunt, cooking, handyman, cinema, sport): Binary indicators showing participation in specific leisure activities such as listening to hard rock, reading manga, fishing or hunting, cooking, DIY/handyman activities, attending the cinema, and participating in sport.
- hours.tv: The number of hours spent in front of the television, with 2 hours being the most frequently reported duration.
Distribution
The data is provided in a single file named
datas.csv, totalling 419.43 kB. It comprises 2,000 unique records (rows). Crucially, all 21 columns are fully populated, demonstrating 100% validity with no missing or mismatched values across any variable. The dataset is expected to be updated Annually.Usage
This resource is highly usable for advanced analytical purposes (rated 10.00) in fields such as sociology, market analysis, and public policy development. Potential use cases include:
- Analysing the correlation between educational attainment and domestic leisure pursuits.
- Segmenting the population based on engagement in physical activities (sport) versus media consumption (hours.tv, cinema attendance).
- Studying generational trends in social class identification, religious practice, and family size (siblings).
- Developing profiles for target demographics based on specific hobbies such as cooking or DIY work.
Coverage
The scope of this data is focused solely on the characteristics and daily activities of 2,000 unique individuals. The age range is broad, covering adults from 18 years up to 97 years old. The data captures detailed demographic and social scope, including employment status, family structure, and individual perceptions of social class and work satisfaction. Geographic and specific time coverage details are not supplied, but the data represents the self-reported life stories and routines of the sample population.
License
CC0: Public Domain
Who Can Use It
The data is intended for a diverse group of users:
- Sociologists and Academic Researchers: To investigate how socio-economic factors influence domestic leisure behaviour.
- Public Policy Analysts: To understand societal engagement levels in activities like sport or their reliance on media (hours.tv).
- Market Researchers: To profile consumer behaviour related to hobbies (e.g., cooking, DIY) and entertainment consumption.
- Data Scientists: For training models that explore the relationships between demographic attributes and lifestyle choices.
Dataset Name Suggestions
- Daily Life Activities and Social Profiles
- Individual Home Activity Survey
- Adult Life Stories and Domestic Routines
- Demographics and Leisure Behaviour Data
Attributes
Original Data Source: Daily Life Activities and Social Profiles
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