```json { "slots": [ { "scope": "dataset", "slot": "nature", "value": { "nature": "observational" }, "evidence": { "reasoning": "This dataset measures happiness scores and contributing factors across countries through surveys (World Happiness Report). The data represents observed societal conditions—GDP, life expectancy, social support, freedom, corruption perceptions—that no single operator controls. The source is a Kaggle dataset from the UN Sustainable Development Solutions Network, confirming this is research/survey data rather than operational business data." } }, { "scope": "dataset", "slot": "decisions_served", "value": { "decisions": [ "Which countries to prioritize for international development aid or policy interventions", "Whether to invest in social programs (family support, healthcare, anti-corruption) based on their correlation with national happiness", "How to benchmark a country's well-being performance against regional or global peers", "Which happiness factors to emphasize in policy research or academic studies" ] }, "evidence": { "reasoning": "The dataset ranks countries by happiness and decomposes scores into measurable factors (economy, health, freedom, trust, generosity). This structure supports comparative analysis for policymakers, researchers, and international organizations making resource allocation and policy design decisions." } }, { "scope": "dataset", "slot": "levers", "value": { "levers": [] }, "evidence": { "reasoning": "As observational data from surveys measuring societal conditions, there are no direct operational levers. While the measured factors (GDP, health, freedom, corruption) could theoretically be influenced by policy, this dataset records outcomes rather than tracking interventions an operator controls." } }, { "scope": "dataset", "slot": "audience", "value": { "audience": [ "Policy researchers and academics studying well-being", "International development organizations and NGOs", "Government policy analysts and planners", "Data scientists and analysts conducting comparative country studies" ] }, "evidence": { "reasoning": "The Kaggle provenance and UN source indicate this serves researchers and analysts. The structure—annual snapshots with decomposed happiness factors—supports academic research, policy analysis, and international benchmarking rather than operational business use." } }, { "scope": "table:2015", "slot": "role", "value": { "role": "fact" }, "evidence": { "reasoning": "This table records measured happiness scores and contributing factors for countries in 2015. It contains metrics (Happiness Score, GDP per Capita, Family, Health, Freedom, Trust, Generosity, Dystopia Residual) at country grain, making it a fact table within the year-series partition set, not a partition-of-set as derived." } }, { "scope": "table:2015", "slot": "column_bindings", "value": { "bindings": [ {"column": "Country", "binding": "identifier"}, {"column": "Region", "binding": "category"}, {"column": "Happiness Rank", "binding": "measure"}, {"column": "Happiness Score", "binding": "measure"}, {"column": "Standard Error", "binding": "measure"}, {"column": "Economy (GDP per Capita)", "binding": "measure"}, {"column": "Family", "binding": "measure"}, {"column": "Health (Life Expectancy)", "binding": "measure"}, {"column": "Freedom", "binding": "measure"}, {"column": "Trust (Government Corruption)", "binding": "measure"}, {"column": "Generosity", "binding": "measure"}, {"column": "Dystopia Residual", "binding": "measure"} ] }, "evidence": { "reasoning": "Happiness Rank is a derived ordinal measure (ranking by score), not an identifier. The economic and social factors (Economy, Family, Health, Freedom, Trust, Generosity, Dystopia Residual) are all measures contributing to the happiness score, despite high uniqueness—they represent continuous observed values, not identifiers." } }, { "scope": "table:2016", "slot": "role", "value": { "role": "fact" } }, { "scope": "table:2016", "slot": "column_bindings", "value": { "bindings": [ {"column": "Country", "binding": "identifier"}, {"column": "Region", "binding": "category"}, {"column": "Happiness Rank", "binding": "measure"}, {"column": "Happiness Score", "binding": "measure"}, {"column": "Lower Confidence Interval", "binding": "measure"}, {"column": "Upper Confidence Interval", "binding": "measure"}, {"column": "Economy (GDP per Capita)", "binding": "measure"}, {"column": "Family", "binding": "measure"}, {"column": "Health (Life Expectancy)", "binding": "measure"}, {"column": "Freedom", "binding": "measure"}, {"column": "Trust (Government Corruption)", "binding": "measure"}, {"column": "Generosity", "binding": "measure"}, {"column": "Dystopia Residual", "binding": "measure"} ] } }, { "scope": "table:2017", "slot": "role", "value": { "role": "fact" } }, { "scope": "table:2017", "slot": "column_bindings", "value": { "bindings": [ {"column": "Country", "binding": "identifier"}, {"column": "Happiness.Rank", "binding": "measure"}, {"column": "Happiness.Score", "binding": "measure"}, {"column": "Whisker.high", "binding": "measure"}, {"column": "Whisker.low", "binding": "measure"}, {"column": "Economy..GDP.per.Capita.", "binding": "measure"}, {"column": "Family", "binding": "measure"}, {"column": "Health..Life.Expectancy.", "binding": "measure"}, {"column": "Freedom", "binding": "measure"}, {"column": "Generosity", "binding": "measure"}, {"column": "Trust..Government.Corruption.", "binding": "measure"}, {"column": "Dystopia.Residual", "binding": "measure"} ] } }, { "scope": "table:2018", "slot": "role", "value": { "role": "fact" } }, { "scope": "table:2018", "slot": "grain", "value": { "unit": "one row per country", "key_columns": ["Country or region"] }, "evidence": { "reasoning": "While Overall rank has perfect uniqueness, it is derived from Score. The natural grain is country—the entity being measured—with Overall rank as a computed ranking measure." } }, { "scope": "table:2018", "slot": "column_bindings", "value": { "bindings": [ {"column": "Overall rank", "binding": "measure"}, {"column": "Country or region", "binding": "identifier"}, {"column": "Score", "binding": "measure"}, {"column": "GDP per capita", "binding": "measure"}, {"column": "Social support", "binding": "measure"}, {"column": "Healthy life expectancy", "binding": "measure"}, {"column": "Freedom to make life choices", "binding": "measure"}, {"column": "Generosity", "binding": "measure"}, {"column": "Perceptions of corruption", "binding": "measure"} ] } }, { "scope": "table:2019", "slot": "role", "value": { "role": "fact" } }, { "scope": "table:2019", "slot": "grain", "value": { "unit": "one row per country", "key_columns": ["Country or region"] } }, { "scope": "table:2019", "slot": "column_bindings", "value": { "bindings": [ {"column": "Overall rank", "binding": "measure"}, {"column": "Country or region", "binding": "identifier"}, {"column": "Score", "binding": "measure"}, {"column": "GDP per capita", "binding": "measure"}, {"column": "Social support", "binding": "measure"}, {"column": "Healthy life expectancy", "binding": "measure"}, {"column": "Freedom to make life choices", "binding": "measure"}, {"column": "Generosity", "binding": "measure"}, {"column": "Perceptions of corruption", "binding": "measure"} ] } } ] } ```