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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- Tabular |
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- Finance |
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- Social Science |
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- Economics |
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- Global |
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- Inflation |
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- World Happiness |
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--- |
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# **World Happiness Index and Inflation Dataset** ππ |
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This dataset combines **World Happiness Index (WHI) scores with inflation metrics** across different countries from **2015 to 2023**. |
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It provides insights into how economic conditions such as **GDP per capita, inflation, and corruption perception** impact happiness levels globally. |
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--- |
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## **π Context** |
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Happiness and well-being are essential indicators of societal progress, often influenced by economic conditions such as **GDP and inflation**. |
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This dataset compiles data from the **World Happiness Index (WHI)** and inflation metrics to analyze the **relationship between economic stability and happiness levels across 148 countries from 2015 to 2023**. |
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By analyzing key **economic indicators alongside social well-being factors**, this dataset provides insights into **global prosperity trends**. |
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## **π Content** |
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This dataset is provided in **CSV format** and includes **16 columns**, covering both **happiness-related features** and **economic indicators** such as GDP per capita, inflation rates, and corruption perception. |
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**Main Features:** |
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- **Happiness Score & Rank** π *(World Happiness Index ranking per country)* |
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- **Economic Indicators** π° *(GDP per capita, inflation metrics)* |
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- **Social Factors** π€ *(Freedom, Social Support, Generosity)* |
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- **Geographical Information** π *(Country & Continent)* |
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## **π About This File** |
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The **WHI_Inflation.csv** file contains structured tabular data that integrates economic indicators and happiness scores across various countries and years. |
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### **This dataset is particularly useful for:** |
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β **Exploratory Data Analysis (EDA)** β Understanding patterns in happiness and economic trends. |
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β **Machine Learning applications** β Regression models to predict happiness based on economic conditions. |
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β **Social and Economic Research** β Analyzing the effects of GDP, inflation, and corruption perception on happiness levels. |
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**This dataset includes 16 columns, each representing aspects of happiness and economic well-being.** |
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## **π Column Descriptions** |
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| Column Name | Description | |
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|-------------|------------| |
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| **Country** | The name of the country where the data is recorded. | |
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| **Year** | The year in which the happiness and economic data were collected (2015-2023). | |
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| **Score** | The overall happiness score of the country, ranging from 1 (least happy) to 10 (happiest). | |
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| **GDP per Capita** | The Normalized Gross Domestic Product (GDP) per capita of the country. | |
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| **Social Support** | A measure of how well individuals are supported by family, friends, and social networks. | |
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| **Healthy Life Expectancy** | The expected normalized time of healthy life at birth. | |
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| **Freedom to Make Life Choices** | The level of freedom individuals feel in making life choices. | |
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| **Generosity** | A metric representing the extent of charitable donations and social contributions in the country. | |
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| **Perceptions of Corruption** | A measure of corruption perception in government and businesses (higher values indicate lower corruption). | |
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| **Energy Consumer Price Inflation** | The annual percentage change in energy prices (e.g., electricity, fuel). | |
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| **Food Consumer Price Inflation** | The annual percentage change in food prices. | |
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| **GDP Deflator Index Growth Rate** | A measure of overall price level changes in the economy, considering inflation. | |
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| **Headline Consumer Price Inflation** | A broad measure of inflation capturing price changes in consumer goods and services. | |
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| **Official Core Consumer Price Inflation** | A stable inflation measure that excludes volatile food and energy prices. | |
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| **Producer Price Inflation** | The annual inflation rate for producers and manufacturers, affecting future consumer prices. | |
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| **Continent** | The continent where the country is located (e.g., Europe, Asia, Africa, Americas). | |
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## **π Key Insights & Possible Analyses** |
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1οΈβ£ **Happiness Score Trends Over Time** β How have happiness levels changed over the years? |
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2οΈβ£ **Continent-wise Happiness Comparisons** β Which continents have the highest and lowest happiness scores? |
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3οΈβ£ **GDP vs. Happiness Correlation** β Does higher GDP per capita lead to higher happiness? |
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4οΈβ£ **Impact of Inflation on Happiness** β Do rising prices negatively impact happiness? |
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5οΈβ£ **Feature Importance Analysis** β Which factors contribute most to happiness? |
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## **π Sources & Acknowledgements** |
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This dataset is created using publicly available data from: |
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- **World Happiness Report** ([worldhappiness.report](https://worldhappiness.report/)) |
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- **Gallup World Poll** (Survey-based happiness metrics) |
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- **World Bank & IMF** (Economic & Inflation data) |
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- **World Bank's Prospects Group** (Global price statistics) |
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## **π‘ Usage** |
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This dataset can be used for **exploratory analysis, machine learning models, economic research, and policy-making.** |
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It enables researchers and analysts to study the **relationship between happiness scores and key economic indicators like GDP, inflation, and corruption perception.** |
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--- |
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## **Citation** |
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```bibtex |
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@misc{WorldHappiness_Index, |
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author = {Ensar Yilmaz and Burak Akturk and Didem Civelek and Tolga Buyuktanir}, |
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year = {2025}, |
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title = {World Happiness Index and Inflation Dataset}, |
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publisher = {Hugging Face}, |
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url = {https://huggingface.co/datasets/AgraResearchLab/WorldHappinessIndex_InflationDataset} |
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} |
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``` |
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