This repository contains an analysis of the World Happiness Report dataset. The data is derived from the Gallup World Poll and measures various factors that contribute to happiness, including economic production, social support, life expectancy, freedom, perceptions of corruption and generosity.
The dataset can be found here.
- Life Ladder: Scale of individuals' self-evaluated happiness.
- Log GDP per capita: Logarithmic value of a country's Gross Domestic Product (GDP) per capita, used as an indicator of economic welfare.
- Social support: Degree of assistance provided to individuals.
- Healthy life expectancy at birth: Average number of years a person is expected to live in good health from birth.
- Freedom to make life choices: Degree to which individuals have the freedom to make choices in their lives.
- Generosity: Tendency of individuals to help others and the prevalence of this behavior in society.
- Perceptions of corruption: Degree of perceived corruption in society.
The analysis of the dataset includes the following steps:
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Understanding and Summarizing the Dataset
- Loading the dataset
- Exploring the basic structure and summary statistics of the data
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Handling Missing Data
- Identifying missing values
- Filling or imputing missing values appropriately
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Data Visualization
- Visualizing key variables and relationships using plots and charts
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Bivariate Analysis
- Analyzing relationships between pairs of variables
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Correlation Analysis
- Calculating and interpreting correlations between variables
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Multivariate Data Analysis
- Exploring relationships involving multiple variables simultaneously
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Outlier Analysis
- Detecting and handling outliers in the data
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Time Series Analysis
- Analyzing the trends and patterns over time