Global Health Analysis

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Topic: Global Health Analysis

Analyse life expectancy, population, and GDP per capita across different countries and years. You can create visualizations to understand the trends and correlations.

Intro

Correlation Analysis

Investigate the correlation between different variables such as GDP per capita and life expectancy. Investigate factors influencing life expectancy. For example, research has shown that per capita health-care expenditure, social spending, and other variables impact life expectancy

Time Series Analysis

Conduct a time series analysis on variables such as GDP per capita or life expectancy to understand their trends over time. Consider datasets that provide population data over time for different countries.

Forecast Future Analysis

Build predictive models to forecast future trends based on historical data. Generally, higher GDP per capita values tend to correlate with higher life expectancy. In R Studio, load relevant datasets and create scatter plots or regression models to visualize and analyse this relationship.

Conclusion