Title: Environmental and Happiness Indicators Across Selected Cities
Subtitle: A Dashboard for PHW251B: Data Visualization for Public Health
Data Source: healthy_cities
Background: The data used for this dashboard contains pollution score and happiness levels across select cities in the world. These cities represent diverse geographic regions and allow viewers to explore differences in environmental and quality of life patterns around the world. The 3 core questions the dashboard focuses on:
Do cities with higher pollution scores tend to have lower happiness levels?
How do pollution levels vary geographically across these selected cities?
Which cities rank highest and lowest in happiness?
Results:
Relationship Between Pollution and Happiness (Figure 1): The scatter plot shows a negative relationship. As pollution increases, happiness levels tend to decrease. Therefore, higher pollution in associated with lower happiness among the cities included in this dataset.
Geographic Variation in Pollution Levels (Figure 2): Pollution levels differ across the selected cities. Cities in Asia show higher levels of pollution. European cities shows a mix of low to moderate valued, and North American cities included in the dataset show moderate levels.
Ranked Happiness Levels (Figure 3): The barchart indicates that the highest happiness scores in this dataset come from European and North American cities. The lowest scores are found among cities in Asia and Africa. Since this dataset includes a selected sample of cities, these results reflect differences among the included locations, rather than global trends. Further analysis is needed to understand the contextual factors behind these variations.