Project overview

This is a project creating a static visualization of how sunshine impact the life expectancy in US. In this project, we will explore and visualize two datasets: climate dataset and US Life Expectancy at Birth.

The climate dataset contains information of the climate in major U.S. Cities.

The data contains in total 7 columns:

• city: The name of the city.
• lon: The longitude of the city.
• lat: The latitude of the city.
• month: The name of a month (Jan, Feb, etc.).
• monthnum: The number of a month (1, 2, etc.).
• sunshine: The average hours of sunshine observed during that month.
• rain: The average inches of rain observed during that month.

The US life Expectency dataset contains information of the life expectancy of each US County

The data contains in total 6 columns:

• State: US states
• County: Specifies the county (and state) associated within the US states
• Census Tract Number: A unique identifier for the census tract within the county. Census tracts are small, relatively permanent statistical subdivisions of a county.
• Life Expectancy: Represents the average life expectancy at birth for individuals in the given census tract, measured in years.
• Life Expectancy Range: The range of life expectancy values (e.g., lower and upper bounds) observed within the census tract, indicating variability in life expectancy.
• Life Expectancy Standard Error: The standard error of the life expectancy estimate, which measures the precision of the life expectancy data. Smaller values indicate more reliable estimates.

Key finding from exploratory data analysis

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Major Findings

• San Francisco tends to have the most sunshine in winter and least in summer

• Counties with higher average sunshine hours tend to have higher life expectancy.
• San Francisco tends to have the best life span

Trival Findings

• Miami city has the less flucuation of the sunshine acorss year
• Chicago city has the most flucuation of the sunshine amount across year
• all the avaliable city is located near the oceanside
• left of US tend to have less rainfall, and right of US tend to have more rainfall
• the rain fall season in San Diego and San Francisco is at the beginning and the end of the year, whiles other 4 citities are exactally opposite

Thinking process on data visualization

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• research Question: How does seasonal sunshine impact peoples' health in the US oceanside cities
• subtitle: San Francisco with proper seasonal monthly sunshine hour makes its citizen have the highest average life expectancy

Data type:

• oceanside City: Nominal data
• Average monmthly sunshine: Quantitative Ratio
• season: Ordinal
• life expectancy: Quantitative Ratio
• life expectancy category: Ordinal

vis on weather data mark: dot

• color: blue for winter season and red for summer season
• shape: circle for winter season and square for summer season
• x-axis: oceanside city
• y-axis: sunhine hour

vis on life expecetancy

• mark: stacked-bar
• color: proportion of the area is that above or below the US average life expectancy 77
• x - axis: oceanside city
• y - axis: proportion 0 to 1

As a result, we get the following to visualization: