500 Cities Visualization
Katie Martins
November 2, 2017
Background
The 500 Cities Project was launched in 2015 by the Robert Wood Johnson Foundation and the CDC Foundation in conjunction with the Centers for Disease Control and Prevention (CDC). The project reports city-level and census tract-level data for 27 chronic disease measures for 500 of America's largest cities.
The goal of the 500 Cities Project is to enable cities to better identify emerging public health problems, develop and implement prevention activities, and monitor important indicators of public health.
Examples of Measures
The 27 chronic disease measures are divided into three categories: Prevention, Health Outcomes, and Unhealthy Behaviors.
data <- filter(df, Category == "Unhealthy Behaviors")
kable(unique(data$Measure))
| Binge drinking among adults aged >=18 Years |
| Current smoking among adults aged >=18 Years |
| No leisure-time physical activity among adults aged >=18 Years |
| Obesity among adults aged >=18 Years |
| Sleeping less than 7 hours among adults aged >=18 Years |
Visualization App
Map visualization of the 500 Cities Project data allows for easy identification of the cities with the highest and lowest estimates for each of the public health measures.
The app's input allows the user to select a category to examine, and then choose a measure within that category.
The output has two components:
- A map showing cities colored by prevalence
- Tables showing the cities with the highest and lowest prevalence
