DDP Presentation

In this presentation I'd like to demonstrate the utility of my Coursera course Developing Data Product class project

Objectives: At the end of this presentation, participants will be able to:

• Select a U.S. state and a county from that state
• Display a line graph indicating the trend for future annual number of hot days for a particular county
• Understand the importance of the real-world issue that is the subject of the project

• The Intergovernmental Panel on Climate Change (IPCC) projects with “virtual certainty” (99-100% probability) that climate change will cause more frequent, more intense, and longer heat waves.
  

- Exposure to extreme outdoors temperatures can be very dangerous especially when the exposure occurs over the course of several consecutive days.

Heat Illnesses include:

• Cramps,
• Syncope, and
• Edema
• Heat stroke
• Heat exhaustion

• The individual county data is downloadable from the web at: http://ephtracking.cdc.gov/showIndicatorPages.action

• This application is based on real data and it is available for the years 2020 to 2084

library(dplyr)
library(scales)
raw.data <- read.csv("maxdailytemp.csv", 
                     stringsAsFactors = FALSE)
subdf <- raw.data[,c(3, 67)]
subdf$X2020 <- as.numeric(subdf$X2020)
subdf$X2084 <- as.numeric(subdf$X2084)
avg2020 <- mean(subdf$X2020,na.rm=TRUE)                     
avg2084 <- mean(subdf$X2084,na.rm=TRUE)   

it is predicted that the average number of hot days in the U.S. will go from 50 in the year 2020 to 67 in the year 2084.

To access the App and th view the projections for your county, please follow this link: https://hm-datascience.shinyapps.io/DDP_Project

Steps:

• Select a U.S. State
• Select a county within the selected state.

The graph of the projections should be then visible. Have fun!