Introduction

Life expectancy data was downloaded from data.gov. This dataset contains death rates and life-expectancy statistics from 1900 to 2015. Exploratory analysis was conducted on this dataset.

source("process_data.R")
## Parsed with column specification:
## cols(
##   Year = col_integer(),
##   Race = col_character(),
##   Sex = col_character(),
##   `Average Life Expectancy (Years)` = col_double(),
##   `Age-adjusted Death Rate` = col_double()
## )
summary(expectancy)
##       year          race               sex            life_expectancy
##  Min.   :1900   Length:1044        Length:1044        Min.   :29.10  
##  1st Qu.:1929   Class :character   Class :character   1st Qu.:56.60  
##  Median :1958   Mode  :character   Mode  :character   Median :66.60  
##  Mean   :1958                                         Mean   :64.12  
##  3rd Qu.:1986                                         3rd Qu.:73.60  
##  Max.   :2015                                         Max.   :81.40  
##                                                       NA's   :9      
##    death_rate    
##  Min.   : 616.7  
##  1st Qu.:1040.2  
##  Median :1541.4  
##  Mean   :1614.1  
##  3rd Qu.:2073.0  
##  Max.   :3845.7  
## 

Expectancy Dataset Sample

Below you will find a widget that you may use to few the contents of the data expectancy dataset. This is the dataset that will be explored later on in this analysis.

library(DT)

datatable(expectancy, 
          options = list(pageLength = 5))

Life Expectancy Plot

The plot below shows life expectancy by year for all sexes.

As you can see, life expectancy rises for everyone from 1900 to 2015. Women have a higher life expectancy than men and both groups follow the same upward trend while maintaining a difference between the two groups.