Introduction

Download and input the Gapminder data set.

dta <- read.csv("https://4va.github.io/biodatasci/data/gapminder.csv") 
library(knitr)
kable(head(dta))
country continent year lifeExp pop gdpPercap
Afghanistan Asia 1952 28.801 8425333 779.4453
Afghanistan Asia 1957 30.332 9240934 820.8530
Afghanistan Asia 1962 31.997 10267083 853.1007
Afghanistan Asia 1967 34.020 11537966 836.1971
Afghanistan Asia 1972 36.088 13079460 739.9811
Afghanistan Asia 1977 38.438 14880372 786.1134

In-line code

The mean life expectancy is 59.4744394 years.

The years surveyed in this data include: 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007.

Data visualization

library(ggplot2)
ggplot(dta, aes(gdpPercap, lifeExp, color = continent)) + 
  geom_point() +
  scale_x_log10() +  
  labs(x = "GDP", y = "Life Expectancy (years)") +
  theme_bw()
Life Exp vs GDP

Life Exp vs GDP

The end

Session Information

sessionInfo() 
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS Mojave 10.14.6
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] zh_TW.UTF-8/zh_TW.UTF-8/zh_TW.UTF-8/C/zh_TW.UTF-8/zh_TW.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] ggplot2_3.2.1 knitr_1.28   
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.3       magrittr_1.5     tidyselect_1.0.0 munsell_0.5.0   
##  [5] colorspace_1.4-1 R6_2.4.1         rlang_0.4.4      dplyr_0.8.4     
##  [9] stringr_1.4.0    highr_0.8        tools_3.6.1      grid_3.6.1      
## [13] gtable_0.3.0     xfun_0.12        withr_2.1.2      htmltools_0.4.0 
## [17] assertthat_0.2.1 yaml_2.2.1       lazyeval_0.2.2   digest_0.6.25   
## [21] tibble_2.1.3     lifecycle_0.1.0  crayon_1.3.4     farver_2.0.3    
## [25] purrr_0.3.3      glue_1.3.1       evaluate_0.14    rmarkdown_2.1   
## [29] labeling_0.3     stringi_1.4.6    compiler_3.6.1   pillar_1.4.3    
## [33] scales_1.1.0     pkgconfig_2.0.3