Summarise

Learing to summarise

• number of observations in the data (hint use n()).
• number of observations that have missing counts (hint use is.na).
• proportion of observations that have missing counts.

library(tidyverse)

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tb_long <- read_rds("https://github.com/datascienceprogram/ids_course_data/raw/master/tb_long.rds")

tb_long %>% 
  summarise(n = n(),
            missing = sum(is.na(count)),
            prop = missing/n)

## # A tibble: 1 x 3
##        n missing  prop
##    <int>   <int> <dbl>
## 1 157820  106846 0.677