library(skimr)
data <- read.csv("https://github.com/ropensci/skimr/files/11214724/githubdata.csv")
skim(data)
Data summary
Name data
Number of rows 28
Number of columns 4
_______________________
Column type frequency:
numeric 4
________________________
Group variables None

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
a 0 1 6.10 1.18 3.56 5.44 5.88 7.02 8.40 ▂▇▇▆▅
b 0 1 6.21 1.56 3.13 5.23 6.17 6.86 8.91 ▂▅▇▅▅
d 0 1 4.75 2.67 -3.58 4.05 5.55 6.28 8.07 ▁▁▂▇▇
h 0 1 5.03 1.65 0.65 4.18 5.28 6.17 7.69 ▁▃▆▇▆