A nice way to summarise all the variables in a dataset.

`install.packages("skimr")`

library(skimr)

The data we’ll look at is from the Correlates of War . It provides dyadic records of militarized interstate disputes (MIDs) over the period of 1816-2010.

`skim(mid)`

** n_missing : **tells which variables have missing values

`complete_rate :`

the percentage of the variables which are missing

Column 4 – 7 gives the `mean, standard deviation, min, 25th percentile, median, 75th percentile `

and `max `

values.

The last column is a histogram of each variables, so you can easily scan and see if variables are normally distributed, skewed or binary.