I would like to know if there is a way of displaying all the data types of my data set on R like you can do on pandas with df.info().
I'm aware I could use
names(data)
and then for each individual feature do
class(data$Feature)
However, I wanted to know if there is a more efficient way of doing it.
str and summary may give you information about the data that you have.
For example, with in-built mtcars dataset.
str(mtcars)
#'data.frame': 32 obs. of 11 variables:
# $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
# $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
# $ disp: num 160 160 108 258 360 ...
# $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
# $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
# $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
# $ qsec: num 16.5 17 18.6 19.4 17 ...
# $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
# $ am : num 1 1 1 0 0 0 0 0 0 0 ...
# $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
# $ carb: num 4 4 1 1 2 1 4 2 2 4 ...
summary(mtcars)
# mpg cyl disp hp
# Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
# 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
# Median :19.20 Median :6.000 Median :196.3 Median :123.0
# Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
# 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
# Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
# drat wt qsec vs
# Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000
# 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000
# Median :3.695 Median :3.325 Median :17.71 Median :0.0000
# Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375
# 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000
# Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000
# am gear carb
# Min. :0.0000 Min. :3.000 Min. :1.000
# 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000
# Median :0.0000 Median :4.000 Median :2.000
# Mean :0.4062 Mean :3.688 Mean :2.812
# 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000
# Max. :1.0000 Max. :5.000 Max. :8.000