Command to describe table data

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Hello,

I have a database and would like to know which field names through a command in R. What is the best way to proceed? I tried to use describe() but failed.

r dplyr
  • 3

    If the dataset calls df, do names(df).

  • 3

    @Marcusnunes Or str(df).

1 answer

5

The r-base offers the options of:

  1. names(): to know the names of the variables that are in the .
  2. str(): to know the structure of the object in question. In this case data.frame, this means knowing the amount of variables it has, the number of observations and the name, type and some values of each variable.

The data.frame used in the examples (sleep) is already in the R (bundle datasets).

names(sleep)
[1] "extra" "group" "ID" 

str(sleep)
'data.frame':   20 obs. of  3 variables:
 $ extra: num  0.7 -1.6 -0.2 -1.2 -0.1 3.4 3.7 0.8 0 2 ...
 $ group: Factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ...
 $ ID   : Factor w/ 10 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 10 ...

The offers a more elegant option to str(): glimpse().

dplyr::glimpse(sleep)
Observations: 20
Variables: 3
$ extra <dbl> 0.7, -1.6, -0.2, -1.2, -0.1, 3.4, 3.7, 0.8, 0.0, 2.0, ...
$ group <fct> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, ...
$ ID    <fct> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8,...

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