Print Tibbles

An improved printing method is one of the most important improvements in tibbles compared with the traditional data.frame, very informative to help downstream analysis. When you print a tibble, it displays the first ten rows and all columns that fit in the console width, along with names of the additional columns. It prints the dataset dimension, and an abbreviated description of the column type (e.g., chr for character, dbl for double or numeric, int for integer, etc.).

library(tibble)
# print the billboard dataset (a tibble) built in tidyr packagetidyr::billboard

Output:

# A tibble: 317 × 79
artist track date.entered wk1 wk2 wk3 wk4 wk5 wk6 wk7 wk8 wk9 wk10 wk11 wk12 wk13 wk14 wk15 wk16 wk17 wk18 wk19 wk20 wk21 wk22 wk23 wk24 wk25 wk26 wk27 wk28 wk29 wk30 wk31 wk32 wk33 wk34 wk35 wk36 wk37 wk38 wk39 wk40 wk41 wk42 wk43 wk44 wk45
<chr> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2 Pac Baby… 2000-02-26 87 82 72 77 87 94 99 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2 2Ge+her The … 2000-09-02 91 87 92 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
3 3 Doors… Kryp… 2000-04-08 81 70 68 67 66 57 54 53 51 51 51 51 47 44 38 28 22 18 18 14 12 7 6 6 6 5 5 4 4 4 4 3 3 3 4 5 5 9 9 15 14 13 14 16 17
4 3 Doors… Loser 2000-10-21 76 76 72 69 67 65 55 59 62 61 61 59 61 66 72 76 75 67 73 70 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
5 504 Boyz Wobb… 2000-04-15 57 34 25 17 17 31 36 49 53 57 64 70 75 76 78 85 92 96 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
6 98^0 Give… 2000-08-19 51 39 34 26 26 19 2 2 3 6 7 22 29 36 47 67 66 84 93 94 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
7 A*Teens Danc… 2000-07-08 97 97 96 95 100 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
8 Aaliyah I Do… 2000-01-29 84 62 51 41 38 35 35 38 38 36 37 37 38 49 61 63 62 67 83 86 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
9 Aaliyah Try … 2000-03-18 59 53 38 28 21 18 16 14 12 10 9 8 6 1 2 2 2 2 3 4 5 5 6 9 13 14 16 23 22 33 36 43 NA NA NA NA NA NA NA NA NA NA NA NA NA
10 Adams, … Open… 2000-08-26 76 76 74 69 68 67 61 58 57 59 66 68 61 67 59 63 67 71 79 89 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
# ℹ 307 more rows
# ℹ 31 more variables: wk46 <dbl>, wk47 <dbl>, wk48 <dbl>, wk49 <dbl>, wk50 <dbl>, wk51 <dbl>, wk52 <dbl>, wk53 <dbl>, wk54 <dbl>, wk55 <dbl>, wk56 <dbl>, wk57 <dbl>, wk58 <dbl>, wk59 <dbl>, wk60 <dbl>, wk61 <dbl>, wk62 <dbl>, wk63 <dbl>, wk64 <dbl>, wk65 <dbl>, wk66 <lgl>, wk67 <lgl>, wk68 <lgl>,
# wk69 <lgl>, wk70 <lgl>, wk71 <lgl>, wk72 <lgl>, wk73 <lgl>, wk74 <lgl>, wk75 <lgl>, wk76 <lgl>

You can control the default appearance of the printed tibbles:

  • options(pillar.print_max = n, pillar.print_min = m): if there are more than n rows, print only the first m rows. Use options(pillar.print_max = Inf) to always show all rows.

  • options(pillar.width = n): use n character slots horizontally to show the data. If n > getOption("width"), this will result in multiple tiers. Use options(pillar.width = Inf) to always print all columns, regardless of the width of the screen.

# reset default to print only the first two rowsoptions(pillar.print_min = 2)  
# reset default to print 60 characters at max per lineoptions(pillar.width = 60)
tidyr::billboard

Output:

# A tibble: 317 × 79
artist track date.entered wk1 wk2 wk3 wk4 wk5
<chr> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2 Pac Baby D… 2000-02-26 87 82 72 77 87
2 2Ge+her The Ha… 2000-09-02 91 87 92 NA NA
# ℹ 315 more rows
# ℹ 71 more variables: wk6 <dbl>, wk7 <dbl>, wk8 <dbl>,
# wk9 <dbl>, wk10 <dbl>, wk11 <dbl>, wk12 <dbl>,
# wk13 <dbl>, wk14 <dbl>, wk15 <dbl>, wk16 <dbl>,
# wk17 <dbl>, wk18 <dbl>, wk19 <dbl>, wk20 <dbl>,
# wk21 <dbl>, wk22 <dbl>, wk23 <dbl>, wk24 <dbl>,
# wk25 <dbl>, wk26 <dbl>, wk27 <dbl>, wk28 <dbl>, …