Tibbles adalah inti dari struktur data tidyversedan digunakan untuk memfasilitasi tampilan dan analisis informasi dalam format yang rapi. Tibbles adalah bentuk baru dari bingkai data di mana bingkai data adalah struktur data yang paling umum digunakan untuk menyimpan kumpulan data di R.

library(tidyverse)       # loading tidyverse package    
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.4.0      ✔ purrr   0.3.5 
## ✔ tibble  3.1.8      ✔ dplyr   1.0.10
## ✔ tidyr   1.2.1      ✔ stringr 1.5.0 
## ✔ readr   2.1.3      ✔ forcats 0.5.2 
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
sample_tibble <- as_tibble(CO2) # creating a tibble named sample_tibble
print(sample_tibble)    
## # A tibble: 84 × 5
##    Plant Type   Treatment   conc uptake
##    <ord> <fct>  <fct>      <dbl>  <dbl>
##  1 Qn1   Quebec nonchilled    95   16  
##  2 Qn1   Quebec nonchilled   175   30.4
##  3 Qn1   Quebec nonchilled   250   34.8
##  4 Qn1   Quebec nonchilled   350   37.2
##  5 Qn1   Quebec nonchilled   500   35.3
##  6 Qn1   Quebec nonchilled   675   39.2
##  7 Qn1   Quebec nonchilled  1000   39.7
##  8 Qn2   Quebec nonchilled    95   13.6
##  9 Qn2   Quebec nonchilled   175   27.3
## 10 Qn2   Quebec nonchilled   250   37.1
## # … with 74 more rows
library(tidyverse)
name <- c("ILHAM", "KURNIAWAN", "DEDDY", "KORBUZER", "SOKOWI", "DODO")
marks_in_Math <- c(91, 85, 92, 89, 90, 93)
marks_in_Java <- c(89, 91, 88, 91, 89, 87)
Fav_color <- c("Pink", "Red", "Yellow", "Green", "White", "Blue")
students <- tibble(name, marks_in_Math, marks_in_Java, Fav_color)
print(students)
## # A tibble: 6 × 4
##   name      marks_in_Math marks_in_Java Fav_color
##   <chr>             <dbl>         <dbl> <chr>    
## 1 ILHAM                91            89 Pink     
## 2 KURNIAWAN            85            91 Red      
## 3 DEDDY                92            88 Yellow   
## 4 KORBUZER             89            91 Green    
## 5 SOKOWI               90            89 White    
## 6 DODO                 93            87 Blue
library(tidyverse)
name <- c("ILHAM", "KURNIAWAN", "DEDDY", "KORBUZER", "SOKOWI", "DODO")
marks_in_Math <- c(91, 90, 91, 85, 90, 92)
marks_in_Java <- c(91, 91, 92, 91, 89, 93)
Fav_color <- c("Pink", "Red", "Yellow", "Green", "White", "Blue")

students <- tibble(name, marks_in_Math, marks_in_Java, Fav_color)
students$Fav_color
## [1] "Pink"   "Red"    "Yellow" "Green"  "White"  "Blue"
students$marks_in_Math
## [1] 91 90 91 85 90 92