tests/testthat/_snaps/skim_tee.md

In ropenscilabs/skimr: Compact and Flexible Summaries of Data

Using skim_tee prints returns the object

Code
  skim_object <- skim_tee(chickwts)
Output
  -- Data Summary ------------------------
                             Values
  Name                       data  
  Number of rows             71    
  Number of columns          2     
  _______________________          
  Column type frequency:           
    factor                   1     
    numeric                  1     
  ________________________         
  Group variables            None

  -- Variable type: factor -------------------------------------------------------
    skim_variable n_missing complete_rate ordered n_unique
  1 feed                  0             1 FALSE          6
    top_counts                        
  1 soy: 14, cas: 12, lin: 12, sun: 12

  -- Variable type: numeric ------------------------------------------------------
    skim_variable n_missing complete_rate mean   sd  p0  p25 p50  p75 p100 hist 
  1 weight                0             1 261. 78.1 108 204. 258 324.  423 ▆▆▇▇▃

skim_tee prints only selected columns, but returns full object

Code
  obj <- skim_tee(iris, Species)
Output
  -- Data Summary ------------------------
                             Values
  Name                       data  
  Number of rows             150   
  Number of columns          5     
  _______________________          
  Column type frequency:           
    factor                   1     
  ________________________         
  Group variables            None

  -- Variable type: factor -------------------------------------------------------
    skim_variable n_missing complete_rate ordered n_unique
  1 Species               0             1 FALSE          3
    top_counts               
  1 set: 50, ver: 50, vir: 50

skim_tee supports dplyr helpers

Code
  obj <- skim_tee(iris, starts_with("Sepal"))
Output
  -- Data Summary ------------------------
                             Values
  Name                       data  
  Number of rows             150   
  Number of columns          5     
  _______________________          
  Column type frequency:           
    numeric                  2     
  ________________________         
  Group variables            None

  -- Variable type: numeric ------------------------------------------------------
    skim_variable n_missing complete_rate mean    sd  p0 p25 p50 p75 p100 hist 
  1 Sepal.Length          0             1 5.84 0.828 4.3 5.1 5.8 6.4  7.9 ▆▇▇▅▂
  2 Sepal.Width           0             1 3.06 0.436 2   2.8 3   3.3  4.4 ▁▆▇▂▁

Skim_tee works with groups

Code
  obj <- skim_tee(iris_grouped, Sepal.Length, skim_fun = my_skim)
Output
  -- Data Summary ------------------------
                             Values 
  Name                       data   
  Number of rows             150    
  Number of columns          5      
  _______________________           
  Column type frequency:            
    numeric                  1      
  ________________________          
  Group variables            Species

  -- Variable type: numeric ------------------------------------------------------
    skim_variable Species    n_missing complete_rate mean    sd  p0  p25 p50 p75
  1 Sepal.Length  setosa             0             1 5.01 0.352 4.3 4.8  5   5.2
  2 Sepal.Length  versicolor         0             1 5.94 0.516 4.9 5.6  5.9 6.3
  3 Sepal.Length  virginica          0             1 6.59 0.636 4.9 6.22 6.5 6.9
    p100
  1  5.8
  2  7  
  3  7.9

ropenscilabs/skimr documentation built on Feb. 2, 2025, 12:14 p.m.