tests/testthat/_snaps/vis-miss.md

In tierneyn/visdat: Preliminary Visualisation of Data

vis_miss fails when an object of the wrong class is provided

Code
  vis_miss(AirPassengers)
Error <rlang_error>
  `vis_dat()` requires a <data.frame>
  the object I see has class(es):
  <ts>

vis_miss correctly see missings in columns labels

Code
  x_labs
Output
  # A tibble: 10 x 1
     x_lab           
     <glue>          
   1 height (7%)     
   2 mass (32%)      
   3 hair_color (6%) 
   4 birth_year (51%)
   5 sex (5%)        
   6 gender (5%)     
   7 homeworld (11%) 
   8 species (5%)    
   9 vehicles (87%)  
  10 starships (77%)

vis_miss correctly aggregate missings in legend

Code
  legend_lab
Output
  # A tibble: 2 x 1
    x_lab              
    <chr>              
  1 "Present \n(71.5%)"
  2 "Missing \n(28.5%)"

data_vis_miss gets the data properly

Code
  the_vis_miss_data
Output
  # A tibble: 918 x 4
      rows variable valueType value
     <int> <chr>    <chr>     <chr>
   1     1 Day      FALSE     FALSE
   2     1 Month    FALSE     FALSE
   3     1 Ozone    FALSE     FALSE
   4     1 Solar.R  FALSE     FALSE
   5     1 Temp     FALSE     FALSE
   6     1 Wind     FALSE     FALSE
   7     2 Day      FALSE     FALSE
   8     2 Month    FALSE     FALSE
   9     2 Ozone    FALSE     FALSE
  10     2 Solar.R  FALSE     FALSE
  # i 908 more rows

data_vis_miss gets the data properly for groups

Code
  the_vis_miss_data_month
Output
  # A tibble: 765 x 5
  # Groups:   Month [5]
     Month  rows variable valueType value
     <int> <int> <chr>    <chr>     <chr>
   1     5     1 Day      FALSE     FALSE
   2     5     1 Ozone    FALSE     FALSE
   3     5     1 Solar.R  FALSE     FALSE
   4     5     1 Temp     FALSE     FALSE
   5     5     1 Wind     FALSE     FALSE
   6     5     2 Day      FALSE     FALSE
   7     5     2 Ozone    FALSE     FALSE
   8     5     2 Solar.R  FALSE     FALSE
   9     5     2 Temp     FALSE     FALSE
  10     5     2 Wind     FALSE     FALSE
  # i 755 more rows

tierneyn/visdat documentation built on June 29, 2023, 9:40 p.m.