Implement facetting and data methods

Current progress:

library(visdat)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

vis_dat(airquality)

vis_dat(airquality, facet = Month)


vis_cor(airquality)

vis_cor(airquality, facet = Month)


airquality %>% data_vis_dat()
#> # A tibble: 918 × 4
#>     rows variable valueType value
#>    <int> <chr>    <chr>     <chr>
#>  1     1 Day      integer   41   
#>  2     1 Month    integer   190  
#>  3     1 Ozone    integer   7.4  
#>  4     1 Solar.R  integer   67   
#>  5     1 Temp     integer   5    
#>  6     1 Wind     numeric   1    
#>  7     2 Day      integer   36   
#>  8     2 Month    integer   118  
#>  9     2 Ozone    integer   8    
#> 10     2 Solar.R  integer   72   
#> # … with 908 more rows
airquality %>% group_by(Month) %>% data_vis_dat()
#> # A tibble: 765 × 5
#> # Groups:   Month [5]
#>    Month  rows variable valueType value
#>    <int> <int> <chr>    <chr>     <chr>
#>  1     5     1 Day      integer   41   
#>  2     5     1 Ozone    integer   190  
#>  3     5     1 Solar.R  integer   7.4  
#>  4     5     1 Temp     integer   67   
#>  5     5     1 Wind     numeric   1    
#>  6     5     2 Day      integer   36   
#>  7     5     2 Ozone    integer   118  
#>  8     5     2 Solar.R  integer   8    
#>  9     5     2 Temp     integer   72   
#> 10     5     2 Wind     numeric   2    
#> # … with 755 more rows

airquality %>% data_vis_cor()
#> # A tibble: 36 × 3
#>    row_1   row_2     value
#>    <chr>   <chr>     <dbl>
#>  1 Ozone   Ozone    1     
#>  2 Ozone   Solar.R  0.348 
#>  3 Ozone   Wind    -0.602 
#>  4 Ozone   Temp     0.698 
#>  5 Ozone   Month    0.165 
#>  6 Ozone   Day     -0.0132
#>  7 Solar.R Ozone    0.348 
#>  8 Solar.R Solar.R  1     
#>  9 Solar.R Wind    -0.0568
#> 10 Solar.R Temp     0.276 
#> # … with 26 more rows
airquality %>% group_by(Month) %>% data_vis_cor()
#> # A tibble: 125 × 4
#> # Groups:   Month [5]
#>    Month row_1   row_2     value
#>    <int> <chr>   <chr>     <dbl>
#>  1     5 Ozone   Ozone    1     
#>  2     5 Ozone   Solar.R  0.243 
#>  3     5 Ozone   Wind    -0.374 
#>  4     5 Ozone   Temp     0.554 
#>  5     5 Ozone   Day      0.302 
#>  6     5 Solar.R Ozone    0.243 
#>  7     5 Solar.R Solar.R  1     
#>  8     5 Solar.R Wind    -0.227 
#>  9     5 Solar.R Temp     0.455 
#> 10     5 Solar.R Day     -0.0644
#> # … with 115 more rows

^{Created on 2022-11-25 with reprex v2.0.2}

Session info

``` r sessioninfo::session_info() #> ─ Session info ─────────────────────────────────────────────────────────────── #> setting value #> version R version 4.2.1 (2022-06-23) #> os macOS Monterey 12.3.1 #> system aarch64, darwin20 #> ui X11 #> language (EN) #> collate en_US.UTF-8 #> ctype en_US.UTF-8 #> tz Australia/Brisbane #> date 2022-11-25 #> pandoc 2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown) #> #> ─ Packages ─────────────────────────────────────────────────────────────────── #> package * version date (UTC) lib source #> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.2.0) #> cli 3.4.1 2022-09-23 [1] CRAN (R 4.2.0) #> colorspace 2.0-3 2022-02-21 [1] CRAN (R 4.2.0) #> curl 4.3.3 2022-10-06 [1] CRAN (R 4.2.0) #> DBI 1.1.3 2022-06-18 [1] CRAN (R 4.2.0) #> digest 0.6.30 2022-10-18 [1] CRAN (R 4.2.0) #> dplyr * 1.0.10 2022-09-01 [1] CRAN (R 4.2.0) #> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.0) #> evaluate 0.17 2022-10-07 [1] CRAN (R 4.2.0) #> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.0) #> farver 2.1.1 2022-07-06 [1] CRAN (R 4.2.0) #> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.0) #> fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.0) #> generics 0.1.3 2022-07-05 [1] CRAN (R 4.2.0) #> ggplot2 3.3.6 2022-05-03 [1] CRAN (R 4.2.0) #> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0) #> gtable 0.3.1 2022-09-01 [1] CRAN (R 4.2.0) #> highr 0.9 2021-04-16 [1] CRAN (R 4.2.0) #> htmltools 0.5.3 2022-07-18 [1] CRAN (R 4.2.0) #> httr 1.4.4 2022-08-17 [1] CRAN (R 4.2.0) #> knitr 1.40 2022-08-24 [1] CRAN (R 4.2.0) #> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.2.0) #> lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.2.0) #> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0) #> mime 0.12 2021-09-28 [1] CRAN (R 4.2.0) #> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.2.0) #> pillar 1.8.1 2022-08-19 [1] CRAN (R 4.2.0) #> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0) #> purrr 0.3.5 2022-10-06 [1] CRAN (R 4.2.0) #> R.cache 0.16.0 2022-07-21 [1] CRAN (R 4.2.0) #> R.methodsS3 1.8.2 2022-06-13 [1] CRAN (R 4.2.0) #> R.oo 1.25.0 2022-06-12 [1] CRAN (R 4.2.0) #> R.utils 2.12.0 2022-06-28 [1] CRAN (R 4.2.0) #> R6 2.5.1 2021-08-19 [1] CRAN (R 4.2.0) #> reprex 2.0.2 2022-08-17 [1] CRAN (R 4.2.0) #> rlang 1.0.6 2022-09-24 [1] CRAN (R 4.2.0) #> rmarkdown 2.17 2022-10-07 [1] CRAN (R 4.2.0) #> rstudioapi 0.14 2022-08-22 [1] CRAN (R 4.2.0) #> scales 1.2.1 2022-08-20 [1] CRAN (R 4.2.0) #> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.0) #> stringi 1.7.8 2022-07-11 [1] CRAN (R 4.2.0) #> stringr 1.4.1 2022-08-20 [1] CRAN (R 4.2.0) #> styler 1.7.0 2022-03-13 [1] CRAN (R 4.2.0) #> tibble 3.1.8 2022-07-22 [1] CRAN (R 4.2.0) #> tidyr 1.2.1 2022-09-08 [1] CRAN (R 4.2.0) #> tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.2.0) #> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.0) #> vctrs 0.4.2 2022-09-29 [1] CRAN (R 4.2.0) #> visdat * 0.6.0.9000 2022-11-25 [1] local #> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.0) #> xfun 0.33 2022-09-12 [1] CRAN (R 4.2.0) #> xml2 1.3.3 2021-11-30 [1] CRAN (R 4.2.0) #> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.2.0) #> #> [1] /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library #> #> ────────────────────────────────────────────────────────────────────────────── ```

ropensci / visdat

Implement facetting and data methods #149