visdat
visdat copied to clipboard
Published
20 hours ago •
ropensci
ropensci
vis_miss long name of variables
Hello, I want to use vis_miss with very long variables, is there a solution to enlarge the graphic part? To avoid that it is overwritten like bellow..
Thanks for your help
Hi there!
That is a good question,
I can think of two solutions
You can change the theme(text = element_text(size = 6)
Or you can abbreviate the name - I've hacked together these solutions below. I think I'll try and implement an abbreviation mechanism inside the visdat package, as this is something that has bothered me for some time now.
Let me know if this works for you?
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
library(ggplot2)
df <- as_tibble(airquality) %>%
rename(really_really_really_really_really_really_realllllly_long_name = Ozone)
vis_miss(df)
vis_miss(df) +
theme(text = element_text(size = 6))
nchar_over <- function(x) nchar(x) > 20
nchar_over(state.name)
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [49] FALSE FALSE
df %>%
rename_with(
.fn = ~abbreviate(.x, 10, method = "both"),
# this didn't work with ncar_over for some reason?
.cols = everything()
) %>%
vis_miss()
Created on 2021-09-22 by the reprex package (v2.0.1)
Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.1.0 (2021-05-18)
#> os macOS Big Sur 10.16
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Perth
#> date 2021-09-22
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.0)
#> backports 1.2.1 2020-12-09 [1] CRAN (R 4.1.0)
#> cli 3.0.1 2021-07-17 [1] CRAN (R 4.1.0)
#> colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.0)
#> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.1.0)
#> curl 4.3.2 2021-06-23 [1] CRAN (R 4.1.0)
#> DBI 1.1.1 2021-01-15 [1] CRAN (R 4.1.0)
#> digest 0.6.27 2020-10-24 [1] CRAN (R 4.1.0)
#> dplyr * 1.0.7 2021-06-18 [1] CRAN (R 4.1.0)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.1.0)
#> fansi 0.5.0 2021-05-25 [1] CRAN (R 4.1.0)
#> farver 2.1.0 2021-02-28 [1] CRAN (R 4.1.0)
#> fs 1.5.0 2020-07-31 [1] CRAN (R 4.1.0)
#> generics 0.1.0 2020-10-31 [1] CRAN (R 4.1.0)
#> ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.1.0)
#> glue 1.4.2 2020-08-27 [1] CRAN (R 4.1.0)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.0)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.1.0)
#> htmltools 0.5.1.1 2021-01-22 [1] CRAN (R 4.1.0)
#> httr 1.4.2 2020-07-20 [1] CRAN (R 4.1.0)
#> knitr 1.33 2021-04-24 [1] CRAN (R 4.1.0)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.1.0)
#> lifecycle 1.0.0 2021-02-15 [1] CRAN (R 4.1.0)
#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.1.0)
#> mime 0.11 2021-06-23 [1] CRAN (R 4.1.0)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.0)
#> pillar 1.6.2 2021-07-29 [1] CRAN (R 4.1.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.0)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.1.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.0)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.0)
#> rlang 0.4.11 2021-04-30 [1] CRAN (R 4.1.0)
#> rmarkdown 2.9 2021-06-15 [1] CRAN (R 4.1.0)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.0)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.1.0)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.1.0)
#> stringi 1.7.3 2021-07-16 [1] CRAN (R 4.1.0)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.1.0)
#> styler 1.4.1 2021-03-30 [1] CRAN (R 4.1.0)
#> tibble 3.1.3 2021-07-23 [1] CRAN (R 4.1.0)
#> tidyr 1.1.3 2021-03-03 [1] CRAN (R 4.1.0)
#> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.1.0)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.0)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.1.0)
#> visdat * 0.6.0.9000 2021-07-05 [1] local
#> withr 2.4.2 2021-04-18 [1] CRAN (R 4.1.0)
#> xfun 0.24 2021-06-15 [1] CRAN (R 4.1.0)
#> xml2 1.3.2 2020-04-23 [1] CRAN (R 4.1.0)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.1.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.1/Resources/library
I've added a new function, abbreviate_vars() to assist with this:
library(visdat)
long_data <- data.frame(
really_really_long_name = c(NA, NA, 1:8),
very_quite_long_name = c(-1:-8, NA, NA),
this_long_name_is_something_else = c(NA, NA,
seq(from = 0, to = 1, length.out = 8))
)
vis_miss(long_data)
long_data %>% abbreviate_vars() %>% vis_miss()
long_data %>% abbreviate_vars(min_length = 5) %>% vis_miss()
long_data %>% abbreviate_vars(min_length = 15) %>% vis_miss()
Created on 2022-10-21 with reprex v2.0.2
Session info
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_AU.UTF-8
#> ctype en_AU.UTF-8
#> tz Australia/Perth
#> date 2022-10-21
#> pandoc 2.19.2 @ /Applications/RStudio.app/Contents/MacOS/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 2022-10-21 [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
#>
#> ──────────────────────────────────────────────────────────────────────────────