Implement facetting and data methods #149
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… methods in data_vis_dat and data_vis_cor. See #78
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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 rowsCreated on 2022-11-25 with reprex v2.0.2 Session infosessioninfo::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
#>
#> ────────────────────────────────────────────────────────────────────────────── |
…urned when creating the missing data matrix thingy
Merge remote-tracking branch 'origin/master' into implement-facet-78 # Conflicts: # R/internals.R # R/vis-cor.R
* Refactor and speed up some vis_miss internals * Percentage missing in columns for `vis_miss()` is now rounding to integers - for more accurate representation of missingness summaries please use the `naniar` R package. * update snapshots
* use cli::cli_abort * updates snapshot tests for error messages
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Resolves #78