na_summary: An all-in-one missingness report
In mde: Missing Data Explorer

An all-in-one missingness report

na_summary(
  df,
  grouping_cols = NULL,
  sort_by = NULL,
  descending = FALSE,
  exclude_cols = NULL,
  pattern = NULL,
  pattern_type = NULL,
  regex_kind = "exclusion",
  round_to = NULL,
  reset_rownames = FALSE
)

`df`	A valid R 'object' for which the percentage of missing values is required.
`grouping_cols`	A character vector. If supplied, one can provide the columns by which to group the data.
`sort_by`	One of counts or percents. This determines whether the results are sorted by counts or percentages.
`descending`	Logical. Should missing values be sorted in decreasing order ie largest to smallest? Defaults to FALSE.
`exclude_cols`	A character vector indicating columns to exclude when returning results.
`pattern`	Pattern to use for exclusion or inclusion. column inclusion criteria.
`pattern_type`	A regular expression type. One of "starts_with", "contains", or "regex". Defaults to NULL. Only use for selective inclusion.
`regex_kind`	One of inclusion or exclusion. Defaults to exclusion to exclude columns using regular expressions.
`round_to`	Number of places to round 2. Defaults to user digits option.
`reset_rownames`	Should the rownames be reset in the output? defaults to FALSE

na_summary(airquality)
# grouping
test2 <- data.frame(ID= c("A","A","B","A","B"),Vals = c(rep(NA,4),"No"),
ID2 = c("E","E","D","E","D"))
df <- data.frame(A=1:5,B=c(NA,NA,25,24,53), C=c(NA,1,2,3,4))

na_summary(test2,grouping_cols = c("ID","ID2"))
# sort summary
na_summary(airquality,sort_by = "percent_missing",descending = TRUE)
na_summary(airquality,sort_by = "percent_complete")
# Include only via a regular expression
na_summary(mtcars, pattern_type = "contains",
pattern = "mpg|disp|wt", regex_kind = "inclusion")
na_summary(airquality, pattern_type = "starts_with",
pattern = "ozone", regex_kind = "inclusion")
# exclusion via a regex
na_summary(airquality, pattern_type = "starts_with",
pattern = "oz|Sol", regex_kind = "exclusion")
# reset rownames when sorting by variable
na_summary(df,sort_by="variable",descending=TRUE, reset_rownames = TRUE)