replyr_summary
example.
replyr_summary
works on various data sources, counts NA
, and returns a data.frame
(instead of text).
d <- data.frame(x=c(NA,'b'), y=c(1,NA), stringsAsFactors= FALSE)
summary(d)
# x y
# Length:2 Min. :1
# Class :character 1st Qu.:1
# Mode :character Median :1
# Mean :1
# 3rd Qu.:1
# Max. :1
# NA's :1
replyr::replyr_summary(d)
# column index class nrows nna nunique min max mean sd lexmin lexmax
# 1 x 1 character 2 1 NA NA NA NA NA b b
# 2 y 2 numeric 2 1 NA 1 1 1 NA <NA> <NA>
my_db <- dplyr::src_sqlite(":memory:", create = TRUE)
dbData <- dplyr::copy_to(my_db, d)
summary(dbData)
# Length Class Mode
# src 2 src_sqlite list
# ops 3 op_base_remote list
replyr::replyr_summary(dbData)
# column index class nrows nna nunique min max mean sd lexmin lexmax
# 1 x 1 character 2 1 NA NA NA NA NA b b
# 2 y 2 numeric 2 1 NA 1 1 1 NA <NA> <NA>
# glimpse works more like str or head
dplyr::glimpse(dbData)
# Observations: NA
# Variables: 2
# $ x <chr> NA, "b"
# $ y <dbl> 1, NA
rm(list=ls())
gc()
# used (Mb) gc trigger (Mb) max used (Mb)
# Ncells 942642 50.4 1770749 94.6 1770749 94.6
# Vcells 9705758 74.1 26714514 203.9 25689146 196.0