Uses very generic dplyr code to aggregate data and then `ggplot2` to create the plot. Because of this approach, the calculations automatically run inside the database if `data` has a database or sparklyr connection. The `class()` of such tables in R are: tbl_sql, tbl_dbi, tbl_spark

dbplot_bar(data, x, ..., y = n())

Arguments

data

A table (tbl)

x

A discrete variable

...

A set of named or unamed aggregations

y

The aggregation formula. Defaults to count (n)

See also

Examples

library(ggplot2) library(dplyr) # Returns a plot of the row count per am mtcars %>% dbplot_bar(am)
# Returns a plot of the average mpg per am mtcars %>% dbplot_bar(am, mean(mpg))
# Returns the average and sum of mpg per am mtcars %>% dbplot_bar(am, avg_mpg = mean(mpg), sum_mpg = sum(mpg))
#> $avg_mpg
#> #> $sum_mpg
#>