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Report targetpct
Roland Krasser
2024-11-12
Automated Exploratory Analysis (auto EDA) using the
report() function of the explore package.
In this example we use synthetic data created by the
create_data_churn()function of the explore package.
library(dplyr)
library(explore)
data <- create_data_churn()
Then we generate the report.
data %>% report(target = churn, targetpct = TRUE, output_dir = tempdir())
Explore
Describe Data
#> 1 000 (1k) observations with 9 variables
#> 0 observations containing missings (NA)
#> 0 variables containing missings (NA)
#> 0 variables with no variance
#> # A tibble: 9 x 8
#> variable type na na_pct unique min mean max
#> <chr> <chr> <int> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 price dbl 0 0 26 4 19.1 29
#> 2 type chr 0 0 3 NA NA NA
#> 3 usage dbl 0 0 160 0 54.7 150
#> 4 shared int 0 0 2 0 0.4 1
#> 5 device chr 0 0 3 NA NA NA
#> 6 newsletter int 0 0 2 0 0.5 1
#> 7 language chr 0 0 4 NA NA NA
#> 8 duration int 0 0 101 0 49.6 100
#> 9 churn dbl 0 0 2 0 0.35 1
Describe Target
Explore Variables
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