plot_outliers: Plot outlying sessions

In mcanigueral/evprof: Electric Vehicle Charging Sessions Profiling and Modelling

Plot outlying sessions

Description

Plot outlying sessions

Usage

plot_outliers(
  sessions,
  start = getOption("evprof.start.hour"),
  log = FALSE,
  ...
)

Arguments

sessions	tibble, sessions data set in evprof standard format
start	integer, start hour in the x axis of the plot.
log	logical, whether to transform ConnectionStartDateTime and ConnectionHours variables to natural logarithmic scale (base = exp(1)).
...	arguments to pass to function ggplot2::plot_point

Value

ggplot2 plot

Examples

library(dplyr)
sessions_outliers <- california_ev_sessions %>%
  sample_frac(0.05) %>%
  detect_outliers(start = 3, noise_th = 5, eps = 2.5)
plot_outliers(sessions_outliers, start = 3)
plot_outliers(sessions_outliers, start = 3, log = TRUE)

mcanigueral/evprof documentation built on June 2, 2025, 12:43 p.m.