FreesearchR/man/visual-summary.Rd

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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/visual_summary.R
\name{visual-summary}
\alias{visual-summary}
\alias{visual_summary_ui}
\alias{visual_summary_server}
\alias{modal_visual_summary}
\alias{missings_apex_plot}
\alias{visual_summary}
\title{Data correlations evaluation module}
\usage{
visual_summary_ui(id)
visual_summary_server(id, data_r = shiny::reactive(NULL), ...)
modal_visual_summary(
id,
title = "Visual overview of data classes and missing observations",
easyClose = TRUE,
size = "xl",
footer = NULL,
...
)
missings_apex_plot(data, animation = FALSE, ...)
visual_summary(data, legend.title = NULL, ylab = "Observations", ...)
}
\arguments{
\item{id}{id}
\item{data_r}{reactive data}
\item{...}{optional arguments passed to data_summary_gather()}
\item{title}{title}
\item{easyClose}{easyClose}
\item{size}{modal size}
\item{footer}{modal footer}
\item{data}{data}
\item{legend.title}{Legend title}
\item{ylab}{Y axis label}
}
\value{
Shiny ui module
shiny server
shiny modal
An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.
ggplot2 object
}
\description{
Data correlations evaluation module
Visual summary server
Visual summary modal
Plot missings and class with apexcharter. Not in use with FreesearchR.
Ggplot2 data summary visualisation based on visdat::vis_dat.
}
\examples{
visual_summary_demo_app <- function() {
ui <- shiny::fluidPage(
shiny::actionButton(
inputId = "modal_missings",
label = "Visual summary",
width = "100\%",
disabled = FALSE
)
)
server <- function(input, output, session) {
data_demo <- mtcars
data_demo[sample(1:32, 10), "cyl"] <- NA
data_demo[sample(1:32, 8), "vs"] <- NA
data_demo$gear <- factor(data_demo$gear)
visual_summary_server(id = "data", data = shiny::reactive(data_demo),summary.fun=class)
observeEvent(input$modal_missings, {
tryCatch(
{
modal_visual_summary(id = "data")
},
error = function(err) {
showNotification(paste0("We encountered the following error browsing your data: ", err), type = "err")
}
)
})
}
shiny::shinyApp(ui, server)
}
visual_summary_demo_app()
data_demo <- mtcars
data_demo[2:4, "cyl"] <- NA
rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
data_demo |> missings_apex_plot()
mtcars |> missings_apex_plot(animation = TRUE)
# dplyr::storms |> missings_apex_plot()
visdat::vis_dat(dplyr::storms)
data_demo <- mtcars
data_demo[sample(1:32, 10), "cyl"] <- NA
data_demo[sample(1:32, 8), "vs"] <- NA
visual_summary(data_demo)
visual_summary(data_demo, palette.fun = scales::hue_pal())
visual_summary(dplyr::storms, summary.fun = data_type)
visual_summary(dplyr::storms, summary.fun = data_type, na.label = "Missings", legend.title = "Class")
}