descplot: View descriptive statistics via plot

In dataprep: Fast, Efficient, and Versatile Data Preprocessing and Reshaping with 'C++', 'OpenMP' & 'SIMD'

View descriptive statistics via plot

Description

Applies descdata to the selected columns and produces a plot showing the descriptive statistics. The plot is generated using ggplot2 and a suitable melt function.

Usage

descplot(data, cols = NULL, stats = 1:9, first = "variables",
         ncol = NULL, num_xaxis = "log", verbose = FALSE)

Arguments

data	A data frame containing numeric columns to describe.
cols	Column indices or names of numeric variables. If NULL, all numeric columns are used.
stats	Statistics to plot, as in descdata.
first	Name for the variable identifier column (passed to descdata).
ncol	Number of columns in the facet layout (passed to facet_wrap).
num_xaxis	How to treat numeric column names on the x-axis. Options: "log" (default): if all selected column names are numeric, convert to numeric and use log10 scale; "numeric": convert to numeric but use linear scale; "character", "factor", "keep", or FALSE: keep as character/factor (no conversion).
verbose	Logical; if TRUE, prints timing message.

Details

This function first calls descdata and then melts the result into a long format suitable for ggplot2. If the column names of the original data are numeric, the plot uses a logarithmic x-axis and line geometry; otherwise, a bar plot is produced. The num_xaxis parameter allows overriding the default log transform.

Value

A ggplot object displaying the descriptive statistics.

Author(s)

Chun-Sheng Liang <[e-mail]>

References

1. Example data is from https://smear.avaa.csc.fi/download. It includes particle number concentrations in SMEAR I Varrio forest. 2. Wickham, H. 2016. ggplot2: elegant graphics for data analysis. Springer-Verlag New York.

Examples

descplot(data, cols = 5:65)
descplot(data, cols = 5:65, stats = c("min","max","IQR"), num_xaxis = "numeric")

dataprep documentation built on Oct. 1, 2026, 5:07 p.m.