R: Simple graphical inspection of dataframe summaries

show_plot {inspectdf}

R Documentation

Simple graphical inspection of dataframe summaries

Description

Easily visualise output from inspect_*() functions.

Usage

show_plot(
  x,
  text_labels = TRUE,
  alpha = 0.05,
  high_cardinality = 0,
  plot_layout = NULL,
  col_palette = 0,
  plot_type = 1,
  label_thresh = 0.1,
  label_angle = NULL,
  label_color = NULL,
  label_size = NULL
)

Arguments

`x`	Dataframe resulting from a call to an `inspect_*()` function.
`text_labels`	Boolean. Whether to show text annotation on plots. Defaults to `TRUE`.
`alpha`	Alpha level for performing any significance tests. Defaults to 0.05.
`high_cardinality`	Minimum number of occurrences of category to be shown as a distinct segment in the plot (`inspect_cat()` only). Default is 0 - all distinct levels are shown. Setting `high_cardinality > 0` can speed up plot rendering when categorical columns contain many near-unique values.
`plot_layout`	Vector specifying the number of rows and columns in the plotting grid. For example, 3 rows and 2 columns would be specified as `plot_layout = c(3, 2)`.
`col_palette`	Integer indicating the colour palette to use: `0`: (default) 'ggplot2' color palette `1`: a colorblind friendly palette `2`: 80s theme `3`: rainbox theme `4`: mario theme `5`: pokemon theme
`plot_type`	Experimental. Integer determining plot type to print. Defaults to 1.
`label_thresh`	(`inspect_cat()` only. Minimum occurrence frequency of category for a text label to be shown. Smaller values of `label_thresh` will show labels for less common categories but at the expense of increased plot rendering time. Defaults to 0.1.
`label_angle`	Numeric value specifying angle with which to rotate text annotation, if applicable. Defaults to 90 for most plots.
`label_color`	Character string or character vector specifying colors for text annotation, if applicable. Usually defaults to white and gray.
`label_size`	Numeric value specifying font size for text annotation, if applicable.

Examples

# Load 'starwars' data
data("starwars", package = "dplyr")

# Horizontal bar plot for categorical column composition
x <- inspect_cat(starwars) 
show_plot(x)

# Correlation betwee numeric columns + confidence intervals
x <- inspect_cor(starwars)
show_plot(x)

# Bar plot of most frequent category for each categorical column
x <- inspect_imb(starwars)
show_plot(x)

# Bar plot showing memory usage for each column
x <- inspect_mem(starwars)
show_plot(x)

# Occurence of NAs in each column ranked in descending order
x <- inspect_na(starwars)
show_plot(x)

# Histograms for numeric columns
x <- inspect_num(starwars)
show_plot(x)

# Barplot of column types
x <- inspect_types(starwars)
show_plot(x)

[Package inspectdf version 0.0.10 Index]