show_plot: Simple graphical inspection of dataframe summaries

In inspectdf: Inspection, Comparison and Visualisation of Data Frames

Simple graphical inspection of dataframe summaries

Description

Easily visualise output from inspect_*() functions.

Usage

show_plot(x, ...)

Arguments

x	Dataframe resulting from the output of an inspect_*() function.
...	Optional arguments that modify the plot output, see Details.

Details

Generic arguments for all plot type

text_labels

Boolean. Whether to show text annotation on plots. Defaults to TRUE.

label_color

Character string or character vector specifying colors for text annotation, if applicable. Usually defaults to white and gray.

label_angle

Numeric value specifying angle with which to rotate text annotation, if applicable. Defaults to 90 for most plots.

label_size

Numeric value specifying font size for text annotation, if applicable.

col_palette

Integer indicating the colour palette to use: 0: (default) 'ggplot2' color palette, 1: colorblind friendly palette, 2: 80s theme, 3: rainbow theme, 4: mario theme, 5: pokemon theme

Arguments for plotting inspect_cat()

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.

label_thresh

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.

Other arguments

plot_type

Experimental. Integer determining plot type to print. Defaults to 1.

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).

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)

inspectdf documentation built on Aug. 9, 2022, 9:05 a.m.