small_multiples_data

<p>Contains a sample dataset for small multiples</p>

datasets

Powerful graphical displays and statistical tools for structured problem solving and diagnosis.
The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique.
The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays
built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as
adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file.
References:
David Hartshorne (2019, ISBN: 978-1-5272-5139-7).
Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).

Gabor Szabo

sherlock

Graphical Displays for Structured Problem Solving and Diagnosis

small_multiples_data function

<p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 2900 rows and 4 columns.</p>

small_multiples_data: Small Multiples Sample Dataset

Description

Usage

Arguments

Format

Examples