{industRial} is the companion package to the book industRial Data
Science. It provides data sets and functions to complete the case
studies and contains the book original files and exercises.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("J-Ramalho/industRial")The Pareto case study explores the creation of pareto charts and how to make use of them in a day to day situation.
library(industRial)
library(qicharts2)
d_type <- dial_control %>% pull(Defect) %>% as.character()
paretochart(
d_type,
title = "Watch Dial polishing",
subtitle = "Pareto chart",
ylab = "Percentage of deffects",
xlab = "Deffect type",
caption = "Source: Dial Production Team"
) +
theme_industRial()
To report any bug or make suggestions please open an issue: industRialds/issues
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