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❗ This is a read-only mirror of the CRAN R package repository. industRial — Data, Functions and Support Materials from the Book "industRial Data Science". Homepage: https://github.com/J-Ramalho/industRial Report bugs for this package: https://github.com/J-Ramalho/industRial/issues

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industRial

{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.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("J-Ramalho/industRial")

Example

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()

Issues

To report any bug or make suggestions please open an issue: industRialds/issues

About

❗ This is a read-only mirror of the CRAN R package repository. industRial — Data, Functions and Support Materials from the Book "industRial Data Science". Homepage: https://github.com/J-Ramalho/industRial Report bugs for this package: https://github.com/J-Ramalho/industRial/issues

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