Data, Functions and Support Materials from the Book "industRial Data Science"

Companion package to the book "industRial data science", J.Ramalho (2021) < https://j-ramalho.github.io/industRial/>. Provides data sets and functions to complete the case studies and contains the book original Rmd files and tutorials.

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()