Jason Ge, Xingguo Li, Haoming Jiang, Mengdi Wang, Tong Zhang, Han Liu and Tuo Zhao

Pick Data Points from a Deck.gl Scatterplot
person(given = "Alex",
family = "Pickering",
role = c("aut", "cre"),
email = "alexvpickering@gmail.com")
Performant interactive scatterplot for ~ 1 million points. Zoom, pan,
and pick points. Includes tooltips, labels, a grid overlay, legend, and
coupled interactions across multiple plots.

c(person("Kevin", "Dunn", role = c("aut", "cre"),
email = "kevin.dunn@mcmaster.ca"))
A collection of scripts and data files for the statistics text:
"Process Improvement using Data". The package contains code for designed
experiments, data sets and other convenience functions used in the book.

R (>= 2.15.0), ggplot2, stats, png, FrF2, DoE.base

c(person("Kevin", "Dunn", role = c("aut", "cre"),
email = "kgdunn@gmail.com"))
ggplot2, stats, png, FrF2, DoE.base, FrF2.catlg128
A collection of scripts and data files for the statistics text:
"Process Improvement using Data" <https://learnche.org/pid> and the online
course "Experimentation for Improvement" found on Coursera. The package
contains code for designed experiments, data sets and other convenience
functions used in the book.

c(
person(given = "Jon",
family = "Harmon",
role = c("aut", "cre"),
email = "jonthegeek@gmail.com",
comment = c(ORCID = "0000-0003-4781-4346")),
person(given = "Jonathan",
family = "Bratt",
role = c("aut"),
email = "jonathan.bratt@macmillan.com",
comment = c(ORCID = "0000-0003-2859-0076")),
person(given = "Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning",
role = c("cph"))
)
Tokenizers break text into pieces that are more usable by machine
learning models. Many tokenizers share some preparation steps. This package
provides those shared steps, along with a simple tokenizer.
purrr, rlang (>= 0.4.2), stringi, stringr
Jon Harmon [aut, cre] (<https://orcid.org/0000-0003-4781-4346>),
Jonathan Bratt [aut] (<https://orcid.org/0000-0003-2859-0076>),
Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]