In MonkmanMH/dpjr: Companion data for the book The Data Preparation Journey: Finding Your Way With R

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dpjr

Companion Data for the book The Data Preparation Journey: Finding Your Way With R

• published by Chapman & Hall/CRC Press on 2024-05-07.

• the web version of book is available here

Installation

To download and install the {dpjr} package, you will need the {remotes} package:

install.packages("remotes")
remotes::install_github("monkmanmh/dpjr")

Once you have {dpjr} installed, load it using the library() function:

library(dpjr)

Usage

There are two groups of datasets in the package: pre-rendered? tables, and raw files.

Raw data files

The convenience function dpjr_data() generates the path to the raw data file, independent of the specific location on the user's computer.

For example, to read the CSV file "mpg.csv":

df_mtcars <- read.csv(dpjr::dpjr_data("mpg.csv"))

An alternative to this approach is to access files using the system.file() function.

Example:

system.file("extdata", package = "dpjr")

system.file("extdata", "mpg.csv", package = "dpjr")

read.csv(system.file("extdata", "mpg.csv", package = "dpjr"))

Data files

A list of the the raw data files can be found in the vignette "Data list".

National Travel Survey data

Note that the National Travel Survey (NTS) data referenced in Chapter 7 of the book is not included in the {dpjr} package. The microdata file for the 2020 reference year can be found here:

• https://doi.org/10.25318/24250001

• Additional information about the NTS can be found here: https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=1535550&

Licenses

The data files in this package that are created by Martin Monkman and are licensed under

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Canada License.

Data files sourced from elsewhere are licensed under a variety of open licenses; see the "Data licenses" vignette for details.

Latest update

Updated r Sys.Date()

MonkmanMH/dpjr documentation built on Aug. 9, 2024, 5:44 p.m.