Reads in text from 'unstructured' modern Microsoft Office files (XML based files) such as Word and PowerPoint.
This does not read in structured data (from Excel or Access) as there are many other great packages to that do so already.

person(given = "Stephan",
family = "Daus",
role = c("aut", "cre"),
email = "stephus.daus@gmail.com",
comment = c(ORCID = "0000-0003-0230-6997"))
Imports data from the 'SurveyXact' commercial service
<https://www.surveyxact.com/>, adds variable labels, and converts value
labels to factors in the same order as exported from 'SurveyXact'.

Calculate readability scores by grouping variables.  Readability is
an approximation of the ease with which a reader parses and comprehends a
written text.  These scores use text attributes such as syllable counts,
number of words, and number of characters to calculate an approximate
grade level reading ease for the text.  The readability scores that are
calculated include: Flesch Kincaid, Gunning Fog Index, Coleman Liau,
SMOG, and Automated Readability Index.
data.table (>= 1.9.6), ggplot2, stats, syllable, tidyr

Read 'Excel' Files from the Australian Bureau of Statistics into
Tidy Data Sets
c(
person("Zoe", "Meers", role = c("aut", "cre"), email = "zoe.meers@sydney.edu.au"),
person("Jaron", "Lee", role = c("aut"), email = "jaron.lee@sydney.edu.au"))
Reads files from the Australian Bureau of Statistics <https://www.abs.gov.au/> into clean, tidy data sets.
readxl, dplyr, tidyr, sjmisc, rsdmx, readr, stringr

c(
person("Matt", "Cowgill", role = c("aut", "cre"), email = "mattcowgill@gmail.com"),
person("Zoe", "Meers", role = c("aut"), email = "zoe.meers@sydney.edu.au"),
person("Jaron", "Lee", role = c("aut"), email = "jaron.lee@sydney.edu.au"))
Matt Cowgill [aut, cre],
Zoe Meers [aut],
Jaron Lee [aut]

Download and Tidy Time Series Data from the Australian Bureau of
Statistics
Downloads, imports, and tidies time series data from the
Australian Bureau of Statistics <https://www.abs.gov.au/>.
readxl (>= 1.2.0), tibble (>= 1.4.99), dplyr, XML, purrr,
tidyr, rsdmx, readr
knitr, rmarkdown, testthat, RCurl, ggplot2