Tools for Easily Combining and Cleaning Data Sets
Tools for combining and cleaning data sets, particularly
with grouped and time series data.
c(
person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
role = c("aut", "cre"))
)

An Interactive Editor for Viewing, Entering & Editing Data
person(given = "Dillon",
family = "Hammill",
role = c("aut", "cre"),
email = "Dillon.Hammill@anu.edu.au",
comment = c(ORCID = "0000-0002-1407-7223"))
An interactive editor built on 'rhandsontable' to allow the
interactive viewing, entering and editing of data in R
<https://dillonhammill.github.io/DataEditR/>.
Dillon Hammill [aut, cre] (<https://orcid.org/0000-0002-1407-7223>)

An Interactive Editor for Viewing, Entering, Filtering & Editing
Data
An interactive editor built on 'rhandsontable' to allow the
interactive viewing, entering, filtering and editing of data in R
<https://dillonhammill.github.io/DataEditR/>.
shiny, shinyBS, shinyjs, shinythemes, rhandsontable,
rstudioapi, htmltools, miniUI, utils

shiny (>= 1.5.0), shinyBS, shinyjs, shinythemes,
rhandsontable, rstudioapi, htmltools, miniUI, utils

shiny (>= 1.5.0), shinyBS, shinyjs, shinythemes, rhandsontable
(>= 0.3.8), rstudioapi, htmltools, miniUI, utils

shiny (>= 1.5.0), shinyBS, shinyjs, bslib, rhandsontable (>=
0.3.8), rstudioapi, htmltools, miniUI, utils

Make it Easier to Enter Questionnaire Data
This is a GUI application for defining
attributes and setting valid values of variables, and then,
entering questionnaire data in a data.frame.

person("Boxuan", "Cui", email = "boxuancui@gmail.com", role = c("aut", "cre"))
Data exploration process for data analysis and model building, so
that users could focus on understanding data and extracting insights. The
package automatically scans through each variable and does data profiling.
Typical graphical techniques will be performed for both discrete and
continuous features.

testthat, covr, knitr, jsonlite, nycflights13

data.table (>= 1.11), reshape2 (>= 1.4), ggplot2 (>= 2.2),
scales (>= 0.5), gridExtra (>= 2.3), rmarkdown (>= 1.9),
networkD3 (>= 0.4), stats, utils, tools