Imports: shiny (>= 1.0), DT, dplyr (>= 1.0), tidyr (>= 1.0), ggplot2,
highr, formatR, scatterD3 (>= 0.9.2), RColorBrewer

Title: A Tool for Large-Scale Exploratory Analyses
Description: Conduct numerous exploratory analyses in an instant with a
point-and-click interface. With one simple command, this tool
launches a Shiny App on the local machine. Drag and drop variables
in a data set to categorize them as possible independent,
dependent, moderating, or mediating variables. Then run dozens
(or hundreds) of analyses instantly to uncover any statistically
significant relationships among variables. Any relationship
thus uncovered should be tested in follow-up studies.
This tool is designed only to facilitate exploratory
analyses and should NEVER be used for p-hacking. Many of
the functions used in this package are direct copies of functions
Chang et al. (2021) <https://CRAN.R-project.org/package=shiny>.
Chang et al. (2018) <https://CRAN.R-project.org/package=shinydashboard>.
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>.
Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>.
Imports: data.table, DT, ggplot2, ggridges, lemon, lm.beta, mediation,

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code or use a easy to remember set of tidy functions. Introduces two main verbs for data analysis. describe() to describe a variable or table, explore() to graphically explore a variable or table.
Imports: broom, dplyr, DBI, DT, ggplot2 (>= 3.0.0), gridExtra,
magrittr, MASS, odbc, rlang, rpart, rpart.plot, shiny,

Description: Interactive data exploration with one line of code or use a easy to remember set of tidy functions for exploratory data analysis. Introduces two main verbs. describe() to describe a variable or table, explore() to graphically explore a variable or table.

Description: Interactive data exploration with one line of code or use an easy to remember set of tidy functions for exploratory data analysis. Introduces two main verbs. describe() to describe a variable or table, explore() to graphically explore a variable or table.