interactive.eda_ggplot: Interactive Dashboard for Exploratory Data Analysis (ggplot)
In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R

Description Usage Arguments Details Value Examples

This function runs an interactive dashboard which allows to explore data in a WYSIWYG (What You See Is What You Get). It uses automated variable detection along with smart automated plotting, which eases the task for data exploration.

1 2	interactive.eda_ggplot(data, p_back = "red", f_back = "red", side_width = 300, max_height = 820)

`data`	Type: data.table (preferred) or data.frame. The data you want to explore. Using a data.table allows to avoid copying in-memory when switching datasets.
`p_back`	Type: character. A background color character for the plot frame. Defaults to `"red"`.
`f_back`	Type: character. A background color character for the header. Defaults to `"red"`.
`side_width`	Type: numeric. The width of the sidebar containing variable names. Defaults to `300`.
`max_height`	Type: numeric. The maximum height for the plots. Defaults to `820`, which fits nicely Full HD screens (820 vertical pixels).

Plotting is done using plotluck, which must be loaded along ggplot2.

The colors (p_back) allowed are the following:

red: red color
yellow: yellow color
aqua: aqua color
blue: blue color
light-blue: light-blue color
green: green color
navy: navy color
teal: teal color
olive: olive color
lime: lime color
orange: orange color
fuchsia: fuchsia color
purple: purple color
maroon: maroon color
black: black color

The colors (header: f_back) allowed are the following:

blue: blue color
black: black color
purple: purple color
green: green color
red: red color
yellow: yellow color

Nothing

## Not run: 
library(shiny)
library(shinydashboard)
library(ggplot2)
library(plotluck)
library(datasets)
data(faithful)
interactive.eda_ggplot(data = faithful,
                       p_back = "red",
                       f_back = "red",
                       side_width = 300,
                       max_height = 820)

## End(Not run)