An interactive table interface for data summaries
Install package from GitHub with:
# install.packages("devtools")
devtools::install_github("agstn/dataxray")
Example using ggplot2 diamonds data
library(dataxray)
diamonds <- diamonds %>%
mutate(price = structure(price, label = 'price in US dollars'),
carat = structure(carat, label = 'weight of the diamond'),
cut = structure(cut, label = 'quality of the cut (Fair, Good, Very Good, Premium, Ideal)'),
color = structure(color, label = 'diamond colour, from D (best) to J (worst)'),
clarity = structure(clarity, label = 'a measurement of how clear the diamond is
(I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))'),
x = structure(x, label = 'length in mm'),
y = structure(y, label = 'width in mm'),
z = structure(z, label = 'depth in mm'),
depth = structure(depth, label = 'total depth percentage = z / mean(x, y) = 2 * z / (x + y)'),
table = structure(table, label = 'width of top of diamond relative to widest point'))
diamonds %>%
report_xray(data_name = 'Diamonds', study = 'ggplot2')
RStudio IDE Viewer pane
library(dataxray)
diamonds %>%
make_xray() %>%
view_xray()
