theme_clean: Clean visualization themes
In m-clark/visibly: Functions and palettes related to visual enhancement

Description Usage Arguments Details Note Examples

Clean up plots from their defaults.

theme_clean(font_size = 12, font_family = "", center_axis_labels = FALSE)

theme_trueMinimal(font_size = 12, font_family = "", center_axis_labels = FALSE)

theme_plotly(vis, MB = FALSE)

theme_blank(vis, MB = FALSE)

`font_size`	Font size for axis labels in theme_clean
`font_family`	Font family for axis labels in theme_clean
`center_axis_labels`	Logical. Center axis labels in theme_clean. Default is FALSE.
`vis`	A visualization created by ggplot2 or plotly.
`MB`	For plotly, an option to display the mode bar. Defaults to FALSE.

From a gray background, to unnecessary gridlines, to by-default reference lines, some of the more popular visualization packages come out 75\ functions remove unnecessary gridlines, 'de-bold' the blacks, etc.

ggplot2: theme_clean This function takes a ggplot object and removes the gray background, gridlines and adds opacity to the default black axes and labels, allowing the pattern of the visual to be expressed in unimpeded fashion. theme_trueMinimal was the old name of this function and is still usable.
plotly: theme_plotly, theme_blank removes reference lines at zero, and some of its 'modebar' is unnecessary. Otherwise little is changed at this point, except for theme_blank, which is like theme_void for ggplot.

You may continue to override any aspect of these themes. For example with ggplot2, you would just add a theme afterward just like you would any other plot.

library(visibly)
library(ggplot2)

data(mtcars)

ggplot(aes(wt, mpg), data=mtcars) +
  geom_point() +
  labs(title='Plot') +
  theme_clean()

ggplot(aes(wt, mpg), data=mtcars) +
  geom_point() +
  labs(title='Plot') +
  theme_clean(center_axis_labels = TRUE)

library(plotly)
mtcars %>%
  plot_ly(x=~wt, y=~mpg, mode='markers') %>%
  theme_plotly()

mtcars %>%
  plot_ly(x=~wt, y=~mpg, mode='markers') %>%
  theme_blank()