You can easily customise the appearance of your chart using one of the 13 themes provided, or even build you own theme: use the online theme builder to create your own.

p <- USArrests %>% 
  dplyr::mutate(
    State = row.names(.),
    Rape = -Rape
  ) %>% 
  e_charts(State) %>% 
  e_line(Murder) %>% 
  e_area(Rape, name = "Sick basterd", x.index = 1) %>%  # second y axis
  e_title("Your plot", "Subtext", sublink = "https://john-coene.com") %>% 
  e_x_axis(1, show = FALSE) # hide scond X Axis
#> Warning: package 'bindrcpp' was built under R version 3.4.4

p # default plot
p %>% e_theme("vintage")
p %>% e_theme("westeros")
p %>% e_theme("essos")
p %>% e_theme("wonderland")
p %>% e_theme("walden")
p %>% e_theme("chalk")
p %>% e_theme("infographic")
p %>% e_theme("macarons")
p %>% e_theme("shine")
p %>% e_theme("purple-passion")
p %>% e_theme("halloween")
p %>% e_theme_custom('{"color":["#ff715e","#ffaf51"]}')