I want the ggplot2 look and feel within Ggvis. Is there a way to achieve this within ggvis?
I have this from ggvis:
Note:
1) Don't like the white background (better the gray one from ggplot2
2) As you see, the bars have an blackline outlined. How to get ride of it?
My code:
Visitas_Por_Fuente %>%
ggvis(~Fuentes, ~sessions) %>%
layer_bars(width = 0.8, fill = ~Fuentes)
My data:
as.data.frame(structure(list(date = structure(c(1417410000, 1417410000, 1417410000,
1417410000, 1417410000, 1417410000, 1417496400, 1417496400, 1417496400,
1417496400, 1417496400, 1417496400, 1417496400, 1417582800, 1417582800,
1417582800, 1417582800, 1417582800, 1417582800, 1417582800, 1417669200,
1417669200, 1417669200, 1417669200, 1417669200, 1417669200, 1417669200,
1417755600, 1417755600, 1417755600, 1417755600, 1417755600, 1417755600,
1417842000, 1417842000, 1417842000, 1417842000, 1417842000, 1417842000,
1417842000, 1417928400, 1417928400, 1417928400, 1417928400, 1417928400,
1417928400, 1417928400, 1418014800, 1418014800, 1418014800, 1418014800,
1418014800, 1418014800, 1418014800, 1418101200, 1418101200, 1418101200,
1418101200, 1418101200, 1418101200, 1418101200, 1418187600, 1418187600,
1418187600, 1418187600, 1418187600, 1418187600, 1418187600, 1418274000,
1418274000, 1418274000, 1418274000, 1418274000, 1418274000, 1418274000,
1418360400, 1418360400, 1418360400, 1418360400, 1418360400, 1418360400,
1418360400, 1418446800, 1418446800, 1418446800, 1418446800, 1418446800,
1418446800, 1418446800, 1418533200, 1418533200, 1418533200, 1418533200,
1418533200, 1418533200, 1418533200, 1418619600, 1418619600, 1418619600,
1418619600, 1418619600, 1418619600, 1418619600, 1418706000, 1418706000,
1418706000, 1418706000, 1418706000, 1418706000, 1418706000, 1418792400,
1418792400, 1418792400, 1418792400, 1418792400, 1418792400, 1418792400,
1418878800, 1418878800, 1418878800, 1418878800, 1418878800, 1418878800,
1418878800, 1418965200, 1418965200, 1418965200, 1418965200, 1418965200,
1418965200, 1418965200, 1419051600, 1419051600, 1419051600, 1419051600,
1419051600, 1419051600, 1419051600, 1419138000, 1419138000, 1419138000,
1419138000, 1419138000, 1419138000, 1419224400, 1419224400, 1419224400,
1419224400, 1419224400, 1419224400, 1419224400, 1419310800, 1419310800,
1419310800, 1419310800, 1419310800, 1419310800, 1419397200, 1419397200,
1419397200, 1419397200, 1419397200, 1419397200, 1419397200, 1419483600,
1419483600, 1419483600, 1419483600, 1419483600, 1419483600, 1419483600,
1419570000, 1419570000, 1419570000, 1419570000, 1419570000, 1419570000,
1419656400, 1419656400, 1419656400, 1419656400, 1419656400, 1419656400,
1419742800, 1419742800, 1419742800, 1419742800, 1419742800, 1419742800,
1419742800, 1419829200, 1419829200, 1419829200, 1419829200, 1419829200,
1419829200, 1419915600, 1419915600, 1419915600, 1419915600, 1419915600,
1419915600, 1419915600, 1420002000, 1420002000, 1420002000, 1420002000,
1420002000), class = c("POSIXct", "POSIXt"), tzone = "America/Lima"),
Fuentes = c("Adwords", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Campañas",
"Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Campañas",
"Directo", "Email", "Referencias", "SEO", "Social Media",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Directo",
"Email", "Referencias", "SEO", "Social Media"), sessions = c(10L,
326L, 18L, 527L, 999L, 52L, 3L, 7L, 324L, 19L, 498L, 933L,
44L, 5L, 12L, 363L, 15L, 546L, 1206L, 202L, 7L, 12L, 1122L,
27L, 1249L, 5168L, 607L, 17L, 432L, 22L, 527L, 1553L, 637L,
5L, 5L, 356L, 16L, 507L, 1901L, 487L, 4L, 8L, 312L, 30L,
500L, 1622L, 370L, 3L, 11L, 341L, 18L, 504L, 1312L, 352L,
2L, 13L, 1188L, 33L, 682L, 2008L, 1508L, 3L, 15L, 1086L,
36L, 646L, 2124L, 380L, 3L, 11L, 355L, 17L, 383L, 1054L,
236L, 2L, 9L, 321L, 15L, 370L, 1118L, 245L, 7L, 9L, 259L,
13L, 332L, 1261L, 230L, 3L, 7L, 539L, 9L, 626L, 2336L, 256L,
1L, 12L, 292L, 8L, 386L, 1070L, 220L, 1L, 12L, 278L, 9L,
393L, 1129L, 22L, 1L, 16L, 521L, 18L, 665L, 2400L, 20L, 1L,
13L, 204L, 7L, 258L, 789L, 11L, 2L, 12L, 253L, 6L, 277L,
803L, 9L, 1L, 4L, 262L, 8L, 324L, 960L, 9L, 3L, 442L, 15L,
516L, 1890L, 16L, 2L, 14L, 249L, 8L, 240L, 688L, 11L, 15L,
182L, 7L, 200L, 548L, 5L, 2L, 3L, 171L, 7L, 183L, 480L, 5L,
1L, 3L, 176L, 5L, 231L, 506L, 6L, 15L, 283L, 18L, 322L, 786L,
11L, 13L, 210L, 9L, 232L, 649L, 2L, 1L, 2L, 258L, 4L, 306L,
891L, 9L, 4L, 183L, 10L, 293L, 634L, 4L, 1L, 3L, 188L, 9L,
244L, 566L, 11L, 134L, 1L, 176L, 453L, 4L)), .Names = c("date",
"Fuentes", "sessions"), row.names = c(NA, -208L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = list(date), drop = TRUE))
If your output is a Shiny application or Shiny document, you can change the background color with some css. Note that this will only work correctly when the ggvis is displayed as svg (not canvas). Also note that it will not display correctly in the Rstudio viewer. Add this somewhere in the document before the ggvis is created:
<style type="text/css">
rect.background {
fill: #E6E6E6 !important;
}
</style>
Then to get white gridlines and to remove the bar borders, your code should look like this
Visitas_Por_Fuente %>%
ggvis(~Fuentes, ~sessions) %>%
layer_bars(width = 0.8, fill = ~Fuentes, strokeWidth := 0) %>%
add_axis("x", properties = axis_props(grid = list(stroke = "white"))) %>%
add_axis("y", properties = axis_props(grid = list(stroke = "white")))
Edit: Here's a minimal .Rmd document showing what to do. Open this in Rstudio and click "Run document" to see the results.
---
title: "Untitled"
output: html_document
runtime: shiny
---
<style type="text/css">
rect.background {
fill: #E6E6E6 !important;
}
</style>
```{r, echo=FALSE}
library(ggvis)
mtcars %>%
ggvis(~cyl, ~mpg) %>%
layer_bars(width = 0.8, fill:= "slateblue", strokeWidth := 0) %>%
add_axis("x", properties = axis_props(grid = list(stroke = "white"))) %>%
add_axis("y", properties = axis_props(grid = list(stroke = "white")))
```
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With