From 2ca595200be51e006b4b998376b47a5dcb867c39 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Tue, 17 Apr 2018 21:53:08 +1000 Subject: [PATCH] completed addition of y2 axis documentation. also modified rmd to output github md format. 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-library(webshot) - -# thanks to https://rud.is/b/2016/03/04/capturing-wild-widgets-with-webshot/ -capture_widget <- function(wdgt, - output=c("path", "markdown", "html", "inline"), - height, width, - png_render_path=tempfile(tmpdir = 'img', fileext=".png")) { - - wdgt_html_tf <- tempfile(fileext=".html") - - htmlwidgets::saveWidget(wdgt, wdgt_html_tf) - - webshot::webshot(url=sprintf("file://%s", wdgt_html_tf), - selector="#htmlwidget_container", - file=png_render_path, - vwidth=width, vheight=height, - delay = 2, - zoom = 2) - - # done with HTML - unlink(wdgt_html_tf) - - switch(match.arg(output, c("path", "markdown", "html", "inline")), - `path`=png_render_path, - `markdown`=sprintf("![widget](%s)", png_render_path), - `html`=sprintf("", png_render_path), - `inline`=base64::img(png_render_path)) - -} -``` + The `c3` package is a wrapper, or [htmlwidget](http://www.htmlwidgets.org/), for the [c3](http://c3js.org/) javascript charting library by [Masayuki Tanaka](https://github.com/masayuki0812). You will find this package useful if you are wanting create a chart using [R](https://www.r-project.org/) for embedding in a Rmarkdown document or Shiny App. @@ -75,19 +44,7 @@ The `c3` package is intended to be as simple and lightweight as possible. As a s Where no options are supplied a simple line plot is produced by default. Where no x-axis is defined the plots are sequential. `Date` x-axis can be parsed with not additional setting if in the format `%Y-%m-%d` (ie '2014-01-01') -```{r data, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} - -library(c3) - -data = data.frame(a = abs(rnorm(20) * 10), - b = abs(rnorm(20) * 10), - date = seq(as.Date("2014-01-01"), by = "month", length.out = 20)) - -simple.plot <- c3(data) - -``` - -```{r data.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} +```{r data, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} library(c3) @@ -95,26 +52,7 @@ data = data.frame(a = abs(rnorm(20) * 10), b = abs(rnorm(20) * 10), date = seq(as.Date("2014-01-01"), by = "month", length.out = 20)) -cat( - capture_widget(c3(data, width = 800, height = 300), - 'markdown', height=400, width=1100) -) - -``` - - -```{r date, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} - -simple.plot.date <- c3(data, x = 'date') - -``` - -```{r date.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -cat( - capture_widget(c3(data, x = 'date', width = 800, height = 300), - 'markdown', height=400, width=1100) -) +c3(data) ``` @@ -124,19 +62,9 @@ cat( The package also imports the [migrittr](https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html) piping function (`%>%`) to simplify syntax. -```{r pipe, eval = FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r pipe, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} -piped.plot <- data %>% c3() - -``` - - -```{r pipe.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -cat( - capture_widget(c3(data, width = 800, height = 300), - 'markdown', height=400, width=1100) -) +data %>% c3() ``` @@ -154,7 +82,7 @@ There are 5 different line plots available: #### Spline -```{r spline, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r spline, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3() %>% @@ -163,23 +91,10 @@ data %>% ``` -```{r spline.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -spline.plot <- data %>% - c3(width = 800, height = 300) %>% - c3_line('spline') - -cat( - capture_widget(spline.plot, - 'markdown', height=400, width=1100) -) - -``` - #### Step -```{r step, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r step, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3(x = 'date') %>% @@ -188,23 +103,10 @@ data %>% ``` -```{r step.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -step.plot <- data %>% - c3(x = 'date', width = 800, height = 300) %>% - c3_line('area-step') - -cat( - capture_widget(step.plot, - 'markdown', height=400, width=1100) -) - -``` - ## Bar Plots -```{r bar, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r bar, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data[1:10, ] %>% c3() %>% @@ -215,25 +117,12 @@ data[1:10, ] %>% ``` -```{r bar.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -bar.plot <- data[1:10, ] %>% - c3(width = 800, height = 300) %>% - c3_bar(stacked = TRUE, rotate = TRUE) - -cat( - capture_widget(bar.plot, - 'markdown', height=400, width=1100) -) - -``` - ## Mixed Geometry Plots Mixed geometry currently only works with a horizontal `data.frame` where each numeric column is plotted. -```{r mixed, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r mixed, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data$c = abs(rnorm(20) *10) data$d = abs(rnorm(20) *10) @@ -243,29 +132,11 @@ data %>% c3_mixedGeom(type = 'bar', stacked = c('b','d'), types = list(a='area', - c='spline')) - + c='spline') + ) ``` -```{r mixed.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -data$c = abs(rnorm(20) *10) -data$d = abs(rnorm(20) *10) - -mixed.plot <- data %>% - c3(width = 800, height = 300) %>% - c3_mixedGeom(type = 'bar', - stacked = c('b','d'), - types = list(a='area', - c='spline')) - -cat( - capture_widget(mixed.plot, - 'markdown', height=400, width=1100) -) - -``` ## Secondary Y Axis @@ -319,7 +190,7 @@ data.frame(sugar = 20, ## Donut Charts -```{r donut, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r donut, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} data.frame(red = 82, green = 33, blue = 93) %>% c3(colors = list(red = 'red', @@ -327,54 +198,25 @@ data.frame(red = 82, green = 33, blue = 93) %>% blue = 'blue')) %>% c3_donut(title = '#d053ee') - ``` -```{r donut.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis', fig.align='center'} - -donut.chart <- data.frame(red=82,green=33,blue=93) %>% - c3(colors=list(red='red',green='green',blue='blue'), width = 500, height = 300) %>% - c3_donut(title = '#d053ee') - -cat( - capture_widget(donut.chart, - 'markdown', height=400, width=1100) -) - -``` - ## Gauge Charts -```{r gauge, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r gauge, warning=FALSE, message=FALSE, fig.align='center', fig.width=6, fig.height=3} data.frame(data = 80) %>% c3() %>% c3_gauge() - -``` - - -```{r gauge.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -gauge.chart <- data.frame(data = 80) %>% - c3(width = 500, height = 300) %>% - c3_gauge() - -cat( - capture_widget(gauge.chart, - 'markdown', height=400, width=1100) -) - ``` -## Grid Lines +## Grid Lines & Annotation -```{r grid, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r grid, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3() %>% @@ -384,31 +226,15 @@ data %>% lines = data.frame(value = c(3, 10), text= c('Line 1','Line 2'))) - ``` -```{r grid.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -grid.plot <- data %>% - c3(width = 800, height = 300) %>% - grid('y') %>% - grid('x', show=F, lines = data.frame(value=c(3,10), - text= c('Line 1','Line 2'))) - -cat( - capture_widget(grid.plot, - 'markdown', height=400, width=1100) -) - -``` - ## Region Highlighting To highlight regions pass a single `data.frame` with columns `axis`, `start`, `end` and `class`. Multiple regions can be defined within the one `data.frame` for any axis (`x`, `y`, `y2`). Each row in the `data.frame` defines a separate region to be highlighted -```{r region, eval = FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r region, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3() %>% @@ -419,27 +245,12 @@ data %>% ``` -```{r region.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -region.plot <- data %>% - c3(width = 800, height = 300) %>% - region(data.frame(axis = 'x', - start = 5, - end = 6)) - -cat( - capture_widget(region.plot, - 'markdown', height=400, width=1100) -) - -``` - ## Sub-chart -```{r subchart, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r subchart, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3(x = 'date') %>% @@ -448,26 +259,13 @@ data %>% ``` -```{r subchart.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -subchart.plot <- data %>% - c3(x = 'date', width = 800, height = 300) %>% - subchart() - -cat( - capture_widget(subchart.plot, - 'markdown', height=400, width=1100) -) - -``` - ## Color Palette Plot color palettes can be changed to either `RColorBrewer` or `viridis` palettes using either `RColorBrewer` (S3 method) or `c3_viridus`. -```{r brewer, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r brewer, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} data.frame(sugar = 20, fat = 45, @@ -480,22 +278,10 @@ data.frame(sugar = 20, ``` -```{r brewer.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -pie.RColorBrewer <- data.frame(sugar = 20, fat = 45, salt = 10, vegetables = 60) %>% - c3() %>% - c3_pie() %>% - RColorBrewer() -cat( - capture_widget(pie.RColorBrewer, - 'markdown', height=400, width=1100) -) -``` - -```{r viridis, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r viridis, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} data.frame(sugar = 20, fat = 45, @@ -505,22 +291,6 @@ data.frame(sugar = 20, c3_pie() %>% c3_viridis() - -``` - - -```{r viridis.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -pie.viridis <- data.frame(sugar = 20, fat = 45, salt = 10, vegetables = 60) %>% - c3() %>% - c3_pie() %>% - c3_viridis() - -cat( - capture_widget(pie.viridis, - 'markdown', height=400, width=1100) -) - ``` @@ -528,7 +298,7 @@ cat( ## Point Size -```{r point, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r point, warning=FALSE, message=FALSE, fig.align='center', fig.width=8, fig.height=3} data %>% c3(x = 'date') %>% @@ -538,25 +308,12 @@ data %>% ``` -```{r point.webshot, echo=FALSE, warning=FALSE, message=FALSE, comment=NA, results='asis'} - -point.plot <- data %>% - c3(x = 'date', width = 800, height = 300) %>% - point_options(r = 6, expand.r = 2) - -cat( - capture_widget(point.plot, - 'markdown', height=400, width=1100) -) - -``` - ## On Click Onclick, onmouseover and onmouseout are all available via the `c3` function. To use wrap a js function as a character string to `htmlwidgets::JS()`. Please see the [c3.js documentation](http://c3js.org/reference.html#data-onclick) and [examples](http://c3js.org/samples/chart_pie.html). The example below should be enough to get you started. -```{r onclick, eval=FALSE, warning=FALSE, message=FALSE, fig.align='center', fig.width=4, fig.height=3} +```{r onclick, eval=FALSE} data %>% c3(onclick = htmlwidgets::JS('function(d, element){console.log(d)}')) diff --git a/README.html b/README.html deleted file mode 100644 index e565b93..0000000 --- a/README.html +++ /dev/null @@ -1,375 +0,0 @@ - - - - - - - - - - - - - -c3 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - -

The c3 package is a wrapper, or htmlwidget, for the c3 javascript charting library by Masayuki Tanaka. You will find this package useful if you are wanting create a chart using R for embedding in a Rmarkdown document or Shiny App.

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The c3 library is very versatile and includes a lot of options. Currently this package wraps most of the options object. Even with this current limitation a wide range of options are available.

-
-

Warning

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This package is under active development and will definitely change. All attempts will be made to maintain the functionality and methods demonstrated in this document. Documentation is currently a work in progress.

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Any suggestions, advice or requests are welcome. For any bugs (there will be bugs) please submit an issue.

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-
-

Installation

-

You probably already guessed this bit.

-
devtools::install_github("mrjoh3/c3")
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-
-

Usage

-

Please note that this package is under active development and may change at any time. The plots that currently work are line (and varieties), bar and scatter plots. Where possible the package tries to emulate the Grammer of Graphics used in Hadley Wickham’s ggplot2.

-

The c3 package is intended to be as simple and lightweight as possible. As a starting point the data input must be a data.frame with several options.

-
    -
  • If a data.frame without any options is passed all of the numeric columns will be plotted. This can be used in line and bar plots. Each column is a line or bar.
  • -
  • For more complex plots only 3 columns are used, those defined as x, y and group. This requires a data.frame with a vertical structure.
  • -
-
-

The Basics

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Where no options are supplied a simple line plot is produced by default. Where no x-axis is defined the plots are sequential. Date x-axis can be parsed with not additional setting if in the format %Y-%m-%d (ie ‘2014-01-01’)

-
library(c3)
-
-data = data.frame(a = abs(rnorm(20) * 10),
-                  b = abs(rnorm(20) * 10),
-                  date = seq(as.Date("2014-01-01"), by = "month", length.out = 20))
-
-simple.plot <- c3(data)
-
-widget -

widget

-
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simple.plot.date <- c3(data, x = 'date')
-
-widget -

widget

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Piping

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The package also imports the migrittr piping function (%>%) to simplify syntax.

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piped.plot <- data %>%
-                c3() 
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-widget -

widget

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Other Line Plots

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There are 5 different line plots available:

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    -
  • line
  • -
  • spline
  • -
  • step
  • -
  • area
  • -
  • area-step
  • -
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-

Spline

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spline.plot <- data %>%
-  c3() %>%
-  c3_line('spline')
-
-widget -

widget

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Step

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step.plot <- data %>%
-  c3(x = 'date') %>%
-  c3_line('area-step')
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-widget -

widget

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Bar Plots

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bar.plot <- data[1:10, ] %>%
-  c3() %>%
-  c3_bar(stacked = TRUE, rotate = TRUE)
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-widget -

widget

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-
-
-

Mixed Geometry Plots

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Mixed geometry currently only works with a horizontal data.frame where each numeric column is plotted.

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data$c = abs(rnorm(20) *10)
-data$d = abs(rnorm(20) *10)
-
-mixed.plot <- data %>%
-  c3() %>%
-  c3_mixedGeom(type = 'bar',
-               stacked = c('b','d'),
-               types = list(a='area',
-                            c='spline'))
-
-widget -

widget

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-
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Scatter Plot

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scatter.plot <- iris %>%
-  c3(x='Sepal_Length', y='Sepal_Width', group = 'Species') %>% 
-  c3_scatter()
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-widget -

widget

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Pie Charts

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pie.chart <- data.frame(sugar=20,fat=45,salt=10) %>% 
-  c3() %>% 
-  c3_pie()
-
-widget -

widget

-
-
-
-

Donut Charts

-
donut.chart <- data.frame(red=82,green=33,blue=93) %>% 
-  c3(colors=list(red='red',green='green',blue='blue')) %>% 
-  c3_donut(title = '#d053ee')
-
-widget -

widget

-
-
-
-

Gauge Charts

-
gauge.chart <- data.frame(data = 80) %>% 
-  c3() %>% 
-  c3_gauge()
-
-widget -

widget

-
-
-
-

Grid Lines

-
grid.plot <- data %>%
-  c3() %>%
-  grid('y') %>%
-  grid('x', show=F, lines = data.frame(value=c(3,10), 
-                                       text= c('Line 1','Line 2')))
-
-widget -

widget

-
-
-
-

Region Highlighting

-

To highlight regions pass a single data.frame with columns axis, start, end and class. Multiple regions can be defined within the one data.frame for any axis (x, y, y2). Each row in the data.frame defines a separate region to be highlighted

-
region.plot <- data %>%
-  c3() %>%
-  region(data.frame(axis = 'x',
-                    start = 5,
-                    end = 6))
-
-widget -

widget

-
-
-
-

Sub-chart

-
subchart.plot <- data %>%
-  c3(x = 'date') %>%
-  subchart()
-
-widget -

widget

-
-
-
-

Color Palette

-

Plot color palettes can be changed to either RColorBrewer or viridis palettes using either RColorBrewer (S3 method) or c3_viridus.

-
pie.RColorBrewer <- data.frame(sugar = 20, fat = 45, salt = 10, vegetables = 60) %>% 
-  c3() %>% 
-  c3_pie() %>%
-  RColorBrewer()
-
-widget -

widget

-
-
pie.viridis <- data.frame(sugar = 20, fat = 45, salt = 10, vegetables = 60) %>% 
-  c3() %>% 
-  c3_pie() %>%
-  c3_viridis()
-
-widget -

widget

-
-
-
-

Point Size

-
point.plot <- data %>%
-  c3(x = 'date') %>%
-  point_options(r = 6, expand.r = 2)
-
-widget -

widget

-
-
-
-

On Click

-

Onclick, onmouseover and onmouseout are all available via the c3 function. To use wrap a js function as a character string to htmlwidgets::JS(). Please see the c3.js documentation and examples. The example below should be enough to get you started.

-
onclick.plot <- data %>% 
-    c3(onclick = htmlwidgets::JS('function(d, element){console.log(d)}'))
-
- - - - -
- - - - - - - - diff --git a/README.md b/README.md index ffb2f73..31d359e 100644 --- a/README.md +++ b/README.md @@ -42,26 +42,20 @@ data = data.frame(a = abs(rnorm(20) * 10), b = abs(rnorm(20) * 10), date = seq(as.Date("2014-01-01"), by = "month", length.out = 20)) -simple.plot <- c3(data) +c3(data) ``` -![widget](img/file3d5457deae50.png) - -``` r -simple.plot.date <- c3(data, x = 'date') -``` - -![widget](img/file3d542f044913.png) + ### Piping The package also imports the [migrittr](https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html) piping function (`%>%`) to simplify syntax. ``` r -piped.plot <- data %>% c3() +data %>% c3() ``` -![widget](img/file3d5439680514.png) + Other Line Plots ---------------- @@ -82,7 +76,7 @@ data %>% c3_line('spline') ``` -![widget](img/file3d545a7cc6ff.png) + #### Step @@ -92,7 +86,7 @@ data %>% c3_line('area-step') ``` -![widget](img/file3d5430426550.png) + Bar Plots --------- @@ -104,7 +98,7 @@ data[1:10, ] %>% rotate = TRUE) ``` -![widget](img/file3d5419505b30.png) + Mixed Geometry Plots -------------------- @@ -120,10 +114,11 @@ data %>% c3_mixedGeom(type = 'bar', stacked = c('b','d'), types = list(a='area', - c='spline')) + c='spline') + ) ``` -![widget](img/file3d54162a7b04.png) + Secondary Y Axis ---------------- @@ -154,6 +149,8 @@ iris %>% c3_scatter() ``` + + Pie Charts ---------- @@ -165,6 +162,8 @@ data.frame(sugar = 20, c3_pie() ``` + + Donut Charts ------------ @@ -176,7 +175,7 @@ data.frame(red = 82, green = 33, blue = 93) %>% c3_donut(title = '#d053ee') ``` -![widget](img/file3d545476f3b3.png) + Gauge Charts ------------ @@ -187,10 +186,10 @@ data.frame(data = 80) %>% c3_gauge() ``` -![widget](img/file3d5475c41a58.png) + -Grid Lines ----------- +Grid Lines & Annotation +----------------------- ``` r data %>% @@ -202,7 +201,7 @@ data %>% text= c('Line 1','Line 2'))) ``` -![widget](img/file3d541b078a1c.png) + Region Highlighting ------------------- @@ -217,7 +216,7 @@ data %>% end = 6)) ``` -![widget](img/file3d544e1c68b3.png) + Sub-chart --------- @@ -228,7 +227,7 @@ data %>% subchart() ``` -![widget](img/file3d5470c0f5b.png) + Color Palette ------------- @@ -245,7 +244,7 @@ data.frame(sugar = 20, RColorBrewer() ``` -![widget](img/file3d54509681f2.png) + ``` r data.frame(sugar = 20, @@ -257,7 +256,7 @@ data.frame(sugar = 20, c3_viridis() ``` -![widget](img/file3d541085f28.png) + Point Size ---------- @@ -271,8 +270,6 @@ data %>% -![widget](img/file3d544678c908.png) - On Click -------- diff --git a/README_files/figure-markdown_github/bar-1.png b/README_files/figure-markdown_github/bar-1.png new file mode 100644 index 0000000000000000000000000000000000000000..ac82fdcb54a7f8f3e717b9ef55364013021c16fc GIT binary patch literal 7092 zcmeHLc{r4N-@jGos7~cf)(Ufu7RumAwyfvLB&iT8gd$P4kT90fX~S45p=4_$vdyte zm{VD^j_hmJnNXIo8#B-MrgM7U_r2chJ=gX8`96Pi>E7o4-QVx$`&oX0`lqzFZr-^W zL6EIF$Fxo($a;MQ;kvf*dpMIX5iJdWHeEYr;)WnU@S^{?kmwj81le_2N9$K3&zR3W 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