149 lines
3.4 KiB
Markdown
149 lines
3.4 KiB
Markdown
# apexcharter
|
|
|
|
> Htmlwidget for [apexcharts.js](https://github.com/apexcharts/apexcharts.js) : A modern JavaScript charting library to build interactive charts and visualizations with simple API. See the [online demo](https://dreamrs.github.io/apexcharter/) for examples.
|
|
|
|
<!-- badges: start -->
|
|
[](https://CRAN.R-project.org/package=apexcharter)
|
|
[](https://cranchecks.info/pkgs/apexcharter)
|
|
[](https://www.tidyverse.org/lifecycle/#maturing)
|
|
[](https://github.com/dreamRs/apexcharter/actions)
|
|
[](https://codecov.io/gh/dreamRs/apexcharter?branch=master)
|
|
<!-- badges: end -->
|
|
|
|
|
|
:warning: Use RStudio >= 1.2 to properly display charts
|
|
|
|
|
|
|
|
## Installation
|
|
|
|
Install from CRAN with:
|
|
|
|
```r
|
|
install.packages("apexcharter")
|
|
```
|
|
|
|
Or install the development version from [GitHub](https://github.com/) with:
|
|
|
|
``` r
|
|
# install.packages("devtools")
|
|
devtools::install_github("dreamRs/apexcharter")
|
|
```
|
|
|
|
|
|
|
|
## Quick Charts
|
|
|
|
Use `apex` function to quickly create visualizations :
|
|
|
|
|
|
```r
|
|
library(apexcharter)
|
|
|
|
data("mpg", package = "ggplot2")
|
|
n_manufac <- dplyr::count(mpg, manufacturer)
|
|
|
|
apex(data = n_manufac, type = "bar", mapping = aes(x = manufacturer, y = n))
|
|
```
|
|
|
|
|
|
|
|
With datetime:
|
|
|
|
```r
|
|
data("economics", package = "ggplot2")
|
|
apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
|
|
ax_stroke(width = 1)
|
|
```
|
|
|
|
|
|
|
|
## Full API
|
|
|
|
All methods from ApexCharts are available with function like `ax_*` compatible with pipe from `magrittr` :
|
|
|
|
```r
|
|
library(apexcharter)
|
|
data(mpg, package = "ggplot2")
|
|
n_manufac <- dplyr::count(mpg, manufacturer)
|
|
|
|
apexchart() %>%
|
|
ax_chart(type = "bar") %>%
|
|
ax_plotOptions(bar = bar_opts(
|
|
horizontal = FALSE,
|
|
endingShape = "flat",
|
|
columnWidth = "70%",
|
|
dataLabels = list(
|
|
position = "top"
|
|
))
|
|
) %>%
|
|
ax_grid(
|
|
show = TRUE,
|
|
position = "front",
|
|
borderColor = "#FFF"
|
|
) %>%
|
|
ax_series(list(
|
|
name = "Count",
|
|
data = n_manufac$n
|
|
)) %>%
|
|
ax_colors("#112446") %>%
|
|
ax_xaxis(categories = n_manufac$manufacturer) %>%
|
|
ax_title(text = "Number of models") %>%
|
|
ax_subtitle(text = "Data from ggplot2")
|
|
```
|
|
|
|
|
|
|
|
|
|
## Raw API
|
|
|
|
Pass a list of parameters to the function:
|
|
|
|
```r
|
|
apexchart(ax_opts = list(
|
|
chart = list(
|
|
type = "line"
|
|
),
|
|
stroke = list(
|
|
curve = "smooth"
|
|
),
|
|
grid = list(
|
|
borderColor = "#e7e7e7",
|
|
row = list(
|
|
colors = c("#f3f3f3", "transparent"),
|
|
opacity = 0.5
|
|
)
|
|
),
|
|
dataLabels = list(
|
|
enabled = TRUE
|
|
),
|
|
markers = list(style = "inverted", size = 6),
|
|
series = list(
|
|
list(
|
|
name = "High",
|
|
data = c(28, 29, 33, 36, 32, 32, 33)
|
|
),
|
|
list(
|
|
name = "Low",
|
|
data = c(12, 11, 14, 18, 17, 13, 13)
|
|
)
|
|
),
|
|
title = list(
|
|
text = "Average High & Low Temperature",
|
|
align = "left"
|
|
),
|
|
xaxis = list(
|
|
categories = month.abb[1:7]
|
|
),
|
|
yaxis = list(
|
|
title = list(text = "Temperature"),
|
|
labels = list(
|
|
formatter = htmlwidgets::JS("function(value) {return value + '\u00b0C';}")
|
|
)
|
|
)
|
|
))
|
|
```
|
|
|
|
|
|
|