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adding vignette, close #18, add hc_series (api complete)
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Original file line number | Diff line number | Diff line change |
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--- | ||
title: "Replicating Highcharts Demos" | ||
author: "Joshua Kunst" | ||
output: rmarkdown::html_vignette | ||
vignette: > | ||
%\VignetteIndexEntry{Vignette Title} | ||
%\VignetteEngine{knitr::rmarkdown} | ||
%\VignetteEncoding{UTF-8} | ||
--- | ||
|
||
Let's repliate the [line-lables](http://www.highcharts.com/demo/line-labels) demo. If you click | ||
*View Options* button you'll see the code to create that chart in a html file via javascript. Let's | ||
take a look to the options which are: | ||
|
||
``` | ||
{ | ||
chart: { | ||
type: 'line' | ||
}, | ||
title: { | ||
text: 'Monthly Average Temperature' | ||
}, | ||
subtitle: { | ||
text: 'Source: WorldClimate.com' | ||
}, | ||
xAxis: { | ||
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'] | ||
}, | ||
yAxis: { | ||
title: { | ||
text: 'Temperature (C)' | ||
} | ||
}, | ||
plotOptions: { | ||
line: { | ||
dataLabels: { | ||
enabled: true | ||
}, | ||
enableMouseTracking: false | ||
} | ||
}, | ||
series: [{ | ||
name: 'Tokyo', | ||
data: [7.0, 6.9, 9.5, 14.5, 18.4, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6] | ||
}, { | ||
name: 'London', | ||
data: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8] | ||
}] | ||
} | ||
``` | ||
|
||
The previous code is a javascript object. It's like a dictionary, or if we want we can say is like a named | ||
list. `highcharter` have the implementation of each option in highcharts like `chart`, `title`, etc. With | ||
each of them you can add the requiered parameters to get the chart what you want. First of all we need | ||
to create the `highchart` object and then add very option what we want. | ||
|
||
```{r} | ||
library("highcharter") | ||
highchart() %>% | ||
hc_chart(type = "line") %>% | ||
hc_title(text = "Monthly Average Temperature") %>% | ||
hc_subtitle(text = "Source: WorldClimate.com") %>% | ||
hc_xAxis(categories = c('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', | ||
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec')) %>% | ||
hc_yAxis(title = list(text = "Temperature (C)")) %>% | ||
hc_plotOptions(line = list( | ||
dataLabels = list(enabled = TRUE), | ||
enableMouseTracking = FALSE) | ||
) %>% | ||
hc_series( | ||
list( | ||
name = "Tokyo", | ||
data = c(7.0, 6.9, 9.5, 14.5, 18.4, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6) | ||
), | ||
list( | ||
name = "London", | ||
data = c(3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8) | ||
) | ||
) | ||
``` | ||
|
||
Now, let's try other example: [area stacked percent](http://www.highcharts.com/demo/area-stacked-percent). The | ||
options used are: | ||
|
||
``` | ||
{ | ||
chart: { | ||
type: 'area' | ||
}, | ||
title: { | ||
text: 'Historic and Estimated Worldwide Population Distribution by Region' | ||
}, | ||
subtitle: { | ||
text: 'Source: Wikipedia.org' | ||
}, | ||
xAxis: { | ||
categories: ['1750', '1800', '1850', '1900', '1950', '1999', '2050'], | ||
tickmarkPlacement: 'on', | ||
title: { | ||
enabled: false | ||
} | ||
}, | ||
yAxis: { | ||
title: { | ||
text: 'Percent' | ||
} | ||
}, | ||
tooltip: { | ||
pointFormat: '<span style="color:{series.color}">{series.name}</span>: | ||
<b>{point.percentage:.1f}%</b> ({point.y:,.0f} millions)<br/>', | ||
shared: true | ||
}, | ||
plotOptions: { | ||
area: { | ||
stacking: 'percent', | ||
lineColor: '#ffffff', | ||
lineWidth: 1, | ||
marker: { | ||
lineWidth: 1, | ||
lineColor: '#ffffff' | ||
} | ||
} | ||
}, | ||
series: [{ | ||
name: 'Asia', | ||
data: [502, 635, 809, 947, 1402, 3634, 5268] | ||
}, { | ||
name: 'Africa', | ||
data: [106, 107, 111, 133, 221, 767, 1766] | ||
}, { | ||
name: 'Europe', | ||
data: [163, 203, 276, 408, 547, 729, 628] | ||
}, { | ||
name: 'America', | ||
data: [18, 31, 54, 156, 339, 818, 1201] | ||
}, { | ||
name: 'Oceania', | ||
data: [2, 2, 2, 6, 13, 30, 46] | ||
}] | ||
} | ||
``` | ||
|
||
In this example we'll use the `hc_add_series()` to add every series one by one. | ||
|
||
```{r} | ||
hc <- highchart() %>% | ||
hc_chart(type = "area") %>% | ||
hc_title(text = "Historic and Estimated Worldwide Population Distribution by Region") %>% | ||
hc_subtitle(text = "Source: Wikipedia.org") %>% | ||
hc_xAxis(categories = c('1750', '1800', '1850', '1900', '1950', '1999', '2050'), | ||
tickmarkPlacement = 'on', | ||
title = list(enabled = FALSE)) %>% | ||
hc_yAxis(title = list(text = "Percent")) %>% | ||
hc_tooltip(pointFormat = '<span style="color:{series.color}">{series.name}</span>: | ||
<b>{point.percentage:.1f}%</b> ({point.y:,.0f} millions)<br/>', | ||
shared = TRUE) %>% | ||
hc_plotOptions(area = list( | ||
stacking = "percent", | ||
lineColor = "#ffffff", | ||
lineWidth = 1, | ||
marker = list( | ||
lineWidth = 1, | ||
lineColor = "#ffffff" | ||
)) | ||
) %>% | ||
hc_add_series(name = "Asia", data = c(502, 635, 809, 947, 1402, 3634, 5268)) %>% | ||
hc_add_series(name = "Africa", data = c(106, 107, 111, 133, 221, 767, 1766)) %>% | ||
hc_add_series(name = "Europe", data = c(163, 203, 276, 408, 547, 729, 628)) %>% | ||
hc_add_series(name = "America", data = c(18, 31, 54, 156, 339, 818, 1201)) %>% | ||
hc_add_series(name = "Oceania", data = c(2, 2, 2, 6, 13, 30, 46)) | ||
hc | ||
``` | ||
|
||
If you dont get what you hope to get you must check if you passed all the arguments correctly. | ||
You can compare the javascript object with: | ||
|
||
```{r} | ||
library("jsonlite") | ||
toJSON(hc$x$hc_opts, pretty = TRUE, auto_unbox = TRUE) | ||
``` | ||
|