环图

一.安装方式：

if (!require(devtools)) library(devtools)

install_github("madlogos/recharts")

二.使用方法：

1.散点图/气泡图

echartr(iris, x=SepalWidth, y=PetalWidth)

多个维度：series控制

echartr(iris, x=SepalWidth, y=PetalWidth, series=Species)

气泡图：type:标签控制

> echartr(iris, SepalWidth, PetalWidth,series = Species, weight=PetalLength, type='bubble')

sandian.png

ECharts.png

ECharts(1).png

2.管道操作

echartr(iris, SepalWidth, PetalWidth, weight=PetalLength) %>%

setDataRange(calculable=TRUE, splitNumber=0, labels=c('Big','Small'),

color=c('red', 'yellow', 'green'), valueRange=c(0, 2.5))

ECharts(2).png

3.折线图

先改造下内置数据集：

aq

aq$Date

aq$Day

aq$Month

echartr(aq, Date, Temp, type='line') %>%

setTitle('NY Temperature May - Sep 1973') %>% setSymbols('none')

含有分类属性：

echartr(aq, Day, Temp, Month, type='line') %>%

setTitle('NY Temperature May - Sep 1973, by Month') %>%

setSymbols('emptycircle')

带有时间轴(带有动态效果哦~~~)：

echartr(aq, Day, Temp, t=Month, type='line') %>%

setTitle('NY Temperature May - Sep 1973, by Month') %>%

setSymbols('emptycircle')

也可画面积图：type属性控制

echartr(aq, Day, Temp, Month, type='area', subtype='stack') %>%

setTitle('NY Temperature May - Sep 1973, by Month') %>%

setSymbols('emptycircle')

NY Temperature May - Sep 1973.png

NY Temperature May - Sep 1973, by Month.png

NY Temperature May - Sep 1973, by Month (Month_ Jul).png

NY Temperature May - Sep 1973, by Month(1).png

4.饼图

重构内置数据集

titanic

names(titanic)

knitr::kable(titanic)

画饼图，可以和漏斗图切换

echartr(titanic, Class, Count, type='pie') %>%

setTitle('Titanic: N by Cabin Class')

多个饼图：

echartr(titanic, Survived, Count, facet=Class, type='pie') %>%

setTitle('Titanic: Survival Outcome by Cabin Class')

环图：

echartr(titanic, Survived, Count, facet=Class, type='ring') %>%

setTitle('Titanic: Survival Outcome by Cabin Class')

信息图样环图：

ds

a=c(68, 29, 3))

g %

setTheme('macarons', width=800, height=600) %>%

setTitle('How do you feel?','ring_info',

pos=c('center','center', 'horizontal'))

g

南丁格尔玫瑰图：

echartr(titanic, Class, Count, facet=Survived, type='rose', subtype='radius') %>%

setTitle('Titanic: Survival Outcome by Cabin Class')

Titanic_ N by Cabin Class.png

Titanic_ N by Cabin Class(1).png

Titanic_ Survival Outcome by Cabin Class.png

Titanic_ Survival Outcome by Cabin Class(1).png

How do you feel_.png

Titanic_ Survival Outcome by Cabin Class(2).png

5.雷达图：

重构内置数据集

cars = mtcars[c('Merc 450SE','Merc 450SL','Merc 450SLC'),

c('mpg','disp','hp','qsec','wt','drat')]

cars$model

cars

names(cars)

knitr::kable(cars)

单个雷达图

echartr(cars, indicator, Parameter, model, type='radar', sub='fill') %>%

setTitle('Merc 450SE vs 450SL vs 450SLC')

多个雷达图：

echartr(cars, indicator, Parameter, facet=model, type='radar') %>%

setTitle('Merc 450SE vs 450SL vs 450SLC')

Merc 450SE vs 450SL vs 450SLC.png

Merc 450SE vs 450SL vs 450SLC(1).png

6.比较有趣的dashboard

构造一个数据集：

data = data.frame(x=rep(c('KR/min', 'Kph'), 2), y=c(3.3, 56, 9.5, 88),

z=c(rep('t1', 2), rep('t2', 2)))

knitr::kable(data)

echartr(data, x, y, type='gauge')

多个dashboard：

echartr(data, x, y, facet=x, type='gauge')

带时间轴：

echartr(data, x, y, facet=x, t=z, type='gauge')

ECharts(3).png

ECharts(4).png

ECharts(5).png

基本上常用的数据图表展示recharts都可以很方便和很酷炫的展示，作者只是挑选了几个比较常用的图表类型做了抛砖迎玉，具体的细节各位可以去查看具体的文档：https://madlogos.github.io/recharts/index_cn.html#-en