我创建了一个闪亮的APP。交互式柱形图出现故障-它没有显示两列,而是显示了一列。另外,如果我选择其他变量,则图表不会自动更新。
如果有人可以帮助解决它,我将不胜感激。非常感谢!!
代码如下:
library(shiny)
library(ggplot2)
library(plotly)
a=c("Female","Female","Male","Female","Male")
b=c("Yes","No","No","Yes","No")
c=c("Yes","Yes","Yes","No","No")
Mydata=data.frame(gender=a,SeniorCitizen=b,Churn=c)
ggplot(Mydata)+geom_bar(aes(gender,fill=Churn))+
ggtitle("Categorical Variable vs Target Variable")+theme(plot.title = element_text(hjust = 0.5))
ui = shinyUI(fluidPage(
headerPanel(title="Features Review"),
sidebarPanel(
selectInput("Variable","Select A Categorical Variable",
list("gender"="gender","SeniorCitizen"="SeniorCitizen"
))),
mainPanel(
titlePanel(title="Categorical Variable Visualization"),plotOutput("CPlots"))
))
server = shinyServer(function(input, output) {
output$CPlots = reactivePlot(function(){
ggplot(Mydata)+geom_bar(aes(input$Variable,fill=Churn))+
ggtitle("Categorical Variable vs Target Variable")+theme(plot.title = element_text(hjust = 0.5))
})
})
shinyApp(ui,server)
答案 0 :(得分:0)
@Html.ActionLink("Approve", "Approved", new { id = item.ClusterID }, new { @style = "display:none" })
这可行,但是您的图除了y轴上的类别外不会改变任何其他内容,因为it('should check cancel link is availabe', () => {
const wrapper = shallow(<RoomDetails {...defaultProps} />);
var anchorHref = wrapper.find('<a>').prop('href');
expect(anchorHref).toEqual('https:example.com/change')
});
仅按组计算变量。也许您想过滤任何东西?我为您提供了一些代码,您可以在其中更改selectInput时看到更改。
答案 1 :(得分:0)
根据您的评论和@DSGym的建议,我认为您需要以下代码:
library(shiny)
library(ggplot2)
library(plotly)
a = c("Female", "Female", "Male", "Female", "Male")
b = c("No", "No", "No", "Yes", "No")
c = c("Yes", "Yes", "Yes", "No", "No")
Mydata = data.frame(gender = a,
SeniorCitizen = b,
Churn = c)
ui = shinyUI(fluidPage(
headerPanel(title = "Features Review"),
sidebarPanel(selectInput(
"Variable",
"Select A Categorical Variable",
list("gender" = "gender", "SeniorCitizen" = "SeniorCitizen")
)),
mainPanel(
titlePanel(title = "Categorical Variable Visualization"),
plotOutput("CPlots")
)
))
server = shinyServer(function(input, output) {
output$CPlots = renderPlot(
ggplot(Mydata, aes(
x = get(input$Variable), fill = Churn
)) +
geom_bar() +
ggtitle("Categorical Variable vs Target Variable") +
theme(plot.title = element_text(hjust = 0.5))
)
})
shinyApp(ui, server)