如何解决基于闪亮应用程序中串扰值的子集数据集
我使用串扰是为了能够点击条形图中的条形并根据 Abcd
对下表进行子集化。出于某种原因,如果我按下一个条形,我只会得到一行数据集,而我应该得到所有这些。如果我再次选择所有条形,表格仍然只显示一行。
---
title: "Operaitonal dashboard"
author: "Report"
date: 'Date: `r Sys.Date()`'
output:
flexdashboard::flex_dashboard:
orientation: columns
theme: lumen
vertical_layout: scroll
---
```{r setup,include=FALSE}
knitr::opts_chunk$set(echo=FALSE,warning= FALSE,message = FALSE)
library(crosstalk)
library(shiny)
library(plotly)
library(flexdashboard)
library(ggplot2)
library(dplyr)
library(reactable)
##The four dataframes
Abcd<-c("A","A","B","B")
Prod<-c(34,56,89)
Div<-c("Ent","Ent","App","High")
dcross1<-data.frame(Abcd,Prod,Div)
Counts<-c(45,67,78,56)
dcross2<-data.frame(Div,Abcd,Counts)
shared_df <- SharedData$new(dcross1,key = ~Abcd,group = "group")
shared_df2 <- SharedData$new(dcross2,group = "group")
```
# Out of stock Report {data-icon="fa-cart-arrow-down" data-orientation=rows}
## Row {data-height="200"}
### Out Of Stock: Store Overview {data-width="200"}
```{r Oos Store}
daily_store_oos_gg<-
ggplot(shared_df,aes(x=Abcd,y=Prod,fill=as.factor(Abcd)
)) +
geom_bar(stat="identity",position="dodge")
# Convert to plotly object
daily_store_oos_ply <-
ggplotly(daily_store_oos_gg)
daily_store_oos_ply
```
## Column {data-width=405}
### Store Overview Out of Stock
```{r out of stock reactable}
daily_item_oos_rctble<-reactable(
shared_df2
)
daily_item_oos_rctble
```
解决方法
有人建议,reactable
不能很好地与 crosstalk
配合使用。也许您的数据可以按如下所示准备。
试试这个
Abcd<-c("A","A","B","B")
Prod<-c(34,56,89)
Div<-c("Ent","Ent","App","High")
dcross1<-data.frame(Abcd,Prod,Div)
Countd<-c(45,67,78,56)
dcross2<-data.frame(Div,Abcd,Countd)
Store<-c(199,199)
Abcd<-c("A","B")
Oos<-c(500,400)
store<-data.frame(Store,Oos,flag=1)
Man<-c("Corp","Adv","Corp","Adv")
Abcd<-c("A","B")
Counts<-c(45,34,78)
Scounts<-c(23,45,67)
Per<-c(1,2,3,5)
supplier<-data.frame(Abcd,Man,Counts,Scounts,Per) # %>% SharedData$new()
supplier2 <- supplier[order(supplier$Abcd),]
dcross <- cbind(dcross1[,2:3],dcross2[,supplier2[,2:5]) %>% mutate(id = row_number())
dcross_sub <- group_by(dcross,Abcd) %>% slice(1) %>% select(Abcd,id)
store_sub <- merge(x = dcross_sub,y = store,by = "Abcd",all = TRUE)
dcrossf <- merge(x = dcross,y = store_sub[,2:5],by = "id",all = TRUE)
ui <- fluidPage(
bscols(widths = 6,list(
plotlyOutput("storep"),DTOutput("dcross1t")
)
)
)
server <- function(input,output) {
row.names(dcrossf) <- NULL
dcross11 <- SharedData$new(dcrossf,key = ~Abcd,group = "group")
store2 <- SharedData$new(subset(dcrossf,flag==1),group = "group")
daily_store_oos_gg<-
ggplot(store2,aes(x=Abcd,y=Oos,fill=as.factor(Abcd)
)) + labs(fill="Abcd") +
geom_bar(stat="identity",position="dodge")
# Convert to plotly object
daily_store_oos_ply <-
ggplotly(daily_store_oos_gg)
output$storep <- renderPlotly({daily_store_oos_gg })
output$dcross1t <- renderDT({dcross11},server=FALSE)
}
shinyApp(ui,server)
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。