我想创建一个闪亮的应用程序，该应用程序根据公司的收入和东西绘制一个热图，绘制该热图时，应根据用户plot_click绘制另一个图。
完整代码
library(shiny)
library(ggplot2)
library(gplots)
library(plotly)
Comp_name <- c("Dum1")
Inc <- c(175.26,175.365,175.65,176.65,176.165,176.1685,175.56)
Exp <- c(175.48,174.53,174.165,173.1651,175.651,174.16541,176.65)
Date <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy1 <- as.data.frame(cbind(Comp_name,Inc,Exp,Date,Dates))
Comp_name1 <- c("Dum2")
Inc1 <- c(151.26,151.59,151.23,152.46,152.49,151.29,150.81)
Exp1 <- c(152.64,152.84,152.64,152.48,152.35,154.26,153.14)
Date1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy2 <- as.data.frame(cbind(Comp_name1,Inc1,Exp1,Date1,Dates1))
Comp_name2 <- c("Dum3")
Inc2 <- c(160.45,161.25,163.56,165.25,163.59,160.89,161.26)
Exp2 <- c(160.19,160.78,162.15,164.89,165.24,163.25,162.48)
Date2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy3 <- as.data.frame(cbind(Comp_name2,Inc2,Exp2,Date2,Dates2))
Comp_name3 <- c("Dum4")
Inc3 <- c(156.26,155.12,157.12,158.78,154.26,160.12,161.26)
Exp3 <- c(160.19,160.19,155.19,154.26,150.12,157.26,159.12)
Date3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy4 <- as.data.frame(cbind(Comp_name3,Inc3,Exp3,Date3,Dates3))
Data <- cbind(Dummy1,Dummy2,Dummy3,Dummy4)
Data <- as.data.frame(Data)
ui <- fluidPage(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"), #Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Compare Income And
Expenditure" = "cmp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1",
"Profit Lost" = "plost1",
"Profit Percent" = "pp1",
"Profit Trend" = "proftrend1"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")),
tabPanel("Heatmap",
actionButton("combine","Combine"),
selectInput("ploth","Heatmap", "Plot Heatmap Of", choices =c("Income" = "inc2",
"Expenditure" = "exp2",
"Gross Profit" = "gprofit2",
"Net Profit" = "nprofit2")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
fixedRow(column(3,actionButton("retable","Show Table")),
column(3,actionButton("clear","Clear"))),
tableOutput("click"),
plotOutput("Next")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,2]- Data[ ,3])
nprofit <- c(gprofit - (gprofit*0.06))
z <- as.numeric(nrow(Data))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:z]-gprofit[1:(z-1)])
slope = c(((proftrend[2:(z-1)]-proftrend[1:(z-2)])/1),0)
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4]))+
geom_line(aes(y= inc,group = 1, colour = "Income"))
+ geom_line(aes(y= exp,group =1, colour = "Expenditure"))+
xlab("Dates")+ ylab("Income (in lakhs)")+
scale_color_manual("",
breaks = c("Income","Expenditure"),
values = c(
"Income"="green",
"Expenditure"= "red"
))+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:z]),
aes(x= Data[c(2:z),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
))})
output$table <- renderTable(Data)}) #Display the choosen file details
observeEvent(input$hplotit, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = Data[,3] - Data[,2],
Dummy2 = Data[,8] - Data[,7],
Dummy3 = Data[,13] - Data[,12],
Dummy4 = Data[,18] - Data[,17]))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = (Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),
Dummy2 = (Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),
Dummy3 = (Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),
Dummy4 = (Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22)))
nprofit2 <- as.matrix(nprofit1)
date <- as.character(Data[,4])
h <- input$ploth
switch(EXPR = h ,
inc2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(inc2), y = date,
z = inc2, type = "heatmap",
colorscale = "Earth")),
exp2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(exp2), y = date,
z = exp2, type = "heatmap",
colors = colorRamp(c("red",
"yellow")))),
gprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(gprofit2),
y = date, z = gprofit2,
type = "heatmap",
colorscale="Greys")),
nprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(nprofit2),
y = date, z = nprofit2,
type = "heatmap"))
)
})
observeEvent(input$retable, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- cbind(Date = (as.character(Data[,4])),get(h))
output$click <- renderTable(did)})
observeEvent(input$clear, {
did <<- NULL
output$click <- renderTable(did)
})
output$Next <- renderPlot({
event.data <- event_data(event = "plotly_click")
vars <- event.data[["x"]]
vars <- as.character(vars())
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- cbind(Date = (as.character(Data[,4])),get(h))
if(is.null(event.data)) NULL else plot(x = as.character.Date(Data[,4]) ,y = did$vars)
})
}
# Run the application
shinyApp(ui = ui, server = server)
重要零件
Shiny.ui
tabPanel("Heatmap",
actionButton("combine","Combine"),
selectInput("ploth","Heatmap", "Plot Heatmap Of", choices =c("Income" = "inc2",
"Expenditure" = "exp2",
"Gross Profit" = "gprofit2",
"Net Profit" = "nprofit2")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
fixedRow(column(3,actionButton("retable","Show Table")),
column(3,actionButton("clear","Clear"))),
tableOutput("click"),
plotOutput("Next")
Shiny.server
output$Next <- renderPlot({
event.data <- event_data(event = "plotly_click")
vars <- event.data[["x"]]
vars <- as.character(vars())
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- cbind(Date = (as.character(Data[,4])),get(h))
if(is.null(event.data)) NULL else plot(x = as.character.Date(Data[,4]) ,y = did$vars, type = "o")
})
}
# Run the application
shinyApp(ui = ui, server = server)
我已经准备好了一个应用程序，并且可以运行，但是由于以下原因，在单击后绘制下一张图的最后一步不起作用
Warning: Error in : $ operator is invalid for atomic vectors
我知道错误在于
event.data <- event_data(event = "plotly_click")
vars <- event.data[["x"]]
因为我不能使用even_data输入来调用列。请帮助我进行转换，以便可以在“ did”数据框中调用“ vars”，以便可以绘制最终图形。还请告知是否还有其他问题。谢谢。
一些样本数据
Comp_name <- c("Dum1")
Inc <- c(175.26,175.365,175.65,176.65,176.165,176.1685,175.56)
Exp <- c(175.48,174.53,174.165,173.1651,175.651,174.16541,176.65)
Date <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy1 <- as.data.frame(cbind(Comp_name,Inc,Exp,Date,Dates))
Comp_name1 <- c("Dum2")
Inc1 <- c(151.26,151.59,151.23,152.46,152.49,151.29,150.81)
Exp1 <- c(152.64,152.84,152.64,152.48,152.35,154.26,153.14)
Date1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy2 <- as.data.frame(cbind(Comp_name1,Inc1,Exp1,Date1,Dates1))
Comp_name2 <- c("Dum3")
Inc2 <- c(160.45,161.25,163.56,165.25,163.59,160.89,161.26)
Exp2 <- c(160.19,160.78,162.15,164.89,165.24,163.25,162.48)
Date2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy3 <- as.data.frame(cbind(Comp_name2,Inc2,Exp2,Date2,Dates2))
Comp_name3 <- c("Dum4")
Inc3 <- c(156.26,155.12,157.12,158.78,154.26,160.12,161.26)
Exp3 <- c(160.19,160.19,155.19,154.26,150.12,157.26,159.12)
Date3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy4 <- as.data.frame(cbind(Comp_name3,Inc3,Exp3,Date3,Dates3))
Data <- cbind(Dummy1,Dummy2,Dummy3,Dummy4)
Data <- as.data.frame(Data)
答案 0 :(得分：1)
将x值直接放在一个位置。不要分两个阶段进行操作。
library(shiny)
library(ggplot2)
library(gplots)
library(plotly)
ui <- fluidPage(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"), #Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Compare Income And
Expenditure" = "cmp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1",
"Profit Lost" = "plost1",
"Profit Percent" = "pp1",
"Profit Trend" = "proftrend1"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")),
tabPanel("Heatmap",
actionButton("combine","Combine"),
selectInput("ploth","Heatmap", "Plot Heatmap Of", choices =c("Income" = "inc2",
"Expenditure" = "exp2",
"Gross Profit" = "gprofit2",
"Net Profit" = "nprofit2")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
fixedRow(column(3,actionButton("retable","Show Table")),
column(3,actionButton("clear","Clear"))),
tableOutput("click"),
plotOutput("Next")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,2]- Data[ ,3])
nprofit <- c(gprofit - (gprofit*0.06))
z <- as.numeric(nrow(Data))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:z]-gprofit[1:(z-1)])
slope = c(((proftrend[2:(z-1)]-proftrend[1:(z-2)])/1),0)
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4]))+
geom_line(aes(y= inc,group = 1, colour = "Income"))
+ geom_line(aes(y= exp,group =1, colour = "Expenditure"))+
xlab("Dates")+ ylab("Income (in lakhs)")+
scale_color_manual("",
breaks = c("Income","Expenditure"),
values = c(
"Income"="green",
"Expenditure"= "red"
))+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:z]),
aes(x= Data[c(2:z),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
))})
observeEvent(input$combine, {
Data <<- cbind(read.csv(file.choose()),read.csv(file.choose()),read.csv(file.choose()),
read.csv(file.choose()))
output$table <- renderTable(Data)}) #Display the choosen file details
observeEvent(input$hplotit, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = Data[,3] - Data[,2],
Dummy2 = Data[,8] - Data[,7],
Dummy3 = Data[,13] - Data[,12],
Dummy4 = Data[,18] - Data[,17]))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = (Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),
Dummy2 = (Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),
Dummy3 = (Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),
Dummy4 = (Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22)))
nprofit2 <- as.matrix(nprofit1)
date <- as.character(Data[,4])
h <- input$ploth
switch(EXPR = h ,
inc2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(inc2), y = date,
z = inc2, type = "heatmap",
colorscale = "Earth")),
exp2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(exp2), y = date,
z = exp2, type = "heatmap",
colors = colorRamp(c("red",
"yellow")))),
gprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(gprofit2),
y = date, z = gprofit2,
type = "heatmap",
colorscale="Greys")),
nprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(nprofit2),
y = date, z = nprofit2,
type = "heatmap"))
)
})
observeEvent(input$retable, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- cbind(Date = (as.character(Data[,4])),get(h))
output$click <- renderTable(did)})
observeEvent(input$clear, {
did <<- NULL
output$click <- renderTable(did)
})
output$Next <- renderPlot({
event.data <- event_data(event = "plotly_click")[["x"]]
vars <- as.character(event.data)
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- cbind(Date = (as.character(Data[,4])),get(h))
if(is.null(event.data)) NULL else plot(x = Data[,4] ,y = did[,vars], type = "o")
})
}
# Run the application
shinyApp(ui = ui, server = server)