Ayush Verma
October 26, 2019
This is an RStudio shiny application developed as a part of final project in the Developing Data Products course in Coursera Data Science Specialization track. The application summarizes Call Center Measurements for an entire call center, as well as by subgroups made up of three teams.
This is the initial attempt at creating a broader reporting format for Call Center Management Reports. Eventually the goal is to have hyperlinks within the App that will lead to more detailed information for each of the measures as well as each Team.
library(shiny)
Perform <- read.csv("week4ddp.csv")
# Ui.R code
library(shiny)
Perform <- read.csv("week4ddp.csv")
fluidPage(
checkboxGroupInput("variable", "Variables:",
c("Overall Results" = "Overall",
"Team 1 Results" = "Team1",
"Team 2 Results" = "Team2",
"Team 3 Results" = "Team3")),
tableOutput("data")
)# Server.R code
function(input, output, session) {
output$data <- renderTable({
Perform[, c("Performance.Measures", input$variable), drop = FALSE]
}, rownames = TRUE)
}## function(input, output, session) {
## output$data <- renderTable({
## Perform[, c("Performance.Measures", input$variable), drop = FALSE]
## }, rownames = TRUE)
## }
## X Performance.Measures X.1 Overall Team1 Team2 Team3
## 1 1 Average Handle Time NA 0:02:53 0:02:43 0:02:41 0:03:39
## 2 2 Average Wait Time NA 00:29.26 <NA> <NA> <NA>
## 3 3 % Time in "Not Ready" NA 15.05% 14.95% 14.49% 16.33%
## 4 4 % Calls Not Answered NA 0.67% 0.69% 0.91% 0.26%
## 5 5 Adherence Measure 1 NA 96.73% 95.38% 97.41% 97.85%
## 6 6 Adherence Measure 2 NA 98.74% 98.40% 98.46% 100.00%
## 7 7 Adherence Measure 3 NA 95.90% 98.40% 96.15% 90.32%
## 8 8 Adherence Measure 4 NA 94.54% 93.59% 93.73% 98.02%
## 9 9 Quality Measure 1 NA 100.00% 100.00% 100.00% 100.00%
## 10 10 Quality Measure 2 NA 99.12% 98.86% 99.36% 99.25%
## 11 11 Overall Converted Score NA 78.32 81.87 80.83 75.12
This is the table of data that was used for this application.