The document reads in multiple csv files containing time, cost, safety, and other parameter data from various sources. It then preprocesses some of the data, such as extracting location data and subsets of rows and columns. It also reads in plot data and social good data. The rest of the document contains code for a Shiny dashboard with multiple tabs for viewing the raw data, performing analyses, viewing data summaries, and displaying various plots, maps and interactive visualizations of the data.

1. # Reading in the required datafiles from the source
time.parameter <- read.csv("timeparameter.csv")
safety.parameter <- read.csv("safetyparameter.csv")
cost.parameter <- read.csv("costparameter.csv")
cost.parameter.dropped <- cost.parameter[,c(-6,-7,-8)]
final.results <- read.csv("Finalresults.csv")
final.safety.results <- read.csv("Finalsafetyresults.csv")
final.cost.results <- read.csv("Finalcostresults.csv")
final.time.results <- read.csv("Finaltimeresults.csv")
final.weighted.data <- read.csv("Finalweighteddata.csv")
all.location <- read.csv("Location.csv")
locations <- all.location[1:30,]
locations$Location <- gsub(",",":",locations$Location)
placeNames <- as.character(locations$Intersection)
plotData <- data.frame(name = placeNames, latLong = unlist(locations$Location))
volume.by.year <- read.csv("~/Desktop/firstpanel/volumeByYear.csv")
volume.by.year.1 <- volume.by.year[,1:9]
volumeByYear <- read.csv("~/Desktop/firstpanel/volumeByYear.csv")
volumeByYear2013 <- volumeByYear[1:30,]
social.good.2016 <- read.csv("~/Desktop/firstpanel/socialgood.csv")
# ------ BEGIN UI -------------#
shinyUI(fluidPage(
tagList(
# --------- Calling theme Selector ------- #
shinythemes::themeSelector(),
# ------- Setting up Navigation Bar Title ------ #
navbarPage(
"DMS for DDI",
# -------- BEGIN RAW DATA PANEL -------- #
# Assigning Tab Name -> Will be used to see the raw data used for decision making
tabPanel("Raw Data",
sidebarPanel(
helpText("Select the parameters that you want to view TIME Data for"),
# Asking users to select which factors they want to view for TIME Parameter
selectInput("time.parameters", "Select the Time factors you want to view data for",
c("Intersections" = 1, "% of left turns" = 2, "Annual Hours wasted in Traffic" = 4, "Average Daily
Total Traffic" = 5, "Speed Limit" = 6, "Existing Lane Length" = 7), selected = 1, selectize = TRUE,
multiple = TRUE),
# Asking users to select which factors they want to view for COST Parameter
helpText("Select the parameters that you want to view COST Data for"),

2. selectInput("cost.parameters", "Select the Cost factors you want to view data for",
c("Intersections" = 1, "% of left turns" = 2, "Avg. Daily Total Traffic" = 3, "Shoulder Width" = 4),
selected = 1, selectize = TRUE, multiple = TRUE),
# Asking users to select which factors they want to view for SAFETY Parameter
helpText("Select the parameters that you want to view SAFETY Data for"),
selectInput("safety.parameters", "Select the Safety factors you want to view data for",
c("Intersections" = 1, "% of left turns" = 4, "Avg. Daily Total Traffic" = 5, "Shoulder Width" = 7,
"% of Trucks" = 8, "Clearance" = 9, "Speed Limit" = 10), selected = 1, selectize = TRUE, multiple =
TRUE),
#-----------------------------------------------------
selectInput("dataset", "Choose a dataset:",
choices = c("Time.Data", "Cost.Data", "Safety.Data", "Social.Good")),
downloadButton('downloadData', 'Download')
#-----------------------------------------------------
),
mainPanel(
# Dividing the main panel in RAW DATA Page into 3 tabs
tabsetPanel(
# Rendering table to showcase the required TIME data fields
tabPanel("Raw Time Data", tableOutput("time.data")),
# Rendering table to showcase the required COST data fields
tabPanel("Raw Cost Data", tableOutput("cost.data")),
# Rendering table to showcase the required SAFETY data fields
tabPanel("Raw Safety Data", tableOutput("safety.data"))
)
)
),
# ------- END OF PANEL 1 (DATA VIEWING) --------- #
# ------- Begin ANALYSIS PANEL (Running Analytics Engine) --------- #
tabPanel("Analysis Data",
titlePanel("Analytics"),
fluidRow(
column(4,
selectInput("intersections",
"Intersections:",
c("All",
unique(as.character(time.parameter$Intersections))))

3. ),
column(4,
selectInput("exist.lane.length",
"Existing lane length:",
c("All",
unique(as.character(time.parameter$Existing.Lane.Length))))
),
column(4,
selectInput("left.turns",
"Left Turns:",
c("All",
unique(as.character(time.parameter$Lefts))))
)
),
# Create a new row for the table.
fluidRow(
DT::dataTableOutput("table")
)
),
# ------- END OF PANEL 2 (ANALYTICS) --------- #
# -------- BEGIN PANEL 3 (SUMMARY) --------- #
tabPanel("Summary",
sidebarPanel(
titlePanel("Data Summary"),
selectInput("time.summary", "Pls. Select the reqd choices to view the summary of TIME
data", c("Variable" = 1, "Count" = 2, "Mean" = 3, "Standard Deviation" = 4, "Min. Values" = 5,
"Max. Values" = 6), selected = 1, selectize = TRUE, multiple = TRUE),
selectInput("cost.summary", "Pls. Select the reqd choices to view the summary of COST
data", c("Variable" = 1, "Mean" = 3, "Standard Deviation" = 4, "Min. Values" = 5, "Max. Values"
= 6), selected = 1, selectize = TRUE, multiple = TRUE),
selectInput("safety.summary", "Pls. Select the reqd choices to view the summary of SAFETY
data", c("Variable" = 1, "Count" = 2, "Mean" = 3, "Standard Deviation" = 4, "Min. Values" = 5,
"Max. Values" = 6), selected = 1, selectize = TRUE, multiple = TRUE)
),
mainPanel(

4. tabsetPanel(
tabPanel("Time Data Summary", tableOutput("time.table")),
tabPanel("Cost Data Summary", tableOutput("cost.table")),
tabPanel("Safety Data Summary", tableOutput("safety.table"))
)
)
),
# ------- END OF PANEL 3 (Summary) --------- #
# --------------- PANEL 4 START ------------------- #
tabPanel("Wt'd Results Plot",
plotOutput("plot1",
click = "plot_click",
dblclick = "plot_dblclick",
hover = "plot_hover",
brush = "plot_brush"
),
verbatimTextOutput("info"),
plotOutput("plot2",
click = "plot_click",
dblclick = "plot_dblclick",
hover = "plot_hover",
brush = "plot_brush"
),
verbatimTextOutput("info1"),
plotOutput("plot3",
click = "plot_click",
dblclick = "plot_dblclick",
hover = "plot_hover",
brush = "plot_brush"
),
verbatimTextOutput("info2")
),
# --------------- PANEL 4 END ------------------- #
# --------------- PANEL 5 START ------------------- #
tabPanel("Table Results", verbatimTextOutput("result"), verbatimTextOutput("result.1")),
tabPanel("Graphs",
sidebarPanel(
helpText("Traffic and 911 Response are interactive plots that could be played around to
view data in different formats. For the interactive motion charts, there are 6 interactive layers

5. within the scatterplot. The x-axis variable, y-axis variable, linear and logarthmic scales, size of
the scatter plots, color of the scatter plots and motion across time. Apart from scatterplot you
can directly switch between line chart (have similar controls as above) and timeline chart (x-axis
is time and cannot be changed). As for Peak Traffic, it is a 3 D scatterplot giving users the feel
for the distance and placement for each intersection. Users can toggle on or off the
intersections they want and can freely rotate in a 3 D space to understand the points.")),
mainPanel(
tabsetPanel(
tabPanel("Traffic",
htmlOutput("gvis")),
tabPanel("911 Response",
htmlOutput("socialgood")),
tabPanel("Peak Traffic",
plotlyOutput("plot_ly"),
verbatimTextOutput("click_ly"),
verbatimTextOutput("hover_ly"))
))),
tabPanel("Maps", leafletOutput("map"), dataTableOutput("maps.table"))
# --------------- PANEL 5 END ------------------- #
)
)
)
)