ui.R

shinyUI(dashboardPage(
    dashboardHeader(title=paste("COVID Analysis as of", as_of_date),
                    titleWidth=350),
    dashboardSidebar(
        sidebarMenu(
            menuItem("Introduction", tabName = "intro", icon = icon("clinic-medical")),
            menuItem("Graphs", tabName = "graph", icon = icon("map")),
            menuItem("Data", tabName = "data", icon = icon("database")),
            menuItem("About", tabName = 'about', icon=icon("address-card"))
        )
    ),
    dashboardBody(tabItems(
        tabItem(tabName = 'intro',
                fluidRow(box(p('During the past year, the world has been beset by 
                             a pandemic going by many names: Coronavirus, COVID-19, SARS-COV-2, et al.
                             It is said that to defeat one\'s opponent, one must know the enemy.
                             Understanding trend analysis and correlation is a good approach.'),
                             p('This application attempts to visualize the daily trends of the disease on a state by state basis. 
                               The starting data is composed of positive and negative tests, deaths from COVID, and estimated 2020 population.
                               These data points allowed the computation of mortality rates, positivity rates, and per capita calculations.
                               Data was aggregated across the 50 states to simulate the United States.'),
                             p('Data about the disease was obtained from ',
                               a('covidtracking.com',
                                 href=covid_url), 
                               ', which is curated by the Atlantic Monthly Group, while population data for 2020 came from ',
                               a('Wikipedia',href=wiki_url),'.'),
                             title="Introduction", width=12))),
        
        tabItem(
            tabName = 'graph',
            fluidRow(
                infoBoxOutput("latestMinBox"), 
                infoBoxOutput("latestMaxBox"),
                infoBoxOutput("latestAvgBox")
            ),

            fluidRow(box(plotOutput("covidPlot"), width=12)),
            fluidRow(box(selectizeInput(
                inputId = 'stateSel',
                label = 'Choose a state:',
                choice = states
            ),width=6),box(
            selectizeInput(
                inputId = 'colSel',
                label = 'Choose a metric:',
                choice = colChoices
            ),width=6))
        ),
        
        tabItem(tabName = "data",
                fluidRow(box(dataTableOutput("table"), width = 12))
                ),
        
        tabItem(tabName='about',
                fluidRow(box(
                             p(img(src='DPW_20201121.jpg',height=50,width=50),
                               'Author: David Wasserman'),
                             p('Email:',a('davidphilipwasserman@gmail.com',
                                          href='mailto:davidphilipwasserman@gmail.com')), 
                             p('GitHub:',a('https://github.com/DPWasserman/covid_analysis',
                                           href='https://github.com/DPWasserman/covid_analysis')),
                             p('Blog Post:', a('Effect of Positivity Rates on Deaths in the United States during the COVID Pandemic',
                                               href='https://nycdatascience.com/blog/student-works/r-shiny/effect-of-positivity-rates-on-deaths-in-the-united-states-during-the-covid-pandemic/')),
                             p('Application hosted at:',a('ShinyApps.io', href='https://dpwasserman.shinyapps.io/COVID_analysis/'))
                             )
                         )
                )
    ))
))