add storm comparison

dashboard.Rmd

@@ -42,7 +42,7 @@ library(scales)
 library(billboarder)
 library(mirai)
 
-daemons(3)
+#mirai::daemons(3)
 
 linuxdir <- "/home/dylan/Personal/Projects/Hurricane Normalization/"
 macdir <- "~/Desktop/Personal/Projects/Hurricane Normalization/"
@@ -110,13 +110,13 @@ loading_states <- reactiveValues(
 onStop(function() {
   dbDisconnect(con)
   
-  if(!is.null(async_reqs$track_request)) {
+  #if(!is.null(async_reqs$hurdat_track)) {
-    tryCatch({
+  #  tryCatch({
-      async_reqs$track_request <- NULL
+  #    async_reqs$hurdat_track <- NULL
-    }, error = function(e) {
+  #  }, error = function(e) {
-      cat(e)
+  #    cat(e)
-    })
+  #  })
-  }
+  #}
 })
 ```
 
@@ -136,7 +136,7 @@ HTML(
   
   <h6>Our Data</h6>
   
-  <p>The core datasets used in this app are based on research by Muller et al. (2025) and the expanded analysis by Mooney et al. (2025), published in the <i>Bulletin of the American Meteorlogical Society</i> and <i>****JOURNAL****</i> respectively. These studies update and refine hurricane damage normalization methodologies to provide a more accurate picture of how historical hurricanes would impact today\'s society.</p>
+  <p>The core datasets used in this app are based on research by Muller et al. (2025) and the expanded analysis by Mooney et al. (2025), published in <i>Bulletin of the American Meteorlogical Society</i> and <i>****JOURNAL****</i> respectively. These studies update and refine hurricane damage normalization methodologies to provide a more accurate picture of how historical hurricanes would impact today\'s society.</p>
   
   <ul>
     <li><b>PL22:</b> The Pielke-Landsea (2022) normalization that adjusts for inflation, wealth per capita, and population changes. This data has been updated to 2022.</li>
@@ -161,10 +161,6 @@ HTML(
     
     <li><b>Up-to-date Data:</b> Using the latest population, housing unit, and economic data through 2024.</li>
   </ul>
-  
-  <h6>Questions?</h6>
-  
-  <p>CONTACT INFO?</p>
   '
 )
 
@@ -180,7 +176,7 @@ HTML(
   
   <h6>Our Data</h6>
   
-  <p>The core datasets used in this app are based on research by Muller et al. (2025) published in the <i>Bulletin of the American Meteorlogical Society</i>. This study updates and refines hurricane damage normalization methodologies to provide a more accurate picture of how historical hurricanes would impact today\'s society.</p>
+  <p>The core datasets used in this app are based on research by Muller et al. (2025) published in <i>Bulletin of the American Meteorlogical Society</i>. This study updates and refines hurricane damage normalization methodologies to provide a more accurate picture of how historical hurricanes would impact today\'s society.</p>
   
   <ul>
     <li><b>PL22:</b> The Pielke-Landsea (2022) normalization that adjusts for inflation, wealth per capita, and population changes. This data has been updated to 2022.</li>
@@ -205,10 +201,6 @@ HTML(
     
     <li><b>Up-to-date Data:</b> Using the latest population, housing unit, and economic data through 2024.</li>
   </ul>
-  
-  <h6>Questions?</h6>
-  
-  <p>CONTACT INFO?</p>
   '
 )
 
@@ -617,7 +609,74 @@ fillCol(
 Storm Fatalities {data-navmenu="Storm Details"}
 ===
 
+Storm Comparison {data-navmenu="Storm Details"}
+===
 
+Column {data-width=500}
+---
+
+### Storm One {data-height=550}
+```{r}
+# selected storm
+
+# dygraph of normalization
+
+fillCol(
+  flex = c(.2, .8),
+  fluidRow(
+    column(4,
+           selectInput("locked_storm_one_basin", NULL, choices = "AL")
+    ),
+    column(4,
+           selectInput("locked_storm_one_year", NULL, choices = 2005)
+    ),
+    column(4,
+           selectInput("locked_storm_one_name", NULL, choices = "KATRINA")
+    )
+  ),
+  #dygraphOutput("cost_index_chart")
+)
+```
+
+### Storm One Track {data-height=450 .no-padding}
+```{r}
+# hurdat track
+#leafletOutput("track_map", height="100%")
+```
+
+Column {data-width=500}
+---
+
+### Storm Two {data-height=550}
+```{r}
+# selected storm
+
+# dygraph of normalization
+
+fillCol(
+  flex = c(.2, .8),
+  fluidRow(
+    column(3,
+           selectInput("locked_storm_two_basin", NULL, choices = "AL")
+    ),
+    column(3,
+           selectInput("locked_storm_two_year", NULL, choices = 2005)
+    ),
+    column(3,
+           selectInput("locked_storm_two_name", NULL, choices = "KATRINA")
+    ),
+    column(3,
+           actionButton("select_storm_two", "Submit", class = "btn-primary")
+    )
+  ),
+  #dygraphOutput("cost_index_chart")
+)
+```
+
+### Storm Two Track {data-height=450}
+```{r}
+# hurdat track
+```
 
 Fatalities {data-navmenu="Fatalities"}
 ===
@@ -706,8 +765,8 @@ aggregate_fatality_types <- data.frame(fatality_type, fatality_totals)
 
 output$aggregate_fatalities <- renderBillboarder(
   billboarder() %>% 
-    bb_piechart(aggregate_fatality_types) %>% 
+    bb_piechart(aggregate_fatality_types) 
-    bb_legend(position = "right")
+    #%>% bb_legend(position = "right")
 )
 
 billboarderOutput("aggregate_fatalities")
@@ -717,8 +776,6 @@ billboarderOutput("aggregate_fatalities")
 ```{r}
 ```
 
-Storm Comparison {data-navmenu="Compute"}
-===
 
 Sandbox {data-navmenu="Compute"}
 ===