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DESCRIPTION

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+Package: mycarbonapp
+Package: CCSLawDB
+Title: CCS Law Database Viewer
+Version: 0.0.1
+Description: Shiny app for viewing CCS-related legal data
+Author: Your Name
+License: MIT

app.R

@@ -1,58 +1,62 @@
+if (!requireNamespace("DT", quietly = TRUE)) {
+  stop("DT package not available")
+}
+
 library(shiny)
-library(bslib)
+library(DT)
 library(dplyr)
-library(ggplot2)
+library(readr)
 
-df <- readr::read_csv("penguins.csv")
-# Find subset of columns that are suitable for scatter plot
-df_num <- df |> select(where(is.numeric), -Year)
+# ファイル読み込み
+act01 <- read_csv("data/CCS_Act01.csv") %>% mutate(法分類 = "法律")
+act02 <- read_csv("data/CCS_Act02.csv") %>% mutate(法分類 = "政令")
+act03 <- read_csv("data/CCS_Act03.csv") %>% mutate(法分類 = "省令")
 
-ui <- page_sidebar(
-  theme = bs_theme(bootswatch = "minty"),
-  title = "Penguins explorer",
-  sidebar = sidebar(
-    varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"),
-    varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"),
-    checkboxGroupInput("species", "Filter by species",
-      choices = unique(df$Species), selected = unique(df$Species)
+# データ統合
+law_data <- bind_rows(act01, act02, act03)
+
+# UI定義
+ui <- fluidPage(
+  titlePanel("法令データベース検索（CCS法体系プロトタイプ）"),
+  sidebarLayout(
+    sidebarPanel(
+      selectInput("law_type", "法分類を選択:", 
+                  choices = c("すべて", unique(law_data$法分類)), 
+                  selected = "すべて"),
+      textInput("keyword", "キーワード検索:", ""),
+      actionButton("search", "検索実行")
     ),
-    hr(), # Add a horizontal rule
-    checkboxInput("by_species", "Show species", TRUE),
-    checkboxInput("show_margins", "Show marginal plots", TRUE),
-    checkboxInput("smooth", "Add smoother"),
-  ),
-  plotOutput("scatter")
+    mainPanel(
+      DTOutput("table")
+    )
+  )
 )
 
+# サーバ定義
 server <- function(input, output, session) {
-  subsetted <- reactive({
-    req(input$species)
-    df |> filter(Species %in% input$species)
+  
+  filtered_data <- eventReactive(input$search, {
+    data <- law_data
+    
+    if (input$law_type != "すべて") {
+      data <- filter(data, 法分類 == input$law_type)
+    }
+    
+    if (input$keyword != "") {
+      data <- filter(data, grepl(input$keyword, 条文テキスト, ignore.case = TRUE))
+    }
+    
+    data
+  }, ignoreNULL = FALSE)
+  
+  output$table <- renderDT({
+    datatable(
+      filtered_data(), 
+      options = list(pageLength = 15, autoWidth = TRUE),
+      rownames = FALSE
+    )
   })
-
-  output$scatter <- renderPlot(
-    {
-      p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) +
-        theme_light() +
-        list(
-          theme(legend.position = "bottom"),
-          if (input$by_species) aes(color = Species),
-          geom_point(),
-          if (input$smooth) geom_smooth()
-        )
-
-      if (input$show_margins) {
-        margin_type <- if (input$by_species) "density" else "histogram"
-        p <- p |> ggExtra::ggMarginal(
-          type = margin_type, margins = "both",
-          size = 8, groupColour = input$by_species, groupFill = input$by_species
-        )
-      }
-
-      p
-    },
-    res = 100
-  )
 }
 
-shinyApp(ui, server)
+# アプリ起動
+shinyApp(ui = ui, server = server)

install.R

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+install.packages(c("shiny", "DT", "dplyr", "readr"), repos = "https://cloud.r-project.org")