and now with llm

Dockerfile

@@ -3,14 +3,14 @@ FROM rocker/geospatial:latest
 WORKDIR /code
 
 RUN install2.r --error \
+    bslib \
     shiny \
-    dplyr \
-    ggplot2 \
-    readr \
-    ggExtra \
-    duckdbfs
+    shinychat \
+    tidyverse \
+    duckdbfs \
+    markdown
 
-RUN installGithub.r cboettig/mapgl
+RUN installGithub.r cboettig/mapgl tidyverse/ellmer
 
 COPY . .
 

app.R

@@ -1,32 +1,101 @@
 library(shiny)
 library(bslib)
+library(markdown)
+library(shinychat)
 library(mapgl)
+library(tidyverse)
+library(duckdbfs)
 
 pmtiles <- "https://data.source.coop/cboettig/us-boundaries/mappinginequality.pmtiles"
 
 # Define the UI
 ui <- page_sidebar(
 
-  titlePanel("Demo App"),
   sidebar = sidebar(
+
+    textAreaInput("chat", 
+      "Ask me a question!", 
+      value = "Which state has the highest average social vulnerability?",
+      width = "100%",
+      height = 100
+    ),
+
+    verbatimTextOutput("sql_code"),
+    textOutput("explanation"),
+
     input_switch("redlines", "Redlined Areas"),
     input_switch("svi", "Social Vulnerability", value = TRUE),
     input_switch("richness", "Biodiversity Richness"),
     input_switch("rsr", "Biodiversity Range Size Rarity"),
+  width = 300,
+  ),
+  titlePanel("Demo App"),
 
-    ),
-    # Create a main panel
-  card(full_screen = TRUE,
-      maplibreOutput("map")
+  layout_columns(
+    card(maplibreOutput("map")),
+    card(includeMarkdown("## Plot"),
+         plotOutput("chart1"),
+         plotOutput("chart2"),
+         ),
 
-    )
-  )
+    col_widths = c(8,4)
+  ),
+
+  tableOutput("table")
+
+)
+
+svi <- "https://data.source.coop/cboettig/social-vulnerability/svi2020_us_tract.parquet" |>
+      open_dataset(tblname = "svi")
+
+con <- duckdbfs::cached_connection()
+schema <- DBI::dbGetQuery(con, "PRAGMA table_info(svi)")
+#schema <- svi |> head() |> collect() |> str()
+
+system_prompt = glue::glue('
+You are a helpful agent who always replies strictly in JSON-formatted text.
+Your task is to translate the users question into a SQL query that will be run
+against the "svi" table in a duckdb database. The duckdb database has a
+spatial extension which understands PostGIS operations as well.
+
+The table schema is <schema>
+
+The column called "RPL_THEMES" corresponds to the overall "Social vulnerability index" number. 
+
+Format your answer as follows:
+
+{
+"query": "your raw SQL response goes here",
+"explanation": "your explanation of the query"
+}
+', .open = "<", .close = ">")
 
 # Define the server
 server <- function(input, output, session) {
-  output$map <- renderMaplibre({
 
-    m <- maplibre(center=c(-92.9, 41.3), zoom=4)
+  chat <- ellmer::chat_vllm(
+    base_url = "https://llm.nrp-nautilus.io/",
+    model = "llama3",
+    api_key = Sys.getenv("NRP_API_KEY"),
+    system_prompt = system_prompt
+  )
+
+  observeEvent(input$chat, {
+    stream <- chat$chat(input$chat)
+
+    chat_append("chat", stream)
+    response <- jsonlite::fromJSON(stream)
+
+    output$sql_code <- renderText({response$query})
+    output$explanation <- renderText({response$explanation})
+
+    df <- DBI::dbGetQuery(con, response$query)
+    output$table <- renderTable(df, striped = TRUE)
+
+  })
+
+  output$map <- renderMaplibre({
+    m <- maplibre(center=c(-92.9, 41.3), zoom=3)
 
     if (input$redlines) {
       m <- m |>
@@ -44,7 +113,7 @@ server <- function(input, output, session) {
                           tiles = "https://data.source.coop/cboettig/mobi/tiles/red/species-richness-all/{z}/{x}/{y}.png",
                           maxzoom = 11
                           ) |>
-        add_raster_layer(id = "richness-layer", 
+        add_raster_layer(id = "richness-layer",
                          source = "richness")
 
     }
@@ -72,15 +141,22 @@ server <- function(input, output, session) {
                                   stops = c("lightblue", "darkblue"),
                                   na_color = "lightgrey")
         )
-    }
-
-
 
+    
+    }
+  m})
 
 
-    m
-  })
+    chart1 <-
+      svi |>
+      filter(RPL_THEMES > 0) |>
+      group_by(COUNTY) |>
+      summarise(mean_svi = mean(RPL_THEMES)) |>
+      collect() |>
+      ggplot(aes(mean_svi)) + geom_density()
 
+  output$chart1 <- renderPlot(chart1)
+  output$chart2 <- renderPlot(chart1)
 
 }
 

penguins.csv

@@ -1,345 +0,0 @@
-Species,Island,Bill Length (mm),Bill Depth (mm),Flipper Length (mm),Body Mass (g),Sex,Year
-Adelie,Torgersen,39.1,18.7,181,3750,male,2007
-Adelie,Torgersen,39.5,17.4,186,3800,female,2007
-Adelie,Torgersen,40.3,18,195,3250,female,2007
-Adelie,Torgersen,NA,NA,NA,NA,NA,2007
-Adelie,Torgersen,36.7,19.3,193,3450,female,2007
-Adelie,Torgersen,39.3,20.6,190,3650,male,2007
-Adelie,Torgersen,38.9,17.8,181,3625,female,2007
-Adelie,Torgersen,39.2,19.6,195,4675,male,2007
-Adelie,Torgersen,34.1,18.1,193,3475,NA,2007
-Adelie,Torgersen,42,20.2,190,4250,NA,2007
-Adelie,Torgersen,37.8,17.1,186,3300,NA,2007
-Adelie,Torgersen,37.8,17.3,180,3700,NA,2007
-Adelie,Torgersen,41.1,17.6,182,3200,female,2007
-Adelie,Torgersen,38.6,21.2,191,3800,male,2007
-Adelie,Torgersen,34.6,21.1,198,4400,male,2007
-Adelie,Torgersen,36.6,17.8,185,3700,female,2007
-Adelie,Torgersen,38.7,19,195,3450,female,2007
-Adelie,Torgersen,42.5,20.7,197,4500,male,2007
-Adelie,Torgersen,34.4,18.4,184,3325,female,2007
-Adelie,Torgersen,46,21.5,194,4200,male,2007
-Adelie,Biscoe,37.8,18.3,174,3400,female,2007
-Adelie,Biscoe,37.7,18.7,180,3600,male,2007
-Adelie,Biscoe,35.9,19.2,189,3800,female,2007
-Adelie,Biscoe,38.2,18.1,185,3950,male,2007
-Adelie,Biscoe,38.8,17.2,180,3800,male,2007
-Adelie,Biscoe,35.3,18.9,187,3800,female,2007
-Adelie,Biscoe,40.6,18.6,183,3550,male,2007
-Adelie,Biscoe,40.5,17.9,187,3200,female,2007
-Adelie,Biscoe,37.9,18.6,172,3150,female,2007
-Adelie,Biscoe,40.5,18.9,180,3950,male,2007
-Adelie,Dream,39.5,16.7,178,3250,female,2007
-Adelie,Dream,37.2,18.1,178,3900,male,2007
-Adelie,Dream,39.5,17.8,188,3300,female,2007
-Adelie,Dream,40.9,18.9,184,3900,male,2007
-Adelie,Dream,36.4,17,195,3325,female,2007
-Adelie,Dream,39.2,21.1,196,4150,male,2007
-Adelie,Dream,38.8,20,190,3950,male,2007
-Adelie,Dream,42.2,18.5,180,3550,female,2007
-Adelie,Dream,37.6,19.3,181,3300,female,2007
-Adelie,Dream,39.8,19.1,184,4650,male,2007
-Adelie,Dream,36.5,18,182,3150,female,2007
-Adelie,Dream,40.8,18.4,195,3900,male,2007
-Adelie,Dream,36,18.5,186,3100,female,2007
-Adelie,Dream,44.1,19.7,196,4400,male,2007
-Adelie,Dream,37,16.9,185,3000,female,2007
-Adelie,Dream,39.6,18.8,190,4600,male,2007
-Adelie,Dream,41.1,19,182,3425,male,2007
-Adelie,Dream,37.5,18.9,179,2975,NA,2007
-Adelie,Dream,36,17.9,190,3450,female,2007
-Adelie,Dream,42.3,21.2,191,4150,male,2007
-Adelie,Biscoe,39.6,17.7,186,3500,female,2008
-Adelie,Biscoe,40.1,18.9,188,4300,male,2008
-Adelie,Biscoe,35,17.9,190,3450,female,2008
-Adelie,Biscoe,42,19.5,200,4050,male,2008
-Adelie,Biscoe,34.5,18.1,187,2900,female,2008
-Adelie,Biscoe,41.4,18.6,191,3700,male,2008
-Adelie,Biscoe,39,17.5,186,3550,female,2008
-Adelie,Biscoe,40.6,18.8,193,3800,male,2008
-Adelie,Biscoe,36.5,16.6,181,2850,female,2008
-Adelie,Biscoe,37.6,19.1,194,3750,male,2008
-Adelie,Biscoe,35.7,16.9,185,3150,female,2008
-Adelie,Biscoe,41.3,21.1,195,4400,male,2008
-Adelie,Biscoe,37.6,17,185,3600,female,2008
-Adelie,Biscoe,41.1,18.2,192,4050,male,2008
-Adelie,Biscoe,36.4,17.1,184,2850,female,2008
-Adelie,Biscoe,41.6,18,192,3950,male,2008
-Adelie,Biscoe,35.5,16.2,195,3350,female,2008
-Adelie,Biscoe,41.1,19.1,188,4100,male,2008
-Adelie,Torgersen,35.9,16.6,190,3050,female,2008
-Adelie,Torgersen,41.8,19.4,198,4450,male,2008
-Adelie,Torgersen,33.5,19,190,3600,female,2008
-Adelie,Torgersen,39.7,18.4,190,3900,male,2008
-Adelie,Torgersen,39.6,17.2,196,3550,female,2008
-Adelie,Torgersen,45.8,18.9,197,4150,male,2008
-Adelie,Torgersen,35.5,17.5,190,3700,female,2008
-Adelie,Torgersen,42.8,18.5,195,4250,male,2008
-Adelie,Torgersen,40.9,16.8,191,3700,female,2008
-Adelie,Torgersen,37.2,19.4,184,3900,male,2008
-Adelie,Torgersen,36.2,16.1,187,3550,female,2008
-Adelie,Torgersen,42.1,19.1,195,4000,male,2008
-Adelie,Torgersen,34.6,17.2,189,3200,female,2008
-Adelie,Torgersen,42.9,17.6,196,4700,male,2008
-Adelie,Torgersen,36.7,18.8,187,3800,female,2008
-Adelie,Torgersen,35.1,19.4,193,4200,male,2008
-Adelie,Dream,37.3,17.8,191,3350,female,2008
-Adelie,Dream,41.3,20.3,194,3550,male,2008
-Adelie,Dream,36.3,19.5,190,3800,male,2008
-Adelie,Dream,36.9,18.6,189,3500,female,2008
-Adelie,Dream,38.3,19.2,189,3950,male,2008
-Adelie,Dream,38.9,18.8,190,3600,female,2008
-Adelie,Dream,35.7,18,202,3550,female,2008
-Adelie,Dream,41.1,18.1,205,4300,male,2008
-Adelie,Dream,34,17.1,185,3400,female,2008
-Adelie,Dream,39.6,18.1,186,4450,male,2008
-Adelie,Dream,36.2,17.3,187,3300,female,2008
-Adelie,Dream,40.8,18.9,208,4300,male,2008
-Adelie,Dream,38.1,18.6,190,3700,female,2008
-Adelie,Dream,40.3,18.5,196,4350,male,2008
-Adelie,Dream,33.1,16.1,178,2900,female,2008
-Adelie,Dream,43.2,18.5,192,4100,male,2008
-Adelie,Biscoe,35,17.9,192,3725,female,2009
-Adelie,Biscoe,41,20,203,4725,male,2009
-Adelie,Biscoe,37.7,16,183,3075,female,2009
-Adelie,Biscoe,37.8,20,190,4250,male,2009
-Adelie,Biscoe,37.9,18.6,193,2925,female,2009
-Adelie,Biscoe,39.7,18.9,184,3550,male,2009
-Adelie,Biscoe,38.6,17.2,199,3750,female,2009
-Adelie,Biscoe,38.2,20,190,3900,male,2009
-Adelie,Biscoe,38.1,17,181,3175,female,2009
-Adelie,Biscoe,43.2,19,197,4775,male,2009
-Adelie,Biscoe,38.1,16.5,198,3825,female,2009
-Adelie,Biscoe,45.6,20.3,191,4600,male,2009
-Adelie,Biscoe,39.7,17.7,193,3200,female,2009
-Adelie,Biscoe,42.2,19.5,197,4275,male,2009
-Adelie,Biscoe,39.6,20.7,191,3900,female,2009
-Adelie,Biscoe,42.7,18.3,196,4075,male,2009
-Adelie,Torgersen,38.6,17,188,2900,female,2009
-Adelie,Torgersen,37.3,20.5,199,3775,male,2009
-Adelie,Torgersen,35.7,17,189,3350,female,2009
-Adelie,Torgersen,41.1,18.6,189,3325,male,2009
-Adelie,Torgersen,36.2,17.2,187,3150,female,2009
-Adelie,Torgersen,37.7,19.8,198,3500,male,2009
-Adelie,Torgersen,40.2,17,176,3450,female,2009
-Adelie,Torgersen,41.4,18.5,202,3875,male,2009
-Adelie,Torgersen,35.2,15.9,186,3050,female,2009
-Adelie,Torgersen,40.6,19,199,4000,male,2009
-Adelie,Torgersen,38.8,17.6,191,3275,female,2009
-Adelie,Torgersen,41.5,18.3,195,4300,male,2009
-Adelie,Torgersen,39,17.1,191,3050,female,2009
-Adelie,Torgersen,44.1,18,210,4000,male,2009
-Adelie,Torgersen,38.5,17.9,190,3325,female,2009
-Adelie,Torgersen,43.1,19.2,197,3500,male,2009
-Adelie,Dream,36.8,18.5,193,3500,female,2009
-Adelie,Dream,37.5,18.5,199,4475,male,2009
-Adelie,Dream,38.1,17.6,187,3425,female,2009
-Adelie,Dream,41.1,17.5,190,3900,male,2009
-Adelie,Dream,35.6,17.5,191,3175,female,2009
-Adelie,Dream,40.2,20.1,200,3975,male,2009
-Adelie,Dream,37,16.5,185,3400,female,2009
-Adelie,Dream,39.7,17.9,193,4250,male,2009
-Adelie,Dream,40.2,17.1,193,3400,female,2009
-Adelie,Dream,40.6,17.2,187,3475,male,2009
-Adelie,Dream,32.1,15.5,188,3050,female,2009
-Adelie,Dream,40.7,17,190,3725,male,2009
-Adelie,Dream,37.3,16.8,192,3000,female,2009
-Adelie,Dream,39,18.7,185,3650,male,2009
-Adelie,Dream,39.2,18.6,190,4250,male,2009
-Adelie,Dream,36.6,18.4,184,3475,female,2009
-Adelie,Dream,36,17.8,195,3450,female,2009
-Adelie,Dream,37.8,18.1,193,3750,male,2009
-Adelie,Dream,36,17.1,187,3700,female,2009
-Adelie,Dream,41.5,18.5,201,4000,male,2009
-Gentoo,Biscoe,46.1,13.2,211,4500,female,2007
-Gentoo,Biscoe,50,16.3,230,5700,male,2007
-Gentoo,Biscoe,48.7,14.1,210,4450,female,2007
-Gentoo,Biscoe,50,15.2,218,5700,male,2007
-Gentoo,Biscoe,47.6,14.5,215,5400,male,2007
-Gentoo,Biscoe,46.5,13.5,210,4550,female,2007
-Gentoo,Biscoe,45.4,14.6,211,4800,female,2007
-Gentoo,Biscoe,46.7,15.3,219,5200,male,2007
-Gentoo,Biscoe,43.3,13.4,209,4400,female,2007
-Gentoo,Biscoe,46.8,15.4,215,5150,male,2007
-Gentoo,Biscoe,40.9,13.7,214,4650,female,2007
-Gentoo,Biscoe,49,16.1,216,5550,male,2007
-Gentoo,Biscoe,45.5,13.7,214,4650,female,2007
-Gentoo,Biscoe,48.4,14.6,213,5850,male,2007
-Gentoo,Biscoe,45.8,14.6,210,4200,female,2007
-Gentoo,Biscoe,49.3,15.7,217,5850,male,2007
-Gentoo,Biscoe,42,13.5,210,4150,female,2007
-Gentoo,Biscoe,49.2,15.2,221,6300,male,2007
-Gentoo,Biscoe,46.2,14.5,209,4800,female,2007
-Gentoo,Biscoe,48.7,15.1,222,5350,male,2007
-Gentoo,Biscoe,50.2,14.3,218,5700,male,2007
-Gentoo,Biscoe,45.1,14.5,215,5000,female,2007
-Gentoo,Biscoe,46.5,14.5,213,4400,female,2007
-Gentoo,Biscoe,46.3,15.8,215,5050,male,2007
-Gentoo,Biscoe,42.9,13.1,215,5000,female,2007
-Gentoo,Biscoe,46.1,15.1,215,5100,male,2007
-Gentoo,Biscoe,44.5,14.3,216,4100,NA,2007
-Gentoo,Biscoe,47.8,15,215,5650,male,2007
-Gentoo,Biscoe,48.2,14.3,210,4600,female,2007
-Gentoo,Biscoe,50,15.3,220,5550,male,2007
-Gentoo,Biscoe,47.3,15.3,222,5250,male,2007
-Gentoo,Biscoe,42.8,14.2,209,4700,female,2007
-Gentoo,Biscoe,45.1,14.5,207,5050,female,2007
-Gentoo,Biscoe,59.6,17,230,6050,male,2007
-Gentoo,Biscoe,49.1,14.8,220,5150,female,2008
-Gentoo,Biscoe,48.4,16.3,220,5400,male,2008
-Gentoo,Biscoe,42.6,13.7,213,4950,female,2008
-Gentoo,Biscoe,44.4,17.3,219,5250,male,2008
-Gentoo,Biscoe,44,13.6,208,4350,female,2008
-Gentoo,Biscoe,48.7,15.7,208,5350,male,2008
-Gentoo,Biscoe,42.7,13.7,208,3950,female,2008
-Gentoo,Biscoe,49.6,16,225,5700,male,2008
-Gentoo,Biscoe,45.3,13.7,210,4300,female,2008
-Gentoo,Biscoe,49.6,15,216,4750,male,2008
-Gentoo,Biscoe,50.5,15.9,222,5550,male,2008
-Gentoo,Biscoe,43.6,13.9,217,4900,female,2008
-Gentoo,Biscoe,45.5,13.9,210,4200,female,2008
-Gentoo,Biscoe,50.5,15.9,225,5400,male,2008
-Gentoo,Biscoe,44.9,13.3,213,5100,female,2008
-Gentoo,Biscoe,45.2,15.8,215,5300,male,2008
-Gentoo,Biscoe,46.6,14.2,210,4850,female,2008
-Gentoo,Biscoe,48.5,14.1,220,5300,male,2008
-Gentoo,Biscoe,45.1,14.4,210,4400,female,2008
-Gentoo,Biscoe,50.1,15,225,5000,male,2008
-Gentoo,Biscoe,46.5,14.4,217,4900,female,2008
-Gentoo,Biscoe,45,15.4,220,5050,male,2008
-Gentoo,Biscoe,43.8,13.9,208,4300,female,2008
-Gentoo,Biscoe,45.5,15,220,5000,male,2008
-Gentoo,Biscoe,43.2,14.5,208,4450,female,2008
-Gentoo,Biscoe,50.4,15.3,224,5550,male,2008
-Gentoo,Biscoe,45.3,13.8,208,4200,female,2008
-Gentoo,Biscoe,46.2,14.9,221,5300,male,2008
-Gentoo,Biscoe,45.7,13.9,214,4400,female,2008
-Gentoo,Biscoe,54.3,15.7,231,5650,male,2008
-Gentoo,Biscoe,45.8,14.2,219,4700,female,2008
-Gentoo,Biscoe,49.8,16.8,230,5700,male,2008
-Gentoo,Biscoe,46.2,14.4,214,4650,NA,2008
-Gentoo,Biscoe,49.5,16.2,229,5800,male,2008
-Gentoo,Biscoe,43.5,14.2,220,4700,female,2008
-Gentoo,Biscoe,50.7,15,223,5550,male,2008
-Gentoo,Biscoe,47.7,15,216,4750,female,2008
-Gentoo,Biscoe,46.4,15.6,221,5000,male,2008
-Gentoo,Biscoe,48.2,15.6,221,5100,male,2008
-Gentoo,Biscoe,46.5,14.8,217,5200,female,2008
-Gentoo,Biscoe,46.4,15,216,4700,female,2008
-Gentoo,Biscoe,48.6,16,230,5800,male,2008
-Gentoo,Biscoe,47.5,14.2,209,4600,female,2008
-Gentoo,Biscoe,51.1,16.3,220,6000,male,2008
-Gentoo,Biscoe,45.2,13.8,215,4750,female,2008
-Gentoo,Biscoe,45.2,16.4,223,5950,male,2008
-Gentoo,Biscoe,49.1,14.5,212,4625,female,2009
-Gentoo,Biscoe,52.5,15.6,221,5450,male,2009
-Gentoo,Biscoe,47.4,14.6,212,4725,female,2009
-Gentoo,Biscoe,50,15.9,224,5350,male,2009
-Gentoo,Biscoe,44.9,13.8,212,4750,female,2009
-Gentoo,Biscoe,50.8,17.3,228,5600,male,2009
-Gentoo,Biscoe,43.4,14.4,218,4600,female,2009
-Gentoo,Biscoe,51.3,14.2,218,5300,male,2009
-Gentoo,Biscoe,47.5,14,212,4875,female,2009
-Gentoo,Biscoe,52.1,17,230,5550,male,2009
-Gentoo,Biscoe,47.5,15,218,4950,female,2009
-Gentoo,Biscoe,52.2,17.1,228,5400,male,2009
-Gentoo,Biscoe,45.5,14.5,212,4750,female,2009
-Gentoo,Biscoe,49.5,16.1,224,5650,male,2009
-Gentoo,Biscoe,44.5,14.7,214,4850,female,2009
-Gentoo,Biscoe,50.8,15.7,226,5200,male,2009
-Gentoo,Biscoe,49.4,15.8,216,4925,male,2009
-Gentoo,Biscoe,46.9,14.6,222,4875,female,2009
-Gentoo,Biscoe,48.4,14.4,203,4625,female,2009
-Gentoo,Biscoe,51.1,16.5,225,5250,male,2009
-Gentoo,Biscoe,48.5,15,219,4850,female,2009
-Gentoo,Biscoe,55.9,17,228,5600,male,2009
-Gentoo,Biscoe,47.2,15.5,215,4975,female,2009
-Gentoo,Biscoe,49.1,15,228,5500,male,2009
-Gentoo,Biscoe,47.3,13.8,216,4725,NA,2009
-Gentoo,Biscoe,46.8,16.1,215,5500,male,2009
-Gentoo,Biscoe,41.7,14.7,210,4700,female,2009
-Gentoo,Biscoe,53.4,15.8,219,5500,male,2009
-Gentoo,Biscoe,43.3,14,208,4575,female,2009
-Gentoo,Biscoe,48.1,15.1,209,5500,male,2009
-Gentoo,Biscoe,50.5,15.2,216,5000,female,2009
-Gentoo,Biscoe,49.8,15.9,229,5950,male,2009
-Gentoo,Biscoe,43.5,15.2,213,4650,female,2009
-Gentoo,Biscoe,51.5,16.3,230,5500,male,2009
-Gentoo,Biscoe,46.2,14.1,217,4375,female,2009
-Gentoo,Biscoe,55.1,16,230,5850,male,2009
-Gentoo,Biscoe,44.5,15.7,217,4875,NA,2009
-Gentoo,Biscoe,48.8,16.2,222,6000,male,2009
-Gentoo,Biscoe,47.2,13.7,214,4925,female,2009
-Gentoo,Biscoe,NA,NA,NA,NA,NA,2009
-Gentoo,Biscoe,46.8,14.3,215,4850,female,2009
-Gentoo,Biscoe,50.4,15.7,222,5750,male,2009
-Gentoo,Biscoe,45.2,14.8,212,5200,female,2009
-Gentoo,Biscoe,49.9,16.1,213,5400,male,2009
-Chinstrap,Dream,46.5,17.9,192,3500,female,2007
-Chinstrap,Dream,50,19.5,196,3900,male,2007
-Chinstrap,Dream,51.3,19.2,193,3650,male,2007
-Chinstrap,Dream,45.4,18.7,188,3525,female,2007
-Chinstrap,Dream,52.7,19.8,197,3725,male,2007
-Chinstrap,Dream,45.2,17.8,198,3950,female,2007
-Chinstrap,Dream,46.1,18.2,178,3250,female,2007
-Chinstrap,Dream,51.3,18.2,197,3750,male,2007
-Chinstrap,Dream,46,18.9,195,4150,female,2007
-Chinstrap,Dream,51.3,19.9,198,3700,male,2007
-Chinstrap,Dream,46.6,17.8,193,3800,female,2007
-Chinstrap,Dream,51.7,20.3,194,3775,male,2007
-Chinstrap,Dream,47,17.3,185,3700,female,2007
-Chinstrap,Dream,52,18.1,201,4050,male,2007
-Chinstrap,Dream,45.9,17.1,190,3575,female,2007
-Chinstrap,Dream,50.5,19.6,201,4050,male,2007
-Chinstrap,Dream,50.3,20,197,3300,male,2007
-Chinstrap,Dream,58,17.8,181,3700,female,2007
-Chinstrap,Dream,46.4,18.6,190,3450,female,2007
-Chinstrap,Dream,49.2,18.2,195,4400,male,2007
-Chinstrap,Dream,42.4,17.3,181,3600,female,2007
-Chinstrap,Dream,48.5,17.5,191,3400,male,2007
-Chinstrap,Dream,43.2,16.6,187,2900,female,2007
-Chinstrap,Dream,50.6,19.4,193,3800,male,2007
-Chinstrap,Dream,46.7,17.9,195,3300,female,2007
-Chinstrap,Dream,52,19,197,4150,male,2007
-Chinstrap,Dream,50.5,18.4,200,3400,female,2008
-Chinstrap,Dream,49.5,19,200,3800,male,2008
-Chinstrap,Dream,46.4,17.8,191,3700,female,2008
-Chinstrap,Dream,52.8,20,205,4550,male,2008
-Chinstrap,Dream,40.9,16.6,187,3200,female,2008
-Chinstrap,Dream,54.2,20.8,201,4300,male,2008
-Chinstrap,Dream,42.5,16.7,187,3350,female,2008
-Chinstrap,Dream,51,18.8,203,4100,male,2008
-Chinstrap,Dream,49.7,18.6,195,3600,male,2008
-Chinstrap,Dream,47.5,16.8,199,3900,female,2008
-Chinstrap,Dream,47.6,18.3,195,3850,female,2008
-Chinstrap,Dream,52,20.7,210,4800,male,2008
-Chinstrap,Dream,46.9,16.6,192,2700,female,2008
-Chinstrap,Dream,53.5,19.9,205,4500,male,2008
-Chinstrap,Dream,49,19.5,210,3950,male,2008
-Chinstrap,Dream,46.2,17.5,187,3650,female,2008
-Chinstrap,Dream,50.9,19.1,196,3550,male,2008
-Chinstrap,Dream,45.5,17,196,3500,female,2008
-Chinstrap,Dream,50.9,17.9,196,3675,female,2009
-Chinstrap,Dream,50.8,18.5,201,4450,male,2009
-Chinstrap,Dream,50.1,17.9,190,3400,female,2009
-Chinstrap,Dream,49,19.6,212,4300,male,2009
-Chinstrap,Dream,51.5,18.7,187,3250,male,2009
-Chinstrap,Dream,49.8,17.3,198,3675,female,2009
-Chinstrap,Dream,48.1,16.4,199,3325,female,2009
-Chinstrap,Dream,51.4,19,201,3950,male,2009
-Chinstrap,Dream,45.7,17.3,193,3600,female,2009
-Chinstrap,Dream,50.7,19.7,203,4050,male,2009
-Chinstrap,Dream,42.5,17.3,187,3350,female,2009
-Chinstrap,Dream,52.2,18.8,197,3450,male,2009
-Chinstrap,Dream,45.2,16.6,191,3250,female,2009
-Chinstrap,Dream,49.3,19.9,203,4050,male,2009
-Chinstrap,Dream,50.2,18.8,202,3800,male,2009
-Chinstrap,Dream,45.6,19.4,194,3525,female,2009
-Chinstrap,Dream,51.9,19.5,206,3950,male,2009
-Chinstrap,Dream,46.8,16.5,189,3650,female,2009
-Chinstrap,Dream,45.7,17,195,3650,female,2009
-Chinstrap,Dream,55.8,19.8,207,4000,male,2009
-Chinstrap,Dream,43.5,18.1,202,3400,female,2009
-Chinstrap,Dream,49.6,18.2,193,3775,male,2009
-Chinstrap,Dream,50.8,19,210,4100,male,2009
-Chinstrap,Dream,50.2,18.7,198,3775,female,2009

utils.R

@@ -0,0 +1,4 @@
+
+library(tidyverse)
+library(duckdbfs)
+