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.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/county/01_county-shape-file.dbf filter=lfs diff=lfs merge=lfs -text
+data/county/01_county-shape-file.shp filter=lfs diff=lfs merge=lfs -text
+data/county/df_county.rds filter=lfs diff=lfs merge=lfs -text
+data/county/df_county_info.rds filter=lfs diff=lfs merge=lfs -text
+data/zcta-to-fips-county.rds filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +1,6 @@
 ---
 title: TN
-emoji: 🏢
-colorFrom: green
-colorTo: gray
+app_file: app.py
 sdk: gradio
 sdk_version: 4.43.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.R

@@ -0,0 +1,238 @@
+library(tidyverse)
+library(data.table)
+library(dtplyr)
+library(aws.s3)
+library(glue)
+library(conflicted)
+library(furrr)
+library(jsonlite)
+library(arrow)
+library(ggplot2)
+library(ggmap)
+library(maps)
+library(dplyr)
+
+library(sf)
+library(leaflet)
+conflicts_prefer(dplyr::filter)
+
+cbg_geographic_data <- 
+  read_csv("data/cbg_geographic_data.csv") %>% 
+  as_tibble()
+
+df_weekly <- 
+  read_parquet("data/mobility/tn_weekly_mobility_2019.parquet") %>% 
+  as_tibble() 
+
+dollar_gen <- 
+  df_weekly %>% 
+  filter(brands != "") %>% 
+  group_by(date,street_address,city,region,postal_code,safegraph_brand_ids, brands) %>% 
+  summarize(n = n()) %>% 
+  ungroup() %>%
+  arrange(desc(n)) %>%
+  filter(grepl(x = brands, "Dollar Gen"))
+
+top_categories <- c(
+  "Restaurants and Other Eating Places",                                                   
+  "Gasoline Stations",
+  "Building Material and Supplies Dealers" ,
+  "Automotive Parts, Accessories, and Tire Stores",
+  "Automobile Dealers",
+  "Automotive Repair and Maintenance",
+  "Electronics and Appliance Stores",
+  "Wired and Wireless Telecommunications Carriers",
+  "Other Motor Vehicle Dealers",
+  "Offices of Real Estate Agents and Brokers",
+  "Technical and Trade Schools" ,
+  "Accounting, Tax Preparation, Bookkeeping, and Payroll Services",
+  "Employment Services",
+  "Automotive Equipment Rental and Leasing",
+  "Services to Buildings and Dwellings",
+  "Administration of Economic Programs",
+  "Support Activities for Road Transportation",
+  "Personal and Household Goods Repair and Maintenance",
+  "Machinery, Equipment, and Supplies Merchant Wholesalers",
+  "Building Equipment Contractors",
+  "Rail Transportation",
+  "Professional and Commercial Equipment and Supplies Merchant Wholesalers",
+  "Commercial and Industrial Machinery and Equipment Rental and Leasing",
+  "Electric Power Generation, Transmission and Distribution",
+  "Activities Related to Credit Intermediation",
+  "Couriers and Express Delivery Services",
+  "Management of Companies and Enterprises",
+  "Support Activities for Air Transportation",
+  "Freight Transportation Arrangement",
+  "Chemical and Allied Products Merchant Wholesalers",
+  "Specialized Freight Trucking",
+  "Coating, Engraving, Heat Treating, and Allied Activities",
+  "Cable and Other Subscription Programming",
+  "Residential Building Construction",
+  "Clay Product and Refractory Manufacturing",
+  "Motor Vehicle and Motor Vehicle Parts and Supplies Merchant Wholesalers",
+  "Hardware Manufacturing",
+  "Building Finishing Contractors",
+  "Direct Selling Establishments",
+  "Architectural and Structural Metals Manufacturing",
+  "Petroleum and Petroleum Products Merchant Wholesalers",
+  "Foundation, Structure, and Building Exterior Contractors",
+  "Electronic and Precision Equipment Repair and Maintenance"
+)
+
+theme_tufte_revised <- function(base_size = 11, base_family = "Gill Sans", ticks = TRUE) {
+  
+  ret <- ggplot2::theme_bw(base_family = base_family, base_size = base_size) +
+    ggplot2::theme(
+      axis.line = ggplot2::element_line(color = 'black'),
+      axis.title.x = ggplot2::element_text(vjust = -0.3),
+      axis.title.y = ggplot2::element_text(vjust = 0.8),
+      legend.background = ggplot2::element_blank(),
+      legend.key = ggplot2::element_blank(),
+      legend.title = ggplot2::element_text(face="plain"),
+      panel.background = ggplot2::element_blank(),
+      panel.border = ggplot2::element_blank(),
+      panel.grid = ggplot2::element_blank(),
+      plot.background = ggplot2::element_blank(),
+      strip.background = ggplot2::element_blank()
+    )
+  
+  if (!ticks) {
+    ret <- ret + ggplot2::theme(axis.ticks = ggplot2::element_blank())
+  }
+  
+  ret
+}
+
+# UI
+ui <- navbarPage(
+  "Kora Customer Map Analysis",
+  
+  # Overview Page
+  tabPanel("Overview",
+           sidebarLayout(
+             sidebarPanel(
+               h4("Summary"),
+               textOutput("summary_text")
+             ),
+             mainPanel(
+               plotOutput("land_dist_plot"),
+               plotOutput("pop_dist_plot")
+             )
+           )),
+  
+  # Category Analysis Page
+  tabPanel("Category Analysis",
+           sidebarLayout(
+             sidebarPanel(
+               selectInput("category", "Choose a Category:", choices = top_categories),
+               h4("Category Summary")
+             ),
+             mainPanel(
+               #plotOutput("category_plot"),
+               plotOutput("category_bar_plot")
+             )
+           )),
+  
+  # Map Visualization Page
+  tabPanel("Map Visualization",
+           sidebarLayout(
+             sidebarPanel(
+               h4("Map Controls"),
+               checkboxInput("show_counties", "Show County Boundaries", TRUE)
+             ),
+             mainPanel(
+               leafletOutput("tn_map"),
+               leafletOutput("davidson_map")
+             )
+           ))
+)
+
+# Server
+server <- function(input, output) {
+  
+  # Summary Text
+  output$summary_text <- renderText({
+    paste("This Shiny app allows you to explore customer mobility data,",
+          "analyze various categories, and visualize data on an interactive map.")
+  })
+  
+  # Plot: Distribution of Land Amount
+  output$land_dist_plot <- renderPlot({
+    ggplot(cbg_geographic_data, aes(x = amount_land)) +
+      geom_histogram(binwidth = 500000, fill = "steelblue", color = "black") +
+      theme_minimal() +
+      labs(title = "Distribution of Land Amount", x = "Land Amount (sq units)", y = "Frequency")
+  })
+  
+  # Plot: Distribution of Population
+  output$pop_dist_plot <- renderPlot({
+    ggplot(cbg_geographic_data, aes(x = pop10)) +
+      geom_histogram(binwidth = 100, fill = "darkgreen", color = "black") +
+      theme_minimal() +
+      labs(title = "Distribution of Population in 2010", x = "Population", y = "Frequency")
+  })
+  
+  # Plot: Category Analysis (You can replace this logic to suit your actual data)
+  output$category_table <- renderTable({
+    dollar_gen %>%
+      filter(grepl(input$category, brands)) %>%
+      #select(date, street_address, city, region, postal_code, brands, n) %>%
+      arrange(desc(n))
+  })
+  
+  # Bar Plot: Population by County
+  output$category_bar_plot <- renderPlot({
+    ggplot(cbg_geographic_data %>% 
+             filter(!is.na(cntyname)) %>%
+             filter(pop10 > 3817 ) %>%
+             arrange(desc(pop10)), 
+           aes(x = cntyname, y = pop10)) +
+      geom_bar(stat = "identity", fill = "lightblue") +
+      theme_minimal() +
+      coord_flip() +
+      labs(title = "2010 Population by County", x = "County", y = "Population") +
+      theme(
+        text = element_text(size = 14),  # Larger font size for all text elements
+        axis.text.x = element_text(size = 12),  # Larger font for x-axis labels
+        axis.text.y = element_text(size = 12),  # Larger font for y-axis labels
+        axis.title.x = element_text(size = 16, face = "bold"),  # Larger, bold x-axis title
+        axis.title.y = element_text(size = 16, face = "bold"),  # Larger, bold y-axis title
+        plot.title = element_text(size = 18, face = "bold", hjust = 0.5)  # Centered and larger title
+      , height = 600, width = 800)
+  })
+  
+  # Tennessee Map
+  output$tn_map <- renderLeaflet({
+    counties_geo <- read_sf("data/county/01_county-shape-file.shp") %>%
+      filter(statefp == "47")
+    
+    leaflet(counties_geo) %>%
+      addTiles() %>%
+      addPolygons(color = "black", weight = 1, smoothFactor = 0.5, fillOpacity = 0.2)
+  })
+  
+  # Davidson County Map
+  output$davidson_map <- renderLeaflet({
+    
+    leaflet(cbg_geographic_data) %>%
+      addTiles() %>%
+      addCircles(lng = ~longitude, lat = ~latitude, weight = 1,
+                 radius = ~sqrt(pop10) * 50, popup = ~paste("Zip:", zcta5, "<br> Population:", pop10)) %>%
+      leafem::addMouseCoordinates() %>%
+      setMaxBounds(
+        lng1 = -90.3103,  # Westernmost point in Tennessee
+        lat1 = 34.9829,   # Southernmost point in Tennessee
+        lng2 = -81.6469,  # Easternmost point in Tennessee
+        lat2 = 36.6781    # Northernmost point in Tennessee
+      ) %>%
+      setView(
+        lng = -86.6602,   # Approximate center of Tennessee
+        lat = 35.8601,    # Approximate center of Tennessee
+        zoom = 7          # Adjust zoom level to fit most of the state
+      ) %>% 
+      leafem::addMouseCoordinates()
+  })
+}
+
+# Run the App
+shinyApp(ui = ui, server = server)

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+import pandas as pd
+import plotly.express as px
+import folium
+from folium.plugins import MousePosition
+from io import BytesIO
+import geopandas as gpd
+
+# Load datasets
+cbg_geographic_data = pd.read_csv("data/cbg_geographic_data.csv")
+df_weekly = pd.read_parquet("data/mobility/tn_weekly_mobility_2019.parquet")
+
+# Function to create the population distribution plot
+def plot_population_distribution():
+    fig = px.histogram(cbg_geographic_data, x='pop10', nbins=100, title="Distribution of Population in 2010")
+    return fig
+
+# Function to create the land distribution plot
+def plot_land_distribution():
+    fig = px.histogram(cbg_geographic_data, x='amount_land', nbins=50, title="Distribution of Land Amount")
+    return fig
+
+# Function to generate the population by county plot
+def plot_population_by_county():
+    county_data = cbg_geographic_data[cbg_geographic_data['pop10'] > 3817].sort_values(by="pop10", ascending=False)
+    fig = px.bar(county_data, x="cntyname", y="pop10", title="2010 Population by County", orientation='h')
+    return fig
+
+# Function to create a Folium map with county boundaries
+def create_map():
+    m = folium.Map(location=[35.8601, -86.6602], zoom_start=7)
+
+    counties_geo = gpd.read_file("data/county/01_county-shape-file.shp")
+    counties_geo = counties_geo[counties_geo['statefp'] == '47']  # Filter for Tennessee
+
+    folium.GeoJson(counties_geo).add_to(m)
+    MousePosition().add_to(m)
+
+    return m._repr_html_()
+
+# Gradio Interface
+with gr.Blocks() as app:
+    gr.Markdown("# Kora Customer Map Analysis")
+
+    with gr.Tab("Overview"):
+        gr.Markdown("## Summary: Explore customer mobility data, analyze categories, and visualize data.")
+        land_dist = gr.Plot(plot_land_distribution)
+        pop_dist = gr.Plot(plot_population_distribution)
+
+    with gr.Tab("Category Analysis"):
+        category_input = gr.Dropdown(choices=["Dollar Gen", "Restaurants and Other Eating Places", "Automotive Repair and Maintenance"], label="Choose a Category")
+        category_output = gr.Plot(plot_population_by_county)
+
+    with gr.Tab("Map Visualization"):
+        map_output = gr.HTML(create_map)
+
+app.launch(server_name="0.0.0.0", server_port=7860)

data/county/01_county-shape-file.dbf

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data/county/01_county-shape-file.prj

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data/county/01_county-shape-file.shp

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data/county/df_county.rds

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data/county/df_county_info.rds

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data/mobility/tn_weekly_mobility_2019.parquet

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data/shiny/davidson_metro.csv

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data/shiny/ev_stations_davidson_.csv

@@ -0,0 +1,99 @@
+"","unique_stations","station_name","latitude","longitude","street_address","zip","charger_type","num_outlets"
+"1","METRO NASHVILLE","METRO NASHVILLE FULTON GARAGE 1",36.153492,-86.76732,"800 2nd Avenue South","37210","Metro",2
+"2","Action Nissan","Action Nissan",36.110606,-86.743585,"307 Thompson Ln","37211","Car dealer",1
+"3","Downtown Nashville","Downtown Nashville Nissan",36.191053,-86.793132,"25 Vantage Way","37228","Car dealer",1
+"4","Vanderbilt University","Vanderbilt University - Surface Lot",36.148816,-86.799577,"124 21st Ave S","37212","Hospital",1
+"5","BMW NASHVILLE","BMW NASHVILLE STATION 01",36.104589,-86.761033,"4013 Armory Oaks Dr","37204","Car dealer",1
+"6","METRO NASHVILLE","METRO NASHVILLE MIDTOWN HILLS",36.137258,-86.788609,"1441 12th Ave S","37203","Metro",1
+"7","METRO NASHVILLE","METRO NASHVILLE LENTZ 3",36.15557,-86.813431,"2500 Charlotte Ave","37203","Metro",3
+"8","METRO NASHVILLE","METRO NASHVILLE FULTON GARAGE 5",36.153934,-86.767472,"1st Ave S","37210","Metro",1
+"9","METRO NASHVILLE","METRO NASHVILLE DOUGLAS HS 2",36.176117,-86.762044,"621 Howerton St","37206","Metro",1
+"10","GARAGE RAMP","GARAGE RAMP PINNACLE 1",36.160453,-86.774698,"150 3rd Ave S 150 3rd Ave South","37201","Other",2
+"11","Publix #1211","Publix #1211",36.12718,-86.84697,"4324 Harding Pike","37205","Grocery store",1
+"12","METRO NASHVILLE","METRO NASHVILLE MNFD STATION 19",36.156447,-86.815539,"524b 26th Ave N","37209","Metro",1
+"13","METRO NASHVILLE","METRO NASHVILLE BELLEVUE LIB",36.06949,-86.936094,"720 Baugh Rd","37221","Metro",1
+"14","METRO NASHVILLE","METRO NASHVILLE NFD 20",36.091731,-86.826441,"1630 Harding Pl","37215","Metro",1
+"15","LAKESBELLEVUE LAKESBELLEVUE","LAKESBELLEVUE LAKESBELLEVUE",36.079471,-86.908649,"200 Erin Ln","37221","Apartment complex",1
+"16","GERMANTOWN1 IMT","GERMANTOWN1 IMT GERMANTOWN2",36.17576,-86.784768,"1100 3rd Ave N","37208","Other",2
+"17","BNA EXPRESS","BNA EXPRESS STATION 01",36.110741,-86.672007,"115 Knapp Blvd","37217","Airport",2
+"18","Marriott Nashville","Marriott Nashville Airport",36.146941,-86.692287,"600 Marriott Drive","37214","Airport",1
+"19","Loews Vanderbilt","Loews Vanderbilt Hotel",36.150544,-86.802403,"2100 West End Avenue","37203","Hospital",1
+"20","Midtown Cafe","Midtown Cafe",36.151923,-86.79686,"102 19th Avenue S","37203","Other",1
+"21","Lipscomb University","Lipscomb University",36.105597,-86.798058,"One University park Drive","37204","Other",1
+"22","TERM GARAGE","TERM GARAGE 2 MNAA PARK GA 2",36.130497,-86.667155,"Nashville","37214","Airport",3
+"23","Hilton Nashville","Hilton Nashville Downtown - Tesla Destination",36.159962,-86.776722,"121 4th Ave S","37201","Tesla",1
+"24","Urban Cookhouse","Urban Cookhouse Nashville - Tesla Destination",36.150317,-86.796647,"1907 Broadway","37203","Tesla",1
+"25","The Hermitage","The Hermitage Hotel - Tesla Destination",36.163737,-86.782516,"231 6th Ave N","37219","Tesla",1
+"26","Gaylord Opryland","Gaylord Opryland Resort & Convention Center - Tesla Destination",36.211385,-86.695925,"2800 Opryland Dr","37214","Tesla",1
+"27","Thompson Nashville","Thompson Nashville - Tesla Destination",36.152342,-86.78409,"401 11th Ave S","37203","Tesla",1
+"28","Hotel Preston","Hotel Preston - Tesla Destination",36.141968,-86.70126,"733 Briley Pkwy","37217","Tesla",1
+"29","Fairfield Inn","Fairfield Inn & Suites Nashville Downtown/The Gulch - Tesla Destination",36.149966,-86.781738,"901 Division St","37203","Tesla",1
+"30","METRO NASHVILLE","METRO NASHVILLE 2",36.142179,-86.739249,"610 Murfreesboro Pike","37210","Metro",5
+"31","METRO NASHVILLE","METRO NASHVILLE WEST PRECINCT",36.151278,-86.855062,"5500 Charlotte Pike","37209","Metro",1
+"32","METRO NASHVILLE","METRO NASHVILLE SE LIBRARY 2",36.052522,-86.656983,"5264 Hickory Hollow Pl","37013","Metro",2
+"33","METRO NASHVILLE","METRO NASHVILLE HCH GARAGE 2",36.167275,-86.777527,"101 James Robertson Pkwy","37201","Metro",2
+"34","METRO NASHVILLE","METRO NASHVILLE FIRE STATION 33",36.067571,-86.630697,"2501 Forest View Dr","37013","Metro",1
+"35","Fairfield Inn","Fairfield Inn & Suites by Marriott Nashville - Tesla Destination",36.188914,-86.797442,"100 French Landing Dr","37228","Tesla",1
+"36","TERM GARAGE","TERM GARAGE 2 MNAA FAST DC 4",36.131522,-86.669243,"1 Terminal Dr","37214","Airport",4
+"37","METRO NASHVILLE","METRO NASHVILLE BELLEVUE ICE 4",36.081158,-86.951253,"7634 US-70S","37221","Metro",1
+"38","METRO NASHVILLE","METRO NASHVILLE BELLEVUE ICE 3",36.080881,-86.950813,"7640 US-70S","37221","Metro",1
+"39","Dalton Agency","Dalton Agency",36.176454992603,-86.754779240475,"926 Main Street
+Suite A","37206","Other",1
+"40","Eleven North","Eleven North",36.1597061,-86.7885981,"210 11th Avenue N","37203","Apartment complex",1
+"41","TriStar Southern","TriStar Southern Hills Medical Center",36.0767,-86.7212,"391 Wallace Road","37211","Hospital",1
+"42","Willowbrook Commons","Willowbrook Commons - Tesla Supercharger",36.110515,-86.723904,"61 East Thompson Lane","37211","Tesla",1
+"43","Publix #1680","Publix #1680",36.16331,-86.789734,"1010 Dr Martin L King Jr Blvd","37203","Grocery store",1
+"44","TVA DEMO","TVA DEMO 1 DEMO",36.150316,-86.685079,"26 Century Blvd","37214","Paid Parking",1
+"45","HAMPTON STATION","HAMPTON STATION 1",36.148162,-86.665805,"2825 Elm Hill Pike","37214","Other",1
+"46","TCMC B","TCMC B GARAGE CENTENNIAL B3",36.152315,-86.807851,"311 23rd Ave N","37203","Hospital",8
+"47","NASHVILLE VAMC","NASHVILLE VAMC NASH 1",36.140718,-86.803386,"1310 24th Ave S","37212","Hospital",4
+"48","WFM -","WFM - SOUTH WHOLEFOODS NAS1",36.156702,-86.788385,"1210 Broadway","37203","Grocery store",2
+"49","STOCKYARDS STOCKYARDS","STOCKYARDS STOCKYARDS 1",36.171467,-86.7815,"801 2nd Ave N","37201","Other",1
+"50","Rivertop Apartments","Rivertop Apartments",36.130606,-86.913108,"5800 River Rd","37209","Apartment complex",1
+"51","METRO NASHVILLE","METRO NASHVILLE NFD STATION 37",36.072424,-86.933537,"656 Colice Jeanne Rd","37221","Metro",1
+"52",NA,"NOGAS",36.115736,-86.752546,"2612 Winford Ave","37211","Other",1
+"53","IMT 8","IMT 8 SOUTH STATION 1",36.126212,-86.77796,"2405 8th Ave S","37204","Other",2
+"54","TERMINAL 1","TERMINAL 1 P2 STATION 3",36.133227,-86.666937,"Terminal Garage 1 140 BNA Park Dr","37214","Airport",9
+"55","Windsor Tower","Windsor Tower Condos",36.127888,-86.841022,"4215 Harding PIke","37205","Apartment complex",1
+"56","Hutton Hotel","Hutton Hotel - Tesla Destination",36.152907,-86.797009,"1808 W End Ave","37203","Tesla",1
+"57","ENDEAVOR REG","ENDEAVOR REG DEMONBREUN 1",36.154393,-86.78763,"1216 Demonbreun St","37203","Paid Parking",2
+"58","ENDEAVOR REG","ENDEAVOR REG MCGAVOCK 1",36.154798,-86.787408,"1213 McGavock St","37203","Paid Parking",1
+"59","PP 5TH&BROAD","PP 5TH&BROAD 5+B_RETAIL_B1_1",36.16067,-86.77889,"550 Broadway","37203","Paid Parking",8
+"60","PP 5TH&BROAD","PP 5TH&BROAD 5+B_OFFICE_05_1",36.16119,-86.77919,"134 5th Ave N","37219","Paid Parking",7
+"61","PP 5TH&BROAD","PP 5TH&BROAD 5+B_RESI02_9",36.160225,-86.78049,"612 Broadway","37203","Paid Parking",6
+"62","PP 5TH&BROAD","PP 5TH&BROAD 5+B_RESI02_8",36.160645,-86.78044,"118 7th Ave N","37203","Paid Parking",2
+"63","PP 5TH&BROAD","PP 5TH&BROAD 5+B_RESI02_3",36.160923,-86.78056,"620 Commerce St","37203","Paid Parking",1
+"64","ENDEAVOR REG","ENDEAVOR REG BROADWAY 1",36.154701,-86.789639,"1501 Broadway","37203","Paid Parking",1
+"65","METRO NASHVILLE","METRO NASHVILLE FULTON GARAGE 3",36.153683,-86.767461,"800 2nd Ave S","37210","Metro",3
+"66","METRO NASHVILLE","METRO NASHVILLE BELLEVUE ICE 1",36.080823,-86.95075,"7638 US-70S","37221","Metro",2
+"67","CHPT EVSE","CHPT EVSE NASHVILLE 2",36.184011,-86.634005,"2330 Jackson Downs Blvd","37214","Other",4
+"68","Taylor Place","Taylor Place",36.178294,-86.790855,"1411 Rep. John Lewis Way N","37208","Apartment complex",1
+"69","Music City","Music City Center",36.15644,-86.77903,"201 Fifth Avenue South","37203","Paid Parking",1
+"70","Publix #1665","Publix #1665",36.128822,-86.77856,"2223 8th Ave S","37204","Grocery store",1
+"71","BNA EXPRESS","BNA EXPRESS P6 STATION 1",36.132113,-86.668547,"1 Terminal Dr","37214","Airport",4
+"72","AVID AIRPORT","AVID AIRPORT AVID",36.144556,-86.675114,"44 Rachel Dr","37214","Airport",1
+"73","METRO NASHVILLE","METRO NASHVILLE NFD STATION 32",36.201006,-86.608176,"4248 Andrew Jackson Pkwy","37076","Metro",1
+"74","Vanderbilt Medical","Vanderbilt Medical Center - Dixie Place",36.14086,-86.801361,"2120 Dixie Place","37212","Hospital",1
+"75","Target -","Target - Tesla Supercharger",36.134009,-86.891923,"6814 Charlotte Pike","37209","Grocery store",1
+"76","BLCT VILLAGE","BLCT VILLAGE BELCOURT VILLAG",36.136593,-86.801711,"2111 Belcourt Ave","37212","Other",2
+"77","Willowbrook Commons","Willowbrook Commons",36.109803,-86.727162,"61 East Thompson Lane","37211","Other",1
+"78","One Metrocenter","One Metrocenter Apartments",36.190622,-86.795607,"45 Vantage Way","37228","Metro",1
+"79","The Shay","The Shay",36.1499978,-86.8209358,"9 City Place","37209","Apartment complex",1
+"80","STOCKYARDS STOCKYARDS","STOCKYARDS STOCKYARDS 2",36.17146,-86.781334,"2nd Ave N & Stockyard St SB","37201","Other",1
+"81","BNA12 BNA12","BNA12 BNA12 - 22",36.160506,-86.787571,"1010 Church St","37203","Airport",20
+"82","oneC1TY Nashville","oneC1TY Nashville",36.150654,-86.8199837,"8 City Blvd","37209","Apartment complex",1
+"83","Aertson Midtown","Aertson Midtown",36.148745906289,-86.798330227576,"905 20th Ave S","37203","Other",1
+"84","The Duke","The Duke of Nashville",36.1925886,-86.7893509,"281 Cumberland Bend #266","37228","Other",1
+"85","TARGET CORP","TARGET CORP NASHVILLE WEST1",36.134026,-86.89188,"6814 Charlotte Pike","37209","Grocery store",2
+"86","METRO NASHVILLE","METRO NASHVILLE DEC 911",36.129968,-86.791072,"2060 15th Ave","37212","Metro",1
+"87","Green Hills","Green Hills YMCA",36.103882,-86.820568,"4041 Hillsboro Cir","37215","Other",1
+"88","Opry Mills","Opry Mills",36.20312,-86.690325,"433 Opry Mills Dr","37214","Other",1
+"89","Nissan Stadium","Nissan Stadium",36.164227,-86.769632,"1 Titans Way","37213","Car dealer",1
+"90","Mapco Mart","Mapco Mart",36.134888,-86.779399,"1909 8th Ave S","37203","Grocery store",1
+"91","METRO NASHVILLE","METRO NASHVILLE STATION 3",36.142438,-86.741004,"600 Murfreesboro Pike","37210","Metro",1
+"92","Tennessee State","Tennessee State Parks - Radnor Lake State Park",36.06299,-86.80971,"1160 Otter Creek Rd","37220","Other",1
+"93","DK TIRES","DK TIRES STATION 1",36.283643,-86.696213,"530 Myatt Dr","37115","Other",1
+"94","PREMIER PARKING","PREMIER PARKING STATION5",36.144836,-86.767916,"1137 4th Ave S","37210","Paid Parking",2
+"95","PREMIER PARKING","PREMIER PARKING STATION1",36.145579,-86.768181,"1125 4th Ave S","37210","Paid Parking",4
+"96","MATHEWS 3RD","MATHEWS 3RD & LEA",36.154585,-86.771998,"615 3rd Ave S","37210","Other",1
+"97","Apex Glassworks","Apex Glassworks",36.1967754,-86.8090888,"541 Great Circle Road","37228","Apartment complex",1

data/zcta-to-fips-county.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e86789ad8bdea9e06a45ebbf28f80d250fcfe3591cbc987d1531910f5084c8eb
+size 1500986

google-analytics.html

@@ -0,0 +1,8 @@
+<!-- Global site tag (gtag.js) - Google Analytics -->
+<script async src="https://www.googletagmanager.com/gtag/js?id=G-Z9FW4EYGNC"></script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+  gtag('config', 'G-Z9FW4EYGNC');
+</script>

requirements.txt

@@ -0,0 +1,6 @@
+gradio
+pandas
+plotly
+folium
+geopandas
+pyarrow

rsconnect/shinyapps.io/greenautorwanda/kora.dcf

@@ -0,0 +1,12 @@
+name: kora
+title: app
+username: greenautorwanda
+account: greenautorwanda
+server: shinyapps.io
+hostUrl: https://api.shinyapps.io/v1
+appId: 12604401
+bundleId: 9077350
+url: https://greenautorwanda.shinyapps.io/kora/
+version: 1
+asMultiple: FALSE
+asStatic: FALSE