리플렛 맵에 csv 및 json 파일을 병합합니다 - 이상한 실수

Question

여러분, 도대체 무슨 일이 벌어지고 있는지 잘 모릅니다. 나는 전에 충분한 전단지를 만들었고 그런 문제가 없었습니다. 조금 충격을 받았다. 매우 간단한 작업.

이 결과 ... 상태로

# US Adult Obesity 2016 

library(rgdal) 
library(sp) 
library(leaflet) 
library(geojsonio) 
library(RColorBrewer) 
library(dplyr) 

# Set working directory 
setwd("C:/~/App US Adult Obesity") 

# Read csv 
obesity <- read.csv("US Adult Obesity.csv", header = TRUE) 

# Read geojson file 
states <- geojson_read("gz_2010_us_040_00_500k.json", what = "sp") 
View(states) 

# Match data 
obesity.map.2016 <- merge(states, obesity, by.x = "NAME", by.y = "State") 
class(obesity.map.2016) 
View(obesity.map.2016) 

# Create a palette 
obesity$Year.2016 <- as.numeric(as.character(obesity$Year.2016)) 
pal <- colorBin("Reds", c(22, 38), na.color = "#808080") 
      #, alpha = FALSE, reverse = FALSE) 


# Create a popup 
state_popup <- paste0("<strong>State: </strong>", 
        obesity$state, 
        "<br><strong>% of adult obesity in 2016: </strong>", 
        obesity$Year.2016) 

# Create a map 
leaflet(obesity.map.2016) %>% 
addProviderTiles(providers$Stamen.TonerLite) %>% 
setView(lng = -98.583, lat = 39.833, zoom = 4) %>% 
addPolygons(color = "#444444", weight = 1, 
      # opacity = 0.5, 
      fillOpacity = 0.7, 
      fillColor = ~pal(obesity$Year.2016), 
      popup = state_popup) %>% 
addLegend("bottomright", pal = pal, values = ~obesity$Year.2016, 
opacity = 1, 
     title = "US Adult Obesity in 2016 by State") 

을 .csv 및 .json 파일과 일치하지 수, 나는 캘리포니아에서 미네소타 데이터를 가지고있다. 보기가 일치하지 않는다고 나에게 50 개의 주 + DC가 있습니다. 어떻게하는지 잊어 버렸습니다. 내 바보 같은 실수에 대한 암시가 있습니까?

Answer 1

개인적으로 해결되었습니다. 내가 df가 아닌 csv를 사용하여 값을 망쳤다.

# US Adult Obesity 2016 

library(rgdal) 
library(sp) 
library(leaflet) 
library(geojsonio) 

# Set working directory 
setwd("C:/~US Adult Obesity") 

# Read csv, which was created specifically 
obesity <- read.csv("US Adult Obesity.csv", header = TRUE) 

# Read geojson file 
states <- geojson_read("gz_2010_us_040_00_500k.json", what = "sp") 
# View(states) 

# Shape file - cb_2016_us_state_500k.shp 
# states <- readOGR(dsn = "C:/DC/IFC/My Shiny apps/App US Adult Obesity", 
#     layer = "cb_2016_us_state_500k", 
#     encoding = "UTF-8", verbose = FALSE) 

# Match data 
obesity.map.2016 <- merge(states, obesity, by = "NAME") 
class(obesity.map.2016) 
View(obesity.map.2016) 

# Create a palette 
obesity.map.2016$Year.2016 <- as.numeric(as.character(obesity.map.2016 
$Year.2016)) 
pal <- colorBin("Reds", c(22, 38), na.color = "#808080") 
      #, alpha = FALSE, reverse = FALSE) 


# Create a popup 
state_popup <- paste0("<strong>State: </strong>", 
        obesity.map.2016$NAME, 
        "<br><strong>% of adult obesity in 2016: </strong>", 
        obesity.map.2016$Year.2016) 

# Create a map 
leaflet(obesity.map.2016) %>% 
addProviderTiles(providers$Stamen.TonerLite) %>% 
setView(lng = -98.583, lat = 39.833, zoom = 4) %>% 
addPolygons(color = "#444444", weight = 1, 
      # opacity = 0.5, 
      fillOpacity = 0.7, 
      fillColor = ~pal(obesity.map.2016$Year.2016), 
      popup = state_popup) %>% 
addLegend("bottomright", pal = pal, values = ~obesity.map.2016$Year.2016, 
     opacity = 1, 
     title = "US Adult Obesity in 2016 by State (%)")