Я пытаюсь построить базовую базу данных на Leaflet. Данные csv с "Artist" "Address" "lat" "Lon"
structure(list(Artist = structure(1:6, .Label = c("50 Cent",
"A Tribe Called Quest", "Aesop Rock", "B.I.G.", "Beastie Boys",
"Big Daddy Kane"), class = "factor"), Address = structure(c(1L,
4L, 2L, 3L, 1L, 1L), .Label = c("", "45 JOHN STREET SUITE 711 NEW YORK, NEW YORK, 10038 ",
"Crown Heights", "Linden Boulevard and S192nd"), class = "factor"),
Lng = c(-73.79191, 73.759296, -74.007918, -73.963667, -73.910054,
-73.941774), lat = c(40.680859, 40.692427, 40.709348, 40.682806,
42.02039, 40.687218), Base.of.Operations = structure(c(4L,
2L, 3L, 1L, 1L, 1L), .Label = c("Brooklyn", "Jamaica", "Lower East-Side",
"South Jamaica"), class = "factor"), Significance = structure(c(3L,
5L, 2L, 4L, 1L, 1L), .Label = c("", "First place he recorded, El-Ps studio Definitive Records.",
"Grew Up", "Home", "Where \"Check the Rhyme\" was Shot"), class = "factor"),
Date.of.first.release = structure(c(3L, 4L, 1L, 6L, 2L, 5L
), .Label = c("11/1/1999", "11/15/1986", "2/6/2003", "4/17/1990",
"6/28/1988", "9/13/1994"), class = "factor"), X = c(NA, NA,
NA, NA, NA, NA)), class = "data.frame", row.names = c(NA,
-6L))
Я пытался использовать его как CSV, tibble, data.frame и выбирать отдельные столбцы, но он отвечаетчто столбец "Lon" не является объектом.
library(dplyr)
library(leaflet)
library(sp)
"example" <- read_csv("database.csv", T)
df <- tibble("example")
map <- leaflet(df) %>%
addTiles() %>%
setView(lat=40.742054, lng=-73.769417, zoom = 9) %>%
addMarkers(df)
map
Я попытался вызвать столбцы в addMarkers () и все еще получил ошибку.
database <- read.csv("map.csv")
db <- tibble(database)
map <- leaflet(db) %>%
addTiles() %>%
setView(lat=40.742054, lng=-73.769417, zoom = 9) %>%
addMarkers(lng = ~Lng, lat = ~lat)
Result
Error in eval(f[[2]], metaData(data), environment(f)) :
object 'Lng' not found
Что за что