小编Joh*_*mas的帖子

因此，根据这篇文章，我使用 ggplot 创建了纽约行政区的地图

我有一个看起来像这样的数据集，称为boroughs_personal

borough    count
Brooklyn     211
Manhattan     12
Queens         1

因此，我将其加入到地图数据中，与上面的帖子类似，它就像一个梦想。

# download and extract data
bb <- getbb("New York City, New York")

boundaries <- opq(bbox = bb) %>% 
  add_osm_feature(key = "boundary", value = "administrative") %>% 
  osmdata_sf() %>% 
  unname_osmdata_sf()

boroughs <- boundaries[["osm_multipolygons"]] %>% 
  filter(name %in% c("Manhattan", "The Bronx", "Brooklyn", "Queens", "Staten Island")) %>% 
  left_join(boroughs_personal , by = c('name' = 'borough'))

ggplot() +
  geom_sf(data = boroughs, aes(fill = count))+
  ##guides(fill=FALSE) + 
  scale_fill_continuous(low = "lightblue", high = …

所以我在雪花中有如下数据：

   Question       Answer    ID
First name?         John   001
 Last name?        Smith   001
First name?         Avon   002
 Last name?    Barksdale   002
First name?     Stringer   003
 Last name?         Bell   003

无论如何，CONCATENATE这些对以下内容有影响吗？

ID       Full_Name
001     John Smith
002 Avon Barksdale
003  Stringer Bell