R：将大型列表转换为数据框架并保持零值

Question

我有一个称为“数据”的对象，其中包含有关房地产属性的信息：

> class(data)
[1] "data.frame"`
> dim(data)
[1] 351  13

whitin列，有一个称为“地址”的对象，

> class(data$addresses)
[1] "character"

我使用了函数cartociudad_geocode（）来获取地址的最大地址：哪个地址：

geo_info<-sapply(data$addresses, cartociudad_geocode, on.error="warn")

哪个地址 ：导致了351个元素的大量列表，并提供了所有被搜索的条件的地理信息。那些没有出现为 null 的人：

> dput(head(geo_info, 4))
list(`Valencia, Avenida Nº S.n. Planta 1 Castellon De La Plana/Castello De La Plana` = structure(list(
    id = "2061380170886", province = "Badajoz", comunidadAutonoma = "Extremadura", 
    muni = "Valdetorres", type = "portal", address = "PLAN PARCIAL Nº 1", 
    postalCode = "06474", poblacion = "Valdetorres", geom = "POINT(-6.07339711488708 38.91670317033)", 
    tip_via = "BARRIO", lat = 38.91670317033, lng = -6.07339711488708, 
    portalNumber = "0", stateMsg = "Resultado exacto de la búsqueda", 
    extension = "", state = "1", countryCode = "011"), row.names = c(NA, 
-1L), class = "data.frame"), `Mayor Nº S.n. Planta 1 Castellon De La Plana/Castello De La Plana` = structure(list(
    id = "2061380170886", province = "Badajoz", comunidadAutonoma = "Extremadura", 
    muni = "Valdetorres", type = "portal", address = "PLAN PARCIAL Nº 1", 
    postalCode = "06474", poblacion = "Valdetorres", geom = "POINT(-6.07339711488708 38.91670317033)", 
    tip_via = "BARRIO", lat = 38.91670317033, lng = -6.07339711488708, 
    portalNumber = "0", stateMsg = "Resultado exacto de la búsqueda", 
    extension = "", state = "1", countryCode = "011"), row.names = c(NA, 
-1L), class = "data.frame"), `Notario Mas, Plaza Nº 3 Piso 1º Castellon De La Plana` = structure(list(
    id = "120400001216", province = "Castellón/Castelló", comunidadAutonoma = "Comunitat Valenciana", 
    muni = "Castelló de la Plana", type = "portal", address = "NOTARIO MAS", 
    geom = "POINT(-0.0414310339999702 39.9877939630001)", tip_via = "PLAZA", 
    lat = 39.9877939630001, lng = -0.0414310339999702, portalNumber = "5", 
    stateMsg = "Resultado exacto de la búsqueda", state = "1", 
    countryCode = "011"), row.names = c(NA, -1L), class = "data.frame"), 
    `Mayor Nº 56 Piso 1º Castellon De La Plana` = NULL)`

我的目标是：将 geo_info 转换为数据框架，同时保持 null 行。