arraytable (objecttable) fails when the argument is a nested table

I wanted to see the json file corresponding to a dataframe that has dataframes as elements in one of the columns.

3×3 DataFrame
 Row │ f       oc     sdf
     │ String  Int64  DataFrame
─────┼──────────────────────────────
   1 │ f1          1  3×2 DataFrame
   2 │ f2          2  2×2 DataFrame
   3 │ f3          3  3×2 DataFrame

I have previously verified that

julia> Tables.istable(dfn)
true

but I get this result

julia> objecttable(dfn)
ERROR: ArgumentError: DataFrame doesn't have a defined `StructTypes.StructType`
Stacktrace:
...

I wonder if it is possible to manage this type of structures

if i use jsontable on this string (http://bl.ocks.org/nautat/4085017)

jdata = "[
    {
        \"name\":\"bob\",
        \"salary\":13000,
        \"friends\":[
            {
                \"name\": \"sarah\",
                \"salary\":10000
            },
            {
                \"name\": \"bill\",
                \"salary\":5000
            }
        ]
    },
    {
        \"name\":\"marge\",
        \"salary\":10000,
        \"friends\":[
            {
                \"name\": \"rhonda\",
                \"salary\":10000
            },
            {
                \"name\": \"mike\",
                \"salary\":5000,
                \"hobbies\":[
                    {
                        \"name\":\"surfing\",
                        \"frequency\":10
                    },
                    {
                        \"name\":\"surfing\",
                        \"frequency\":15
                    }
                ]
            }
        ]
    },
    {
        \"name\":\"joe\",
        \"salary\":10000,
        \"friends\":[
            {
                \"name\": \"harry\",
                \"salary\":10000
            },
            {
                \"name\": \"sally\",
                \"salary\":5000
            }
        ]
    }
]"

and then i try to get the dataframe

julia> jsontable(jdata)
JSONTables.Table{false, JSON3.Array{JSON3.Object, Base.CodeUnits{UInt8, String}, Vector{UInt64}}}([:name, :salary, :friends], Dict{Symbol, Type}(:name => String, :salary => Int64, :friends => JSON3.Array{JSON3.Object, Base.CodeUnits{UInt8, String}, SubArray{UInt64, 1, Vector{UInt64}, Tuple{UnitRange{Int64}}, true}}), JSON3.Object[{
...



julia> DataFrame(jsontable(jdata))
3×3 DataFrame
 Row │ name    salary  friends
     │ String  Int64   Array…
─────┼───────────────────────────────────────────────────
   1 │ bob      13000  JSON3.Object[{\n     "name": "sa…
   2 │ marge    10000  JSON3.Object[{\n     "name": "rh…
   3 │ joe      10000  JSON3.Object[{\n     "name": "ha…

Start by reproducing the nested-DataFrame example with objecttable(dfn) and compare it with the jsontable and DataFrame(jsontable(jdata)) entry points shown in the issue. Determine the expected representation for nested tables, then add coverage for that case and verify it no longer fails with the missing StructTypes.StructType error.