Create grouped dataframe by properties of a given column?

New to Julia
,
2

not with the groupby() function of DataFrames.
But you could with SplitApllyCombine group()

julia> using SplitApplyCombine

julia> df = DataFrame(date = Date(2024,12,29): Day(1):Date(2025,1,5))
8×1 DataFrame
 Row │ date       
     │ Date
─────┼────────────
   1 │ 2024-12-29
   2 │ 2024-12-30
   3 │ 2024-12-31
   4 │ 2025-01-01
   5 │ 2025-01-02
   6 │ 2025-01-03
   7 │ 2025-01-04
   8 │ 2025-01-05

julia> group( yearmonth, df.date)
2-element Dictionaries.Dictionary{Tuple{Int64, Int64}, Vector{Date}}
 (2024, 12) │ [Date("2024-12-29"), Date("2024-12-30"), Date("2024-12-31")]        
  (2025, 1) │ [Date("2025-01-01"), Date("2025-01-02"), Date("2025-01-03"), Date("…

julia> group(yearmonth, month,  df.date)
2-element Dictionaries.Dictionary{Tuple{Int64, Int64}, Vector{Int64}}
 (2024, 12) │ [12, 12, 12]
  (2025, 1) │ [1, 1, 1, 1, 1]

julia> group(year, month,  df.date)
2-element Dictionaries.Dictionary{Int64, Vector{Int64}}
 2024 │ [12, 12, 12]
 2025 │ [1, 1, 1, 1, 1]
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