28×3 DataFrame
 Row │ hour   mean       type
     │ Int64  Float64    String
─────┼──────────────────────────
   1 │     5  0.0624333  male
   2 │     6  0.17873    male
   3 │     7  0.296837   male
   4 │     8  0.37202    male
   5 │     9  0.395498   male
   6 │    10  0.377524   male
   7 │    11  0.376331   male
   8 │    12  0.36828    male
   9 │    13  0.352459   male
  10 │    14  0.345382   male
  11 │    15  0.350499   male
  12 │    16  0.335312   male
  13 │    17  0.261752   male
  14 │    18  0.105548   male
  15 │     5  0.020879   female
  16 │     6  0.05829    female
  17 │     7  0.0870972  female
  18 │     8  0.0943724  female
  19 │     9  0.104649   female
  20 │    10  0.0921848  female
  21 │    11  0.0916778  female
  22 │    12  0.094334   female
  23 │    13  0.0940192  female
  24 │    14  0.0959261  female
  25 │    15  0.107148   female
  26 │    16  0.0937991  female
  27 │    17  0.090513   female
  28 │    18  0.0303291  female
24×3 DataFrame
 Row │ month  mean       type
     │ Int64  Float64    String
─────┼──────────────────────────
   1 │     1  0.23846    male
   2 │     2  0.320579   male
   3 │     3  0.303407   male
   4 │     4  0.41443    male
   5 │     5  0.333582   male
   6 │     6  0.296612   male
   7 │     7  0.280235   male
   8 │     8  0.297233   male
   9 │     9  0.303312   male
  10 │    10  0.276628   male
  11 │    11  0.29383    male
  12 │    12  0.28054    male
  13 │     1  0.0798978  female
  14 │     2  0.0930031  female
  15 │     3  0.101536   female
  16 │     4  0.108902   female
  17 │     5  0.0830183  female
  18 │     6  0.0879561  female
  19 │     7  0.0652421  female
  20 │     8  0.0878864  female
  21 │     9  0.0647296  female
  22 │    10  0.065819   female
  23 │    11  0.0746069  female
  24 │    12  0.0873305  female