This is fantastic. Thank you @GreyMerchant
Also, you mentioned something about unpacking.
df1 <-- df_list[[1]] gives me a subset for department 'Training'. Is there a way to automatically unlist one by one by their department and save as department.xlsx ?
see this post to get additional details:
I have a dataframe as provided below;
ID
Department
Strength
DoD
Group_ID
82950
Training
96
953
A
32045
Training
86
5277
A
84817
Sales
77
1633
C
2857
Logistics
88
5629
Z
55587
Training
46
6710
L
73103
Sales
51
1892
M
5837
Sales
62
2394
A
7140
Sales
81
2854
C
70450
Logistics
56
5449
A
34207
Manufacturing
85
1332
S
20095
Manufacturing
58
4589
X
30200
Sales
91
1094
W
47211
Manufacturing
36
5862
C
8932
Manufacturing
75
4847
A
82663
Manufacturing
39
5798
A
I do this activity everyday manually filter column category one by one, copy filtered data, open a new .xlsx file, name it by the filtered category name, password protect and save it in a folder.
edit: T…