Dear Statalist,
I'm trying to make a table that looks something like this:
I'd like to show the 6-year trend of agencies' (agy) number of STEM jobs posted by agency-year (stem_number_yearagy) along with the total number of jobs posted by agency-year (number_y).
Anyone have an idea how to make this table without manually formatting in excel?
Here's how my data looks like:
Thanks.
I'm trying to make a table that looks something like this:
year | ||||
Agency | Type of job | 2017 | ... | 2022 |
DD | STEM jobs | # (%) | ||
Total number of jobs | # (100%) | |||
AG | STEM jobs | |||
Total number of jobs | ||||
... | ... | ... | ... | ... |
Anyone have an idea how to make this table without manually formatting in excel?
Here's how my data looks like:
Code:
* Example generated by -dataex-. For more info, type help dataex clear input int year str2 agy float(number_y stem_number_yearagy) 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "DD" 22842 4695 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "HE" 7466 1453 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "HE" 7466 1453 2018 "OM" 424 32 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "HE" 7466 1453 2018 "DD" 22842 4695 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "VA" 7147 466 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 7147 466 2018 "DD" 22842 4695 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 22842 4695 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "IN" 5487 1107 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "IN" 1186 140 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "HE" 7466 1453 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "DD" 22842 4695 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DJ" 2917 313 2018 "DD" 22842 4695 2018 "HS" 6548 591 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "VA" 64695 4397 2018 "DD" 22842 4695 2018 "VA" 64695 4397 2018 "DD" 22842 4695 2018 "VA" 64695 4397 2018 "VA" 7147 466 2018 "HE" 925 166 2018 "DD" 111807 21971 2018 "DD" 22842 4695 2018 "VA" 64695 4397 2018 "VA" 64695 4397 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "DD" 111807 21971 2018 "IN" 5487 1107 2018 "VA" 64695 4397 end
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