Public
Edited
Apr 28
1 fork
Importers
table(other_regressions, other_regression_options)
library_positions = position_list.filter((d) => d.match(/LIBR/))
viewof library_position_tbl = Inputs.table(
library_positions.map((d) => ({ position: d}))
)
library_position_sample = [
"LIBRARIAN",
"EXPERT LIBRARIAN",
"SPECIALIST LIBRARIAN",
"SR LIBRARIAN OR LIBRARY DIRECTOR",
"SENIOR LIBRARIAN"
]
pay_gap_classifications = filtered_positions; //it_classifications
Inputs.table(senior_application_developers)
Inputs.table(it_directors)
library = matched_data.filter(
(row) =>
row.fiscal_year == data_last_year &&
//["ASSOCIATE UNIVERSITY LIBRARIAN"].includes(row.position)
row.position.includes("LIBRAR")
)
Inputs.table(library, { format: { base_salary: (x) => parseFloat(x) } })
baurs = matched_data.filter(row => {return row.name.includes('BAUR')})
position_list.filter((d) => d.match(/app/i))
it_pay_gaps = {
return it_classifications.map((d) => ({
position: d,
pay_gap: positions[d][data_last_year].male_female_pay_gap,
sds: positions[d][data_last_year].male_female_gap_sds
}));
}
it_out_of_sd = {
let all_rows = [];
it_classifications.forEach((d) => {
positions[d][data_last_year].male_outside_of_one_sd.forEach((m) =>
all_rows.push({
position: d,
gender: "m",
salary: m,
average: positions[d][data_last_year].average_salary
})
);
positions[d][data_last_year].female_outside_of_one_sd.forEach((f) =>
all_rows.push({
position: d,
gender: "f",
salary: f,
average: positions[d][data_last_year].average_salary
})
);
});
return all_rows;
}
positions["SENIOR SYSTEMS ARCHITECT"]
md`## sandbox`
generate_diff_plot(filtered_positions, 'compa', 'Compensation Ratio','position', filtered_positions.length).render()
find_person = (name) => {
return unique_matched_names.filter((p) => p.match(name));
}
find_person("SODERDAHL, PAUL")
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