emp_exc
Summary
This data catalog provides information on employee and executive demographics within the Korean stock universe, focusing on gender distribution and salary details.
Example code
from finter.data import ContentFactory
cf = ContentFactory("kr_stock", 20200101, 20200201)
df = cf.get_df("exc_tot_woman")Metadata
20 18 * * 5
Item List
Executive Data
exc_tot_woman: Total number of female executives
exc_tot_man: Total number of male executives
exc_tot_inside_director: Total number of internal directors
exc_tot_outside_director: Total number of outside directors
exc_eq_ceo_chairman: Whether the CEO and the Chairman of the Board are the same person
Employee Data
Female Employees
emp_woman_fulltime: Number of female regular employees
emp_woman_parttime: Number of female non-regular employees
emp_woman_avg_year_of_service: Average tenure of female employees
emp_woman_tot_year_salary: Total annual salary of female employees
Male Employees
emp_man_fulltime: Number of male full-time employees
emp_man_parttime: Number of male non-regular employees
emp_man_avg_year_of_service: Average tenure of male employees
emp_man_tot_year_salary: Annual total salary of male employees
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