Employee Attrition Data

Insights on Factors that contribute to Employee retention and departure

@kaggle.adnananam_employee_attrition_data

Table List

1 table(4.69 MB)

Employee Attrition Data

@kaggle.adnananam_employee_attrition_data.employee_attrition_data

4.69 MB
100000 rows
20 columns

employee_id Employee ID	age Age	gender Gender	marital_status Marital Status	department Department	job_role Job Role	salary Salary	performance_rating Performance Rating	years_at_company Years At Company	promotion_count Promotion Count	work_life_balance_rating Work-Life Balance Rating	job_satisfaction Job Satisfaction	training_hours Training Hours	commute_distance Commute Distance	absenteeism_rate Absenteeism Rate	exit_interview_feedback Exit Interview Feedback	reason_for_leaving Reason For Leaving	company_culture_fit Company Culture Fit	team_dynamics Team Dynamics	company_loyalty Company Loyalty
E00000	55	Male	Single	Sales	Developer	67792.37	5	27	5	3	3	27	37.56	97.24	Billion but remain beyond music right.	Relocation	3	1	4
E00001	59	Male	Widowed	Sales	Manager	78919.79	2	14		1	4	11	31.78	32.96	Fight series budget beat specific stock.	Personal Reasons	4	3	2
E00002	40	Prefer not to say	Divorced	Finance	Analyst	77797.18	4	20	2	1	5	27	5.97	59.32	Process sort later first price.	Personal Reasons	2	5	4
E00003	21	Non-binary	Married	Finance	Analyst	119321.43	2	18	4	1	2	37	2.79	0.65	Animal represent whom car expect thank skin.	Career Change	5	5	1
E00004	50	Non-binary	Single	HR	Analyst	77904.07	5	24	2	3	4	23	29.97	0.53	Writer plant none song.	Retirement	4	5	2
E00005	28	Female	Widowed	HR	Analyst	79497.14	2	17	3	1	5	19	13.53	74.02	Machine throughout check they fine.	Layoff	1	1	1
E00006	60	Non-binary	Married	Sales	Sales Rep	58970.88	4	37	5	2	3	35	27.82	9.04	Kid only wall message.	Layoff	3	2	5
E00007	37	Prefer not to say	Divorced	HR	Sales Rep	88149.5	4	6		3	4	17	36.69	6.11	Two surface produce upon administration remember language red.	Retirement	3	5	1
E00008	20	Female	Single	Sales	Sales Rep	103938.22	4	38	3	4	3	20	12.12	9.16	Future while at conference.	Personal Reasons	3	5	3
E00009	65	Female	Single	Operations	Team Lead	95740.81	4	32	4	2	4	1	19.89	6.68	Air whole very add.	Layoff	2	2	4


CREATE TABLE employee_attrition_data (
  "employee_id" VARCHAR,
  "age" BIGINT,
  "gender" VARCHAR,
  "marital_status" VARCHAR,
  "department" VARCHAR,
  "job_role" VARCHAR,
  "salary" DOUBLE,
  "performance_rating" BIGINT,
  "years_at_company" BIGINT,
  "promotion_count" BIGINT,
  "work_life_balance_rating" BIGINT,
  "job_satisfaction" BIGINT,
  "training_hours" BIGINT,
  "commute_distance" DOUBLE,
  "absenteeism_rate" DOUBLE,
  "exit_interview_feedback" VARCHAR,
  "reason_for_leaving" VARCHAR,
  "company_culture_fit" BIGINT,
  "team_dynamics" BIGINT,
  "company_loyalty" BIGINT
);