Employee Attrition Data Prediction

A dataset for analyzing employee turnover and predicting attrition

@kaggle.mrsimple07_employee_attrition_data_prediction

Table List

1 table(31.85 KB)

Employee Attrition Data

@kaggle.mrsimple07_employee_attrition_data_prediction.employee_attrition_data

31.85 KB
1000 rows
11 columns

employee_id Employee ID	age Age	gender Gender	department Department	job_title Job Title	years_at_company Years At Company	satisfaction_level Satisfaction Level	average_monthly_hours Average Monthly Hours	promotion_last_5years Promotion Last 5Years	salary Salary	attrition Attrition
	27	Male	Marketing	Manager	9	0.5862512562476163	151		60132
1	53	Female	Sales	Engineer	10	0.2611608894502527	221	1	79947
2	59	Female	Marketing	Analyst	8	0.3043817175126141	184		46958	1
3	42	Female	Engineering	Manager	1	0.4807788698060304	242		40662
4	44	Female	Sales	Engineer	10	0.6362438875959893	229	1	74307
5	47	Male	Sales	HR Specialist	10	0.8890176690263424	237		97212
6	58	Male	Marketing	HR Specialist	5	0.6889765787941906	155	1	97865
7	57	Female	Sales	Analyst	8	0.9816786912170572	171		50113
8	34	Female	Finance	Accountant	6	0.010380901722245	177	1	88747	1
9	57	Female	Marketing	Engineer	7	0.4667823596824307	170		43283


CREATE TABLE employee_attrition_data (
  "employee_id" BIGINT,
  "age" BIGINT,
  "gender" VARCHAR,
  "department" VARCHAR,
  "job_title" VARCHAR,
  "years_at_company" BIGINT,
  "satisfaction_level" DOUBLE,
  "average_monthly_hours" BIGINT,
  "promotion_last_5years" BIGINT,
  "salary" BIGINT,
  "attrition" BIGINT
);