HR Dataset

This is a dataset about almost 1500 employees of a company.

@kaggle.imtiajemon_hr_dataset

Table List

1 table(44.36 KB)

Hr Data

@kaggle.imtiajemon_hr_dataset.hr_data

44.36 KB
1473 rows
24 columns

empid EmpID	age Age	agegroup AgeGroup	attrition Attrition	businesstravel BusinessTravel	department Department	distancefromhome DistanceFromHome	educationfield EducationField	environmentsatisfaction EnvironmentSatisfaction	gender Gender	joblevel JobLevel	jobrole JobRole	jobsatisfaction JobSatisfaction	maritalstatus MaritalStatus	monthlyincome MonthlyIncome	over18 Over18	overtime OverTime	percentsalaryhike PercentSalaryHike	performancerating PerformanceRating	totalworkingyears TotalWorkingYears	yearsatcompany YearsAtCompany
RM297	18	18-25	Yes	Travel_Rarely	Research & Development	3	Life Sciences	Average	Male	1	Laboratory Technician	Average	Single	1420	Y	No	13	Average
RM302	18	18-25	No	Travel_Rarely	Sales	10	Medical	Good	Female	1	Sales Representative	Average	Single	1200	Y	No	12	Average
RM458	18	18-25	Yes	Travel_Frequently	Sales	5	Marketing	Poor	Male	1	Sales Representative	Poor	Single	1878	Y	Yes	14	Average
RM728	18	18-25	No	Non_Travel	Research & Development	5	Life Sciences	Poor	Male	1	Research Scientist	Good	Single	1051	Y	No	15	Average
RM829	18	18-25	Yes	Non_Travel	Research & Development	8	Medical	Average	Male	1	Laboratory Technician	Average	Single	1904	Y	No	12	Average
RM973	18	18-25	No	Non_Travel	Research & Development	1	Life Sciences	Good	Female	1	Laboratory Technician	Good	Single	1611	Y	No	15	Average
RM1154	18	18-25	Yes	Travel_Frequently	Sales	3	Medical	Poor	Female	1	Sales Representative	Good	Single	1569	Y	Yes	12	Average
RM1312	18	18-25	No	Non_Travel	Research & Development	14	Medical	Poor	Female	1	Research Scientist	Average	Single	1514	Y	No	16	Average
RM128	19	18-25	Yes	Travel_Rarely	Sales	22	Marketing	Good	Male	1	Sales Representative	Average	Single	1675	Y	Yes	19	Average
RM150	19	18-25	No	Travel_Rarely	Research & Development	3	Medical	Poor	Female	1	Laboratory Technician	Poor	Single	1483	Y	No	14	Average	1	1


CREATE TABLE hr_data (
  "empid" VARCHAR,
  "age" BIGINT,
  "agegroup" VARCHAR,
  "attrition" VARCHAR,
  "businesstravel" VARCHAR,
  "department" VARCHAR,
  "distancefromhome" BIGINT,
  "educationfield" VARCHAR,
  "environmentsatisfaction" VARCHAR,
  "gender" VARCHAR,
  "joblevel" BIGINT,
  "jobrole" VARCHAR,
  "jobsatisfaction" VARCHAR,
  "maritalstatus" VARCHAR,
  "monthlyincome" BIGINT,
  "over18" VARCHAR,
  "overtime" VARCHAR,
  "percentsalaryhike" BIGINT,
  "performancerating" VARCHAR,
  "totalworkingyears" BIGINT,
  "yearsatcompany" BIGINT,
  "yearsincurrentrole" BIGINT,
  "yearssincelastpromotion" BIGINT,
  "yearswithcurrmanager" DOUBLE
);