HR Analytics: Employee Promotion Data

Predict the eligible candidates for promotion

@kaggle.arashnic_hr_ana

Table List

2 tables(896.22 KB)

Train

@kaggle.arashnic_hr_ana.train

627.27 KB
54808 rows
13 columns

employee_id Employee Id	department Department	region Region	education Education	gender Gender	recruitment_channel Recruitment Channel	no_of_trainings No Of Trainings	age Age	previous_year_rating Previous Year Rating	length_of_service Length Of Service	avg_training_score Avg Training Score
65438	Sales & Marketing	region_7	Master's & above	f	sourcing	1	35	5	8	49
65141	Operations	region_22	Bachelor's	m	other	1	30	5	4	60
7513	Sales & Marketing	region_19	Bachelor's	m	sourcing	1	34	3	7	50
2542	Sales & Marketing	region_23	Bachelor's	m	other	2	39	1	10	50
48945	Technology	region_26	Bachelor's	m	other	1	45	3	2	73
58896	Analytics	region_2	Bachelor's	m	sourcing	2	31	3	7	85
20379	Operations	region_20	Bachelor's	f	other	1	31	3	5	59
16290	Operations	region_34	Master's & above	m	sourcing	1	33	3	6	63
73202	Analytics	region_20	Bachelor's	m	other	1	28	4	5	83
28911	Sales & Marketing	region_1	Master's & above	m	sourcing	1	32	5	5	54


CREATE TABLE train (
  "employee_id" BIGINT,
  "department" VARCHAR,
  "region" VARCHAR,
  "education" VARCHAR,
  "gender" VARCHAR,
  "recruitment_channel" VARCHAR,
  "no_of_trainings" BIGINT,
  "age" BIGINT,
  "previous_year_rating" DOUBLE,
  "length_of_service" BIGINT,
  "awards_won" BIGINT,
  "avg_training_score" BIGINT,
  "is_promoted" BIGINT
);