Name: HR Analytics: Employee Promotion Data
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

HR Analytics: Employee Promotion Data

Content

A large MNC have 9 broad verticals across the organisation. One of the problem is identifying the right people for promotion (only for manager position and below) and prepare them in time.

The final promotions are only announced after the evaluation and this leads to delay in transition to new roles. Hence, company needs help in identifying the eligible candidates at a particular checkpoint so that they can expedite the entire promotion cycle.

Multiple attributes have been provided around Employee's past and current performance along with demographics.

Features:

employee_id: Unique ID for employee
department: Department of employee
region: Region of employment (unordered)
education: Education Level
gender: Gender of Employee
recruitment_channel: Channel of recruitment for employee
no_ of_ trainings: no of other trainings completed in previous year on soft skills, technical skills etc.
age: Age of Employee
previous_ year_ rating: Employee Rating for the previous year
length_ of_ service: Length of service in years
awards_ won?: if awards won during previous year then 1 else 0
avg_ training_ score: Average score in current training evaluations
is_promoted: (Target) Recommended for promotion

Inspiration

Predict whether a potential promotee at checkpoint in the test set will be promoted or not after the evaluation process.

Tables

Test

@kaggle.arashnic_hr_ana.test

275.4 kB
23,490 rows
12 columns

CREATE TABLE test (
  "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  -- Awards Won?,
  "avg_training_score" BIGINT
);

Train

@kaggle.arashnic_hr_ana.train

642.33 kB
54,808 rows
13 columns

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  -- Awards Won?,
  "avg_training_score" BIGINT,
  "is_promoted" BIGINT
);