Dataset: HR Analysis Case Study

About this Dataset

HR Analysis Case Study

Context

Problem Statement

This is the HR datasets. In our dataset 50000 rows and 14 columns. Every year, around 5% of its employees have promoted in the company. so, we have the check employee is promoted or not?

Columns Name

employee_id
department
region
education
gender
recruitment_channel
no_of_trainings
age previous_year_rating
length_of_service
KPIs_met >80%
awards_won?
avg_training_score
is_promoted

Inspiration

Good luck and enjoy the learning!

Tables

Test

@kaggle.shivan118_hranalysis.test

272.65 KB
23490 rows
13 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,
  "kpis_met_80" BIGINT,
  "awards_won" BIGINT,
  "avg_training_score" BIGINT
);

Train

@kaggle.shivan118_hranalysis.train

635 KB
54808 rows
14 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,
  "kpis_met_80" BIGINT,
  "awards_won" BIGINT,
  "avg_training_score" BIGINT,
  "is_promoted" BIGINT
);