Name: Hr Analytics Job Prediction
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Hr Analytics Job Prediction

Context

Hr Data Analytics
This dataset contains information about employees who worked in a company.

Content

This dataset contains columns: Satisfactory Level, Number of Project, Average Monthly Hours, Time Spend Company, Promotion Last 5
Years, Department, Salary

Acknowledgements

You can download, copy and share this dataset for analysis and Predictions employees Behaviour.

Inspiration

Answer the following questions would be worthy
1- Do Exploratory Data analysis to figure out which variables have a direct and clear impact on employee retention (i.e. whether they leave the company or continue to work)
2- Plot bar charts showing the impact of employee salaries on retention
3- Plot bar charts showing a correlation between department and employee retention
4- Now build a logistic regression model using variables that were narrowed down in step 1
5- Measure the accuracy of the model

Tables

Hr Comma Sep

@kaggle.mfaisalqureshi_hr_analytics_and_job_prediction.hr_comma_sep

65.88 kB
14,999 rows
10 columns

CREATE TABLE hr_comma_sep (
  "satisfaction_level" DOUBLE,
  "last_evaluation" DOUBLE,
  "number_project" BIGINT,
  "average_montly_hours" BIGINT,
  "time_spend_company" BIGINT,
  "work_accident" BIGINT,
  "left" BIGINT,
  "promotion_last_5years" BIGINT,
  "department" VARCHAR,
  "salary" VARCHAR
);