Employee Dataset

The employee dataset contains annual salary information for employees of an American county. It contains features related to each employee, such as employee’s department, gender, salary, and hiring date.

The original data was sourced from the employee_salaries OpenML dataset, and can be found here: https://www.openml.org/d/42125. From the source data additional transformations were made, such as: data cleaning, feature creation and feature engineering.

License: CC0: Public Domain

Usage

You can follow this guide to see how to use the ecommerce dataset:

• Employee Dataset - Usage Example

Versions and Data Partitions

Currently the dataset contains one version: base. This dataset has no particular tasks defined, as it is aimed to explore data quality issues that are not necessarily related to ML. The base version contains two partitions: Baseline and Production

base

• Baseline

  • Number of instances: 836

  • Number of features: 12

    • Input Features: 11

    • Target Features: 0

    • Prediction Features: 0

    • Extra Features: 1

  • Period: 2023-01-16 (single day)

• Inference

  • Number of instances: 26573

  • Number of features: 12

    • Input Features: 11

    • Target Features: 0

    • Prediction Features: 0

    • Extra Features: 1

  • Period: from 2023-01-17 to 2023-02-16

The original data didn’t contain date and time information. Data was randomly sampled from a source dataframe to compose separate days in a preprocessing stage for the fabrication of this dataset.

Features Description

Extra Features

These are extra features that are not of any of the previous categories, but still contain relevant information about the data.

Miscellaneous Features

Feature	Description	Type	Present in Versions
assignment_category	The assignment category of the employee. Can be Full-time or Part-time and essentially carries the same information as the full_time/part_time features.	Extra	all

Regular Features

Regular Features

Feature	Description	Present in Versions
employee_id	The employee’s ID, int	all
gender	The employee’s gender, str	all
overtime_pay	The employee’s overtime pay, float	all
department	The employee’s department, str	all
position_title	The employee’s position title, str	all
date_first_hired	The employee’s date of first hire, str	all
date_first_hired	The employee’s date of first hire, str	all
year_first_hired	The employee’s year of first hire, int	all
salary	The employee’s salary, float	all
full_time	The employee’s full time status, bool	all
part_time	The employee’s part time status, bool	all
sector	The employee’s sector, str	all

License

CC0: Public Domain

References

1

https://www.openml.org/d/42125 - Employee Salaries Dataset