Absenteeism at work
About
The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.
The data set allows for several new combinations of attributes and attribute exclusions, or the modification of the attribute type (categorical, integer, or real) depending on the purpose of the research.The data set (Absenteeism at work - Part I) was used in academic research at the Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.
Subject Area
Business
Instances
740
Features
21
Data Types
Multivariate
Tasks
Classification, Clustering
Feature Types
Integer, Continuous
Features
| Name | Role | Type | Units | Missing Values |
|---|---|---|---|---|
| ID | Id | Integer | - | No |
| Reason for absence | Feature | Integer | - | No |
| Month of absence | Feature | Integer | - | No |
| Day of the week | Feature | Integer | - | No |
| Seasons | Feature | Integer | - | No |
| Transportation expense | Feature | Integer | - | No |
| Distance from Residence to Work | Feature | Integer | - | No |
| Service time | Feature | Integer | - | No |
| Age | Feature | Integer | - | No |
| Work load Average/day | Feature | Continuous | - | No |
| Hit target | Feature | Integer | - | No |
| Disciplinary failure | Feature | Integer | - | No |
| Education | Feature | Integer | - | No |
| Son | Feature | Integer | - | No |
| Social drinker | Feature | Integer | - | No |
| Social smoker | Feature | Integer | - | No |
| Pet | Feature | Integer | - | No |
| Weight | Feature | Integer | - | No |
| Height | Feature | Integer | - | No |
| Body mass index | Feature | Integer | - | No |
| Absenteeism time in hours | Target | Integer | - | No |
Introductory Paper
Application of a neuro fuzzy network in prediction of absenteeism at work
Andréa Martiniano, R. P. Ferreira, R. Sassi, C. Affonso. 2012.
Iberian Conference on Information Systems and Technologies