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Absenteeism at work
Donated on 4/4/2018
The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Business
Associated Tasks
Classification, Clustering
Feature Type
Integer, Real
# Instances
740
# Features
19
Dataset Information
Additional Information
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.
Has Missing Values?
No
Introductory Paper
By Andréa Martiniano, R. P. Ferreira, R. Sassi, C. Affonso. 2012
Published in Iberian Conference on Information Systems and Technologies
Variables Table
Variable Name | Role | Type | Demographic | Description | 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 | Age | no | ||
Work load Average/day | Feature | Continuous | no |
0 to 10 of 21
Additional Variable Information
1. Individual identification (ID) 2. Reason for absence (ICD). Absences attested by the International Code of Diseases (ICD) stratified into 21 categories (I to XXI) as follows: I Certain infectious and parasitic diseases II Neoplasms III Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism IV Endocrine, nutritional and metabolic diseases V Mental and behavioural disorders VI Diseases of the nervous system VII Diseases of the eye and adnexa VIII Diseases of the ear and mastoid process IX Diseases of the circulatory system X Diseases of the respiratory system XI Diseases of the digestive system XII Diseases of the skin and subcutaneous tissue XIII Diseases of the musculoskeletal system and connective tissue XIV Diseases of the genitourinary system XV Pregnancy, childbirth and the puerperium XVI Certain conditions originating in the perinatal period XVII Congenital malformations, deformations and chromosomal abnormalities XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified XIX Injury, poisoning and certain other consequences of external causes XX External causes of morbidity and mortality XXI Factors influencing health status and contact with health services. And 7 categories without (CID) patient follow-up (22), medical consultation (23), blood donation (24), laboratory examination (25), unjustified absence (26), physiotherapy (27), dental consultation (28). 3. Month of absence 4. Day of the week (Monday (2), Tuesday (3), Wednesday (4), Thursday (5), Friday (6)) 5. Seasons (summer (1), autumn (2), winter (3), spring (4)) 6. Transportation expense 7. Distance from Residence to Work (kilometers) 8. Service time 9. Age 10. Work load Average/day 11. Hit target 12. Disciplinary failure (yes=1; no=0) 13. Education (high school (1), graduate (2), postgraduate (3), master and doctor (4)) 14. Son (number of children) 15. Social drinker (yes=1; no=0) 16. Social smoker (yes=1; no=0) 17. Pet (number of pet) 18. Weight 19. Height 20. Body mass index 21. Absenteeism time in hours (target) .arff header for Weka: @relation Absenteeism_at_work @attribute ID {31.0, 27.0, 19.0, 30.0, 7.0, 20.0, 24.0, 32.0, 3.0, 33.0, 26.0, 29.0, 18.0, 25.0, 17.0, 14.0, 16.0, 23.0, 2.0, 21.0, 36.0, 15.0, 22.0, 5.0, 12.0, 9.0, 6.0, 34.0, 10.0, 28.0, 13.0, 11.0, 1.0, 4.0, 8.0, 35.0} @attribute Reason_for_absence {17.0, 3.0, 15.0, 4.0, 21.0, 2.0, 9.0, 24.0, 18.0, 1.0, 12.0, 5.0, 16.0, 7.0, 27.0, 25.0, 8.0, 10.0, 26.0, 19.0, 28.0, 6.0, 23.0, 22.0, 13.0, 14.0, 11.0, 0.0} @attribute Month_of_absence REAL @attribute Day_of_the_week {5.0, 2.0, 3.0, 4.0, 6.0} @attribute Seasons {4.0, 1.0, 2.0, 3.0} @attribute Transportation_expense REAL @attribute Distance_from_Residence_to_Work REAL @attribute Service_time INTEGER @attribute Age INTEGER @attribute Work_load_Average/day_ REAL @attribute Hit_target REAL @attribute Disciplinary_failure {1.0, 0.0} @attribute Education REAL @attribute Son REAL @attribute Social_drinker {1.0, 0.0} @attribute Social_smoker {1.0, 0.0} @attribute Pet REAL @attribute Weight REAL @attribute Height REAL @attribute Body_mass_index REAL @attribute Absenteeism_time_in_hours REAL
Dataset Files
File | Size |
---|---|
Absenteeism_at_work.xls | 142KB |
Absenteeism_at_work.arff | 91KB |
Absenteeism_at_work.csv | 45KB |
UCI_ABS_TEXT.docx | 44KB |
Attribute Information.docx | 13KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset absenteeism_at_work = fetch_ucirepo(id=445) # data (as pandas dataframes) X = absenteeism_at_work.data.features y = absenteeism_at_work.data.targets # metadata print(absenteeism_at_work.metadata) # variable information print(absenteeism_at_work.variables)
Martiniano, A. & Ferreira, R. (2012). Absenteeism at work [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5X882.
Creators
Andrea Martiniano
Ricardo Ferreira
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.