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Data Science Dojo
Copyright (c) 2016 - 2019


Level: Intermediate
Recommended Use: Classification/Regression/Clustering Models
Domain: Healthcare

Liver Disorders Data Set

Patterns relating liver disorder and alcohol consumption


This intermediate level data set has 345 rows and 7 columns, where the 7th column is not a variable but just a train/test selector. The headers have to be manually placed in the data set. The dataset does not contain any variable representing presence or absence of a liver disorder. This data set is recommended for learning and practicing your skills in exploratory data analysis, data visualization, regression, classification and clustering modelling techniques. Feel free to explore the data set with multiple supervised and unsupervised learning techniques. The Following data dictionary gives more details on this data set:


Data Dictionary

Column Position Attribute Name Definition Data Type Example % Null Ratios
1 Mcv Mean Corpuscular Volume (Blood Test) Quantitative 85, 91, 96 0
2 Alkphos Alkaline Phosphotase (Blood Test) Quantitative 78, 55, 70 0
3 Sgpt Alamine Aminotransferase (Blood Test) Quantitative 45, 12, 15 0
4 Sgot Aspartate Aminotransferase (Blood Test) Quantitative 27, 17, 33 0
5 Gammagt Gamma-Glutamyl Transpeptidase (Blood Test) Quantitative 31, 54, 36 0
6 Drinks Number of half-pint equivalents of alcoholic beverages drunk per day Quantitative 0.5, 3.0, 8.0 0
7 Selector (Not a variable) Field used to split data into two sets Quantitative 1, 2 0

Acknowledgement

This data set has been sourced from the Machine Learning Repository of University of California, Irvine Liver Disorders Data Set (UC Irvine). The UCI page mentions BUPA Medical Research Ltd as the original source of the data set.