Diverse Water Quality Data Pattern Study of the Indian River Ganga: Correlation and Cluster Analysis

Abstract

Over the years, the growing concern for the most primary resource of life sustenance is reaching an acme. This work is aimed at providing a data pattern analysis using cluster and correlation methods. This research analyses the water quality of the river Ganga, for the various purposes of social work, based on the data of the molecular and nonmolecular water quality parameters. Correlations are useful because they can indicate a predictive relationship and based on the data of the physio-chemical parameters of the River Ganga, we can find the year-wise correlation matrix. We found five clusters for DO, pH and BOD and another five clusters for Conductivity, Fecal Coliform and Total Coliform.