Temporal Patterns and Variations in Water Quality Parameters: A Comprehensive Analysis of Varthur Lake in Bangalore

The escalating environmental concerns associated with water quality degradation necessitate a comprehensive understanding of temporal patterns and variations in key water quality parameters. This research presents an in-depth exploratory data analysis (EDA) of time series data collected from Varthur Lake in Bangalore, with a specific emphasis on pH, Turbidity, and Conductivity. The study employs a multi-dimensional approach encompassing data visualization, descriptive statistics, time series decomposition, normality inspection, trend Analysis, Seasonality and Stationarity checks of the time series and Autocorrelation Analysis. The research goal is to contribute to the understanding of temporal patterns and variations in water quality parameters, with a specific focus on pH, Turbidity, and Conductivity in Varthur Lake. In the exploration of Varthur Lake's water quality time series data, our comprehensive analysis uncovers crucial insights into the behavior of key parameters-pH, Turbidity, and Conductivity.