This repository contains the data and code associated with the book Data Science for Water Utilities. Data as a Source of Value, by Routledge.
Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through three case studies.
The first case study looks at analysing water quality to ensure public health. The second considers customer feedback. The final case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity.
The accompanying website contains additional information, addenda and a screencast for each of the chapters.
This repository contains the following folders:
case-studies: Additional water data science case studiesdata: Case study data filespython: Python version of the code in the bookscripts: R scripts for book chapters