Hydroinformatics: Data Science for Water Utilities

Managing reliable water services requires not only a sufficient volume of water but also significant amounts of data. Water professionals continuously measure the flow and quality of the water and how customers perceive their service.

Data and water are, as such natural partners. Water utilities are awash, or even flooded with data. Data professionals use data pipelines and data lakes and make data flow from one place to another. Hydroinformatics is the activity of using data to solve problems related to water.

This series of articles shows how to use the R language to solve water problems. If you like to learn how to use the R computer language to solve water problems, then consider reading Data Science for Water Utilities.

Data Science for Water Utilities

Data Science for Water Utilities

Data Science for Water Utilities published by CRC Press is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems using the R language for statistical computing.

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Articles

This chapter of the Data Science for Utilities introduces the basic principles of using R for water utilities and advice on how to learn to code
Introduction to R for Utilities
This chapter of the Data Science for Utilities introduces the basic principles of using R for water utilities and advice on how to learn to code
Data Science
R4H2O Hydroinformatics
This article explains how to create a Monte Carlo cost estimate in R. Monte Carlo simulations help you manage uncertainty.
Monte Carlo Cost Estimates: Engineers Throwing Dice
This article explains how to create a Monte Carlo cost estimate in R. Monte Carlo simulations help you manage uncertainty.
Data Science
RStats Hydroinformatics
The cheesecake diagram is a method to visualise multi-variable business performance on a map using a variation on the traditional pie chart.
Cheesecake Diagrams: Pie Charts with a Different Flavour
The cheesecake diagram is a method to visualise multi-variable business performance on a map using a variation on the traditional pie chart.
Data Science
RStats Hydroinformatics Map Porn
Consumer involvement measures how much customers care. This article explains measuring the Personal Involvement Inventory using factor analysis in R.
Factor Analysis in R: Measuring Consumer Involvement
Consumer involvement measures how much customers care. This article explains measuring the Personal Involvement Inventory using factor analysis in R.
Data Science Marketing
Hydroinformatics RStats Invisible Water Utility
This article explains how to undertake Call Centre Workforce Planning using Erlang C in R, plus a Monte Carlo simulation to manage uncertainty.
Call Centre Workforce Planning Using Erlang C in R language
This article explains how to undertake Call Centre Workforce Planning using Erlang C in R, plus a Monte Carlo simulation to manage uncertainty.
Data Science Marketing
Hydroinformatics RStats
This tap water sentiment analysis looks at a corpus of tweets about tap water to better understand people's attitudes to tap water.
Tap Water Sentiment Analysis using Twitter and Tidytext
This tap water sentiment analysis looks at a corpus of tweets about tap water to better understand people's attitudes to tap water.
Data Science
Hydroinformatics RStats Invisible Water Utility
This article presents a series of functions, such as a diurnal curve, to analyse digital water meter data using the tidyverse libraries.
Analyse Digital Water Meter Data using the Tidyverse
This article presents a series of functions, such as a diurnal curve, to analyse digital water meter data using the tidyverse libraries.
Data Science
Hydroinformatics RStats
This article simulates water consumption to assist with developing leak detection algorithms. Simulating water consumption helps to develop business tools.
Simulating Water Consumption to Develop Analysis Tools
This article simulates water consumption to assist with developing leak detection algorithms. Simulating water consumption helps to develop business tools.
Data Science
Hydroinformatics RStats