How can R be used to conduct qualitative data science? An example analyses interviews with customer advocacy groups and regulators of water utilities using the RQDA package.
In developed countries, tap water is safe to drink and available for a meagre price. Despite the fact that high-quality drinking water is almost freely available, the consumption of bottled water is increasing every year. Bottled water companies use sophisticated… Continue Reading →
Many water utilities are implementing or considering digital metering. This article describes analysing digital water meter data using the data science Tidyverse library.
This article simulates water consumption to assist with developing leak detection algorithms. Simulating water consumption helps to develop business tools.
The netCDF format is popular in sciences that analyse sequential spatial data. It is a self-describing, machine-independent data format for creating, accessing and sharing array-oriented information. The netCDF format provides spatial time-series such as meteorological or environmental data. This article shows how to visualise… Continue Reading →
A geographic bubble chart is a straightforward method to visualise quantitative information with a geospatial relationship. Last week I was in Vietnam helping the Phú Thọ Water Supply Joint Stock Company with their data science. They asked me to create… Continue Reading →
Data Science for Water Utilities will be a new book that explains how to use R to undertake analytics for problems typical to water utilities.
This article describes how to use Virtual tags to analyse SCADA data. Virtual tags provide context o SCADA or Historian data by combining information from various tags with meta data about these tags.
Summary of my presentation to the Melbourne R user Group (MelbuRn) about Data science from a Strategic Business Perspective.
Demonstrating the various ways percentile calculations can be undertaken in R and specifically with respect to measuring turbidity in water supplies.