It takes the average reader 3 hours and 33 minutes to read Data Science for Water Utilities by Peter Prevos
Assuming a reading speed of 250 words per minute. Learn more
This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. 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 four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.
Data Science for Water Utilities by Peter Prevos is 212 pages long, and a total of 53,424 words.
This makes it 72% the length of the average book. It also has 65% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 51 minutes to read Data Science for Water Utilities aloud.
Data Science for Water Utilities is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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