The Devil is in the Data

The Devil is in the Data is a blog about practical and fun data science in the R language by Dr Peter Prevos. This website goes beyond the hype, given that 99.9% of problems can be solved without machine learning. Good data science is:

  • Useful: Increases value.
  • Sound: Valid, reliable and reproducible.
  • Aesthetic: Easy to understand.

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The Insights as a Service model helps data scientists create value with data using the principles of marketing services.
A Brief Guide to Providing Insights as a Service
The Insights as a Service model helps data scientists create value with data using the principles of marketing services.
Data Science Marketing
Solutions to Project Euler 35: How many circular primes are there below one million? Solution in the R language for statistical computing
Project Euler 35: Circular Primes below One Million
Solutions to Project Euler 35: How many circular primes are there below one million? Solution in the R language for statistical computing
Data Science
Project Euler RStats
Creating a database of Ptolemy's Geography locations and plotting on a modern map. Mapping Ptolemy's Geography with ggplot2
Mapping the Ancient World: A Digital Odyssey through Ptolemy's Geography
Creating a database of Ptolemy's Geography locations and plotting on a modern map. Mapping Ptolemy's Geography with ggplot2
Data Science
RStats Map Porn
This chapter of the Data Science for Utilities describes the principle of analysing the customer experience and using the R language
Analysing the Customer Experience
This chapter of the Data Science for Utilities describes the principle of analysing the customer experience and using the R language
Data Science
R4H2O
This chapter of the Data Science for Utilities discusses how to undertake basic linear regression as a foundation for statistical modelling
Basic Linear Regression
This chapter of the Data Science for Utilities discusses how to undertake basic linear regression as a foundation for statistical modelling
Data Science
R4H2O
This chapter of the Data Science for Water Utilities book introduces the basic principles of the R language with a case study about flow in open channel flow
Basics of the R Language
This chapter of the Data Science for Water Utilities book introduces the basic principles of the R language with a case study about flow in open channel flow
Data Science
R4H2O
This Data Science for Water Utilities chapter implements cluster analysis to segment customers using hierarchical clustering and k-means.
Clustering Customers to Define Segments
This Data Science for Water Utilities chapter implements cluster analysis to segment customers using hierarchical clustering and k-means.
Data Science
R4H2O
This chapter of Data Science for Water Utilities teaches how to generate various types of descriptive statistics and grouped analysis with R
Descriptive Statistics in Water Quality
This chapter of Data Science for Water Utilities teaches how to generate various types of descriptive statistics and grouped analysis with R
Data Science
R4H2O