The Devil is in the Data is a blog about the R language. On this website, I share my musings about:
- Data science for water utilities, or hydroinformatics.
- Analysing marketing data.
- Solutions to Project Euler problems.
- Having fun with bits of R code, such as games and map porn.
For my day job, I manage the data science team at a water utility in regional Australia. My responsibility is to “create value with useful, sound and aesthetic data products”.
Data science should just be like architecture. Data science needs to be useful, sound and aesthetic to be able to create value.
Useful means that somebody can make a decision that increases value for an individual, an organisation or society overall. Sound means that the analysis is valid, reliable and reproducible. Last but not least, data products need to be aesthetic so that they are easy to understand.