I have been working at a linter that allows to lint code and data at the same time. Its purpose is to find pre-fit issues that may lead to wrong models. It supports analyzing data, parsing code and combining code parsing with data analysis results. Its written in Julia, compiled into a binary and does not require any programming language installed to work.
I have been working at a linter that allows to lint code and data at the same time. Its purpose is to find pre-fit issues that may lead to wrong models. It supports analyzing data, parsing code and combining code parsing with data analysis results. Its written in Julia, compiled into a binary and does not require any programming language installed to work.
- [DataLinter](https://github.com/zgornel/DataLinter) repository on Github
- [RStudio plugin](https://github.com/zgornel/Rstudio-Addin-DataLinter) on Github
Hopefully it will prove useful to avoid specific types of modelling errors.
The linter is still at an early stage but stable and moving towards production ready. The latest release [v0.1.1](https://github.com/zgornel/DataLinter/releases/tag/v0.1.1) is the first that I'm comfortable announcing.
Future versions will add more linters, model analysis and other programming languages support i.e. Python as well.
Try it on your data, code and open an issue with what it missed ;)