Posted on Thu 24 October 2019 in TDDA • Tagged with tdda, python, installation
This post is a standing post that we plan to try to keep up to date, describing options for obtaining the open-source Python TDDA library that we maintain.
If you don't need source, and have Python installed, the easiest way to get the TDDA library is …
Continue readingPosted on Wed 20 February 2019 in TDDA • Tagged with regular expressions, rexpy, tdda
Rexpy is a powerful tool we created that generates regular expressions from examples. It's available online at https://rexpy.herokuapp.com and forms part of our open-source TDDA library.
Miró
users can use the built-in rex command.
This post illustrates using Rexpy to find regular expressions for UK postcodes.
A …
Continue readingPosted on Tue 12 December 2017 in TDDA • Tagged with data lineage, data provenance, data governance, tdda, constraints, miro
Our previous post introduced the idea of data provenance (a.k.a. data lineage), which has been discussed on a couple of podcasts recently. This is an issue that is close to our hearts at Stochastic Solutions. Here, we'll talk about how we handle this issue, both methodologically and in …
Continue readingPosted on Thu 30 November 2017 in TDDA • Tagged with data lineage, data provenance, data governance, tdda, constraints
In Episode 49 of the Not So Standard Deviations podcast, the final segment (starting at 59:32) discusses data lineage, after Roger Peng listened to the September 3rd (2017) episode of another podcast, Linear Digressions, which discussed that subject.
This is a topic very close to our hearts, and I …
Continue readingPosted on Fri 06 October 2017 in TDDA • Tagged with tdda, constraints, verification, bad data
We have a new White Paper available:
Abstract
Correctness is a key problem at every stage of data science projects: completing an entire analysis without a serious error at some stage is surprisingly hard. Even errors that reverse or completely invalidate the analysis can be …
Continue reading