Last night I went to The Protectors of Data Scotland Meetup on the subject of Marketing and GDPR. If you're not familiar with Europe's fast-approaching General Data Protection Regulation, and you keep or process any personal data about humans,1, you probably ought to learn about it. A good place …
Continue readingA quick-reference guide ("cheat sheet") is now available for the Python TDDA library. This is linked in the sidebar and available here.
We will try to keep it up-to-date as the library evolves.
See you all at PyData London 2017 this weekend (5-6 May 2017), where we'll be running a …
Continue readingPosted on Thu 09 March 2017 in TDDA • Tagged with tdda, rexpy, regular expressions
Today we are announcing some enhancements to Rexpy, the tdda tool for finding regular expressions from examples. In short, the new version often finds more precise regular expressions than was previously the case, with the only downside being a modest increase in run-time.
Background on Rexpy is available in two …
Continue readingPosted on Wed 08 March 2017 in TDDA • Tagged with tdda, errors of process, errors of interpretation
Yesterday, email subscribers to the blog, and some RSS/casual viewers, will have seen a half-finished (in fact, abandoned) post that began to try to characterize success and failure on the crowd-funding platform Kickstarter.
The post was abandoned because I didn't believe its first conclusion, but unfortunately was published by …
Continue readingPosted on Mon 20 February 2017 in TDDA • Tagged with tdda, errors of interpretation, graphs
It is a primary responsibility of analysts to present findings and data clearly, in ways to minimize the likelihood of misinterpretation. Graphs should help this, but all too often, if drawn badly (whether deliberately or through oversight) they can make misinterpretation highly likely. I want to illustrate this danger with …
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