NOTES FROM THE DATA WORKBENCH
Long-form, practical explanations of everyday data tasks: what common tools do, where conversions go wrong, and how to check your work.
A readable document is a good start, not a guarantee. Learn what a JSON formatter parses, what serialization can change, and how to validate the result for the application that will use it.
Read articleBase64 strings look opaque, but they are only another representation of bytes. Understand text-to-byte boundaries, UTF-8, URL components, and why encoding is never a privacy measure.
Read articleQuoting, headers, leading zeroes, blank fields, and type guesses can all change the meaning of a table. Use a review-first process for converting CSV to JSON and back.
Read articleBrowse the formatting guides or review the practical data-handling guidelines.