Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
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Updated
Nov 26, 2024 - Python
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
A cookiecutter template for data science projects within His Majesty's Government and wider public sector.
Guidance for quality assurance of code for civil service researchers and analysts.
R package: generate best-practice stats spreadsheets for publication
Good Practice Tables - an XlsxWriter wrapper to write consistently formatted statistical tables to Excel.
Build flexible technical documentation with a GOV.UK style using MkDocs
🦆🥚 Demo/talk: {drake} for making a reproducible analytical pipeline for a stats report
📃📦 R package: {xaringan} theme and template, (unofficial) Government Digital Service style
🎤📎 Talk: the {a11ytables} package for R (originally for EARL 2022)
🗣️🛠️ Talk: 'Panic! In The Toolshed', Cross-Government Data Science Community of Interest, June 2023
🐈📦 Talk: making R packages for Cabinet Office Coffee & Coding
🗣️✨ R Shiny app: convert a pasted table to Govspeak Markdown (a test of Shinylive)
🔄💘 Talk: 'Hit your reproducibility {targets}', UK Government Data Science Festival, September 2020
3️⃣🔄 Talk: reproducibility in R, DfE Data Science Week 2020
🔢📘 [WIP] R package: use YAML 'blueprints' to generate best-practice stats spreadsheets for publication
🎤🕹️ Talk: 'Fun and Learning. In a Dungeon!', Home Office Data Science Conference, March 2023
🔢2️⃣ [WIP] R package: generate best-practice stats spreadsheets for publication
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