Zoë Turner's Projects
An area for snippets bits of code, links to data with explanations on how to use.
monstR is an R package that queries the Office for National Statistics (ONS) API to download data. monstR makes it easy to retrieve publicly available ONS data and meta data.
A repository to share code, good practice, resources, and knowledge about using R across NHS England.
We are working with the NHS-R community to develop a python implementation of 'NHSRplotthedots' SPC package to support NHSE/I 'Making Data Count' programme
Lightning Talk for NHSR Conference 2020
A repository for Rmarkdown files and other files associated with blog posts
Free NHS and healthcare related datasets for training and learning R
Data set preparation for ONS datasets.
Open Source Policy development for the NHS
Make data-driven organisation charts
fast, flexible patient census tables. Quickly count patients or resources by interval. No SQL, no problem.
UK organisation pay gap Shiny application to show mean and median in terms of date where equal pay stops.
This is my website of projects, talks and blogs, built using the Hugo Apéro template.
This is my personal blog.
Praise useRs when they have done something good, or when they just need it
Presentations slides: https://lextuga007.github.io/Presentations
Quarto website
:white_flower::scroll: R package: RStudio Addin to insert ('stamp') useful Quarto elements
R for data science: a book
R for Excel users workshop materials for the NHS-R 2020 conference
Source code and files for Real World Data Science website.
Documents to download related to the RMarkdown workshop (originally ysc2019)
Working through the RMarkdown workshop from Alison Hill
Working through the RMarkdown workshop from Alison Hill
Slides and course material based on the RStudio communicate-rmd-workshop and NHS-R's intro-rmd
An app to compare local data with public demographic data.
This class will teach you the basics of Shiny app programming, giving you skills that will form the basis of almost any app you want to build. By the end of the class, you will have created a custom app that collects and saves data, allows users to dynamically visualize the data, and produces downloadable reports.