Blog

Pros, Cons and Neutrals lists?

I thought it would be interesting for me to keep better track of the Pros, Cons and Neutrals that I discover/decide on and to find a way to visualise these nicely. The idea…

Curves and stones

I’ve got a project I’m working on where I’ve been inspired by the elemental stones in the Fifth Element movie you can see to the right.

Bordering countries graph

In this post we’re going to build up this graph which shows all countries with at least one border and the connections that remain after removing countries with only a…

{highcharts} doesn’t like empty factors (and the .by argument is quite nice, actually)

Heard of {plotly} for interactive charts? I massively prefer {highcharts} as it’s more accessible, mobile friendly and simply more beautiful. Both of these packages are htmlw…

From the archive: 30DayChartChallenge 2022 Pictogram

Data visualisation

30DayChartChallenge 2022

This post has been rescued from a side-project blog that I’ve disposed of and slowly reposting content from. In this post I created one of my favourite charts:

From the archive: 30DayChartChallenge 2022 Waffles

Data visualisation

30DayChartChallenge 2022

This post has been rescued from a side-project blog that I’ve disposed of and slowly reposting content from. In this post I made this waffle chart:

How I learned to stop replicating everything from {xaringan} and love Quarto

Since the end of the rstudio::conf(2022) I’ve been working on replicating the {xaringan} RMarkdown presentation format in {quarto}. If you’ve never seen these slides before…

Creating an R-Ladies quarto format

It’s the day after rstudio::conf(2022), and like many folks in the audience I’m very excited about the future of {quarto}. (LINKS). To help me better understand the…

Overriding individual code chunk options

I’ve just moved this entire blog from {blogdown} to {quarto}. It was mostly simple but for one of the blogposts I really wanted a way to override individual code chunk…

Writing verbatim SQL in pipe chains using {dbplyr}

I’ve been trying to use the {dbplyr} package when working with SQL and R. It provides a really nice interface for writing tidyverse code against a database connection. I…

Shiny modules to reduce duplication in apps

shiny

Help reduce the duplication of code in {shiny} apps through the use of modules

Shiny modules for useful controls

shiny

If you need to re-use combinations of controls in {shiny} apps (or across multiple app) then modules can help!

One weird regex matches 97% of DOI…

reproducible research

This one weird regex matches 97% of DOI…

Where is the centre of University of Oxford?

dataviz

GIS

University of Oxford has over 800 years of history to it, but if you want to organise a meeting at the centre of campus… where do you meet?

Keeping secrets in blogdown

Keeping API keys and passwords secret in a blogdown blog using the static/ folder and the secret package.

Using ggmap after July 2018

dataviz

R

ggmap is an awesome package for creating maps with ggplot2. If you’ve seen a nice looking map built with ggplot2 I can almost guarantee you that it uses ggmap to look that…

Charlie Hadley, Charlie Joey Hadley

Christmas Drinks ggplot2 Advent Calendar 2018

dataviz

There are just about 24 Christmassy hot drinks available in the big UK cafes. I’ve made an advent calendae of them in ggplot2, read this post to find out how to do the same.

Crawling DOI from a SAGE

Recently a friend told me they were doing a systematic review of the Hand Therapy Journal published by SAGE. They wanted a way to scrape the journal for all publications -…

Great circles with sf and leaflet

GIS

Great circles are the shortest journeys between two points on a map, which can be easily computed and manipulated through the use of the excellent sf library, and visualised interactively with leaflet.

Crawling with tidygraph

In this blogpost I use crawling the internal links between pages in the University of Oxford’s Research Data website as an excuse for finally getting to grips with tidygraph and ggraph

Recipes for learning

dataviz

In this blogpost I introduce one of my favourite datasets, a treasure trove of 57,000+ recipes scraped from recipe websites for a fascinating research paper (DOI: 10.1038/srep00196) comparing how different cuisines choose ingredients. I first used this dataset in May 2015 to learn how to use R and continue to use it to test my understanding of new techniques and analysis.

Where’s the love for htmlwidgets?

dataviz

If you’ve never heard of them, htmlwidgets are an amazing part of the work that RStudio (plus ramnathv and timelyportfolio) have undertaken to make R a beautiful tool for doing data science and communicating things about your data. Using leaflet, plotly, highcharter and more it’s possible to create rich interactive charts, maps and other visualisations directly from R without having to learn JavaScript