A fascinating four-part series by Lisa Charlotte Muth on colour in data visualisations:
Saturday, February 19th, 2022
Thursday, February 3rd, 2022
This is a great combination of rigorous research and great data visualisation.
Thursday, October 7th, 2021
Download this PDF to see 100 beautiful literary visualisations.
Saturday, October 2nd, 2021
Tuesday, March 23rd, 2021
Visualising the growth of the internet.
Sunday, February 28th, 2021
A beautiful interactive visualisation of every paper published in Nature.
Saturday, February 20th, 2021
Draw an iceberg and see how it will float.
Sunday, January 31st, 2021
There are some beautiful illustrations in this online exhibition of data visualisation in the past few hundred years.
Sunday, January 17th, 2021
A lovely visualisation of asteroids in our solar system.
Monday, November 16th, 2020
A handy tool for getting an overview of your site’s CSS:
CSS Stats provides analytics and visualizations for your stylesheets. This information can be used to improve consistency in your design, track performance of your app, and diagnose complex areas before it snowballs out of control.
Friday, November 13th, 2020
What you see is the big map of a sea of literature, one where each island represents a single author, and each city represents a book. The map represents a selection of 113 008 authors and 145 162 books.
This is a poetic experiment where we hope you will get lost for a while.
Sunday, October 18th, 2020
A timeline showing the history of non-digital dataviz.
Friday, July 31st, 2020
A really lovely unmonetisable enthusiasm:
All 2,242 illustrations from James Sowerby’s compendium of knowledge about mineralogy in Great Britain and beyond, drawn 1802–1817 and arranged by color.
Saturday, May 23rd, 2020
I must admit I’ve been wincing a little every time I see a graph with a logarithmic scale in a news article about COVID-19. It takes quite a bit of cognitive work to translate to a linear scale and get the real story.
Saturday, April 25th, 2020
At the beginning of the year, Remy wrote about extracting Goodreads metadata so he could create his end-of-year reading list. More recently, Mark Llobrera wrote about how he created a visualisation of his reading history. In his case, he’s using JSON to store the information.
This kind of JSON storage is exactly what Tom Critchlow proposes in his post, Library JSON - A Proposal for a Decentralized Goodreads:
Thinking through building some kind of “web of books” I realized that we could use something similar to RSS to build a kind of decentralized GoodReads powered by indie sites and an underlying easy to parse format.
His proposal looks kind of similar to what Mark came up with. There’s a title, an author, an image, and some kind of date for when you started and/or finished reading the book.
Matt then points out that RSS gets close to the data format being suggested and asks how about using RSS?:
Rather than inventing a new format, my suggestion is that this is RSS plus an extension to deal with books. This is analogous to how the podcast feeds are specified: they are RSS plus custom tags.
Like Matt, I’m in favour of re-using existing wheels rather than inventing new ones, mostly to avoid a 927 situation.
But all of these proposals—whether JSON or RSS—involve the creation of a separate file, and yet the information is originally published in HTML. Along the lines of Matt’s idea, I could imagine extending the
h-entry collection of class names to allow for books (or films, or other media). It already handles images (with
u-photo). I think the missing fields are the date-related ones: when you start and finish reading. Those fields are present in a different microformat,
h-event in the form of
dt-end. Maybe they could be combined:
<article class="h-entry h-event h-review"> <h1 class="p-name p-item">Book title</h1> <img class="u-photo" src="image.jpg" alt="Book cover."> <p class="p-summary h-card">Book author</p> <time class="dt-start" datetime="YYYY-MM-DD">Start date</time> <time class="dt-end" datetime="YYYY-MM-DD">End date</time> <div class="e-content">Remarks</div> <data class="p-rating" value="5">★★★★★</data> <time class="dt-published" datetime="YYYY-MM-DDThh:mm">Date of this post</time> </article>
That markup is simultaneously a post (
h-entry) and an event (
h-event) and you can even throw in
h-card for the book author (as well as
h-review if you like to rate the books you read). It can be converted to RSS and also converted to
.ics for calendars—those parsers are already out there. It’s ready for aggregation and it’s ready for visualisation.
I publish very minimal reading posts here on adactio.com. What little data is there isn’t very structured—I don’t even separate the book title from the author. But maybe I’ll have a little play around with turning these h-entries into combined h-entry/event posts.
Thursday, February 20th, 2020
The beautiful 19th century data visualisations of Emma Willard unfold in this immersive piece by Susan Schulten.
Saturday, February 15th, 2020
An absolutely gorgeous piece of hypermedia!
Data visualisations and interactive widgets enliven this maze of mathematics. Dig deep—you may just uncover the secret passages that join these concepts together.
Saturday, January 25th, 2020
A lovely little bit of urban cartography.
Monday, January 20th, 2020
Friday, December 13th, 2019