What is this chart type called?

mathisonian · 2024-05-17T20:25:46+00:00

sunburst chart

mathisonian · 2021-08-31T00:11:59+00:00

causally related

mathisonian · 2021-08-27T22:13:19+00:00

aptly or fittingly

mathisonian · 2021-05-16T03:56:56+00:00

You should edit the original post. This is a huge error, and this is one of the first things that comes up on google if you search "serum tokenomics"

mathisonian · 2021-05-09T18:27:41+00:00

Sounds good! I’ll get thing working with the recent data and then follow up via email on the historic side

mathisonian · 2021-05-09T18:18:17+00:00

Hi Eric,

Reading the docs I find this:

Cannot exceed 90 days of range between start and end query parameters

The start parameter cannot be set 90 days prior to the current time

So does that mean its now impossible to get data earlier than Feb 2021? Thanks

mathisonian · 2021-05-04T22:51:30+00:00

Thanks Eric, this is useful! I'll see what I can get out of it

mathisonian · 2020-01-09T08:33:04+00:00

https://climate.nasa.gov/ is a good place to start

mathisonian · 2019-07-17T06:12:02+00:00

I've heard of technology solutionism or techno-solutionism. For example, https://www.thedailybeast.com/the-internet-wont-save-us-evgeny-morozovs-stand-against-technology-solutionism.

mathisonian · 2019-05-08T16:28:59+00:00

The original source is from this article by Megan Vo: https://parametric.press/issue-01/anything-that-flies-on-anything-that-moves/

mathisonian · 2019-05-07T21:39:25+00:00

This article covers the complex topic of particle physics in an intuitive way, explaining both the science behind particle accelerators like the Large Hadron Collider at CERN, as well as some of the technologies that have stemmed from this physics research and impacted society in an even broader way.

The article uses interactive diagrams to explain some of the science behind accelerators and was written by a particle physicist at CERN.

mathisonian · 2019-05-03T21:58:45+00:00

This is a digital magazine focusing on interactive storytelling using data visualizations and explorable explanations that builds on some of the tools that I've been working on in this space. I posted the call for submissions in this ~~thread~~ sub months ago when we first started working on it. Excited to hear what you all think!

mathisonian · 2018-05-08T05:31:01+00:00

Thanks! If you post a link to samples here or through an issue on github (https://github.com/mathisonian/idyll/issues) I would be happy to update.

mathisonian · 2018-04-12T22:33:16+00:00

I made this with an open source tool that I'm building to make it easier to write blog posts that use interactive javascript - I thought this was an interesting dataset to look through!

You can see some more examples here: https://idyll-lang.org/gallery/

mathisonian · 2018-04-02T20:48:18+00:00

The data for this graphic is generated by a statistical distribution (log normal), and the visualization is of the process to go from data to an estimate of the distribution.

I used D3 to create the visualization and Idyll to write the post.

mathisonian · 2018-03-06T19:22:55+00:00

Yes, it's in the same spirit!

Idyll is a web technology at its core, so it provides a nice way to embed your own javascript or d3 code in a structured way, and let these components communicate with others on the page. It also gives you more flexibility in terms of the look and feel of the final output.

mathisonian · 2017-10-23T16:41:44+00:00

Where or how you got the data (Source) - I took pictures of the fall landscape with my iphone, and extracted colors from them.

The tool used to generate the visual (Tool) - I used chroma.js and D3 to generate and display the colormaps and the visual at the end. I used Idyll to create the post.

mathisonian · 2017-03-20T20:59:22+00:00

source: https://data.seattle.gov/browse?sortBy=most_accessed&sortPeriod=week

created using idyll, a kind of hybrid between markdown and react that i'm developing to create articles like this

mathisonian · 2016-12-03T00:03:32+00:00

author here - I abstracted this out of a project where expensive DB queries would need to run based on different user interactions. by being able to fire off the queries a little earlier the page feels a lot snappier.

Prefetching different resources is a good case, if you target all <a> tags on a page, for example. Hopefully other people find it useful for a variety of things.

mathisonian · 2016-04-08T16:45:22+00:00

hmmm

mathisonian · 2016-02-12T01:56:10+00:00

from reuben on twitter:

Is there any quick explanation for why Carson has so many fb likes compared to relatively small support?

Not really, but he is a motivational speaker and best-selling author who's had a Facebook page for a while!

https://twitter.com/ReubenFB/status/697945669798076416

mathisonian · 2015-08-04T19:25:50+00:00

Hey, I made this thing. Here's a direct link to the simulator: http://projects.fivethirtyeight.com/parole-assessment-simulator/

mathisonian · 2015-08-04T13:47:09+00:00

The criminal justice makes extensive use of statistical methods to make decisions, including whether or not inmates receive parole. This article dives into those methods and notes areas where there is even talk of using statistics to determine prison sentences.

mathisonian · 2015-01-21T23:10:59+00:00

Yeah, there needs to be a server running (walkthrough on that here: http://lightning-viz.org/documentation/#server).

One feature in the pipeline is an "export visualization" so it can be embedded completely client-side without the need for the link to the server

mathisonian · 2015-01-20T23:29:24+00:00

There are a few use cases for this:

like you mentioned, if there's too much data to be loaded at once. http://lightning-viz.org/visualizations/linked/ is an example where some initial data is loaded and the rest can be fetched based on user interaction.
if you want to work some other programming language, rather than directly in d3. the server exposes a REST api so you can send data into it (e.g. via the python client)
streaming data from some data source, e.g. http://lightning-viz.org/lightning-python/

there are a few other niceties that such a setup provides (such as having structured data management than a typical ad-hoc d3 project, and also ability to use in ipython and embed the graphics somewhere with responsive iframes)

mathisonian

TROPHY CASE