Is the chart below readable?

I do those charts mainly for myself, but also for testing different things to improve my dataviz skills.

How am I doing? Can you read it?

#running #runnersofmastodon #data #dataviz #datavis #datavisualization

Variants chart script has been revised. Bundling logic included a rule that was privileging Stratus XFG lineages.

Most recent #CDC dataset, updated yesterday, shows two Stratus XFG variants gaining ground against their dynastic cousins.

Meanwhile, Nimbus 1.8.1 / PQ family also gains share, lead by the XFY recombinant with XFG.5.1.

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

Raj's dashboard, updated six weeks ago, showed Stratus dynasty diversifying, with Stratus-Eleventy XFG.1.1 as first child, RP, approached sixth share of sequences, while XFG.14 line held below a tenth.

That said, GISAID data for the two weeks and change at the end of the most recent reporting period was dominated by paltry submissions from Nebraska (146 sequences), Wisconsin (140), Minnesota (128), Colorado (122), New York (91) and Illinois (78).

#ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Most recent #CDC dataset, updated yesterday, shows now seven XFG lineages, including recombinant XFY. These reflect strains as broken out by CDC in recent months, together squeezing out patriarch and remaining siblings, cousins & niblings.

Meanwhile, Nimbus 1.8.1 / PQ family, is presently shown as holding out relative to XFG dynasty.

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

Raj's dashboard, updated six weeks ago, showed Stratus dynasty diversifying, with Stratus-Eleventy XFG.1.1 as first child, RP, approached sixth share of sequences, while XFG.14 line held below a tenth.

That said, GISAID data for the two weeks and change at the end of the most recent reporting period was dominated by paltry submissions from Nebraska (146 sequences), Wisconsin (140), Minnesota (128), Colorado (122), New York (91) and Illinois (78).

#ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

#Annoplot #dataviz has had only minor maintenance this month. Previous status found here:

https://beige.party/@beadsland/116049587908706944

Maintenance included diagnostic logging and further tweaks to bundling and color assignments, in support of dynamic legend pruning; also expansion of criteria and squishing a one-line bug for footnotes.

Root level scripting included a rough plot of incarcerated populations by census block record:

https://beige.party/@beadsland/116125341132396326

This was restricted to a single root level script, not presently reliant on Annoplot library, and thus did not appreciably increase line count. Eventually this will be transitioned over to Annoplot, in the course of prototyping new geographical charting #datavis.

Recent @DSLC club meetings:

:python: Devops for Data Science: Chapter Q&A with Author Alex Gold https://youtu.be/SbKo78fffwo #RStats #PyData #DevOps

From the @DSLC ​chives:

 Data Visualization with R: Univariate Graphs https://youtu.be/nbMfeIrJFio #RStats #datavis #dataviz #dataVisualization

Support the Data Science Learning Community at https://patreon.com/DSLC

Devops for Data Science: Q&A with Author Alex Gold (do4ds02 )

YouTube
Rust Engineer

DuckDB Labs provides services around the DuckDB in-process OLAP data management system directly from its main developers.

I just released pyglobegl 0.8.0 to PyPi to support the Hex Bin layer. This layer was a challenge as globe.gl relies on frontend JavaScript functions being passed to do hex height and colour calculations. I'm trialling an integration with #pyscript to let you write those functions in #python #datavis

Most recent #CDC dataset, updated yesterday, shows five XFG lineages, reflecting variants broken out by CDC in recent months, together squeezing out patriarch and remaining siblings, cousins & niblings.

Meanwhile, Nimbus 1.8.1 / PQ family, previously shown as in decline relative to XFG dynasty, is now shown as rapidly gaining share.

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

Raj's dashboard, updated two week ago, showed Stratus dynasty diversifying, with Stratus-Eleventy XFG.1.1 as first child, RP, approached sixth share of sequences, while XFG.14 line holds below a tenth.

That said, GISAID data for the two weeks and change at the end of the most recent reporting period was dominated by paltry submissions from Nebraska (146 sequences), Wisconsin (140), Minnesota (128), Colorado (122), New York (91) and Illinois (78).

#ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Time is fundamental to understanding the position of a star in our sky.

Our clocks follow Earth’s rotation relative to the Sun. But how do we measure time relative to the stars?

In this tutorial series, I explore Sidereal Time, how to predict which stars you see, and how to build a star plot step by step, including converting the math into JavaScript for creative coding.

https://ideable.dev/starplot/02-sidereal-time.html

#Astronomy #CreativeCoding #JavaScript #SiderealTime #DataVis #Space #STEM

Sidereal Time & The Rotating Sky — ideabile