So, pre-race analysis part one: Check the course profile.

Why is that useful?

I have done that on an upcoming race, and this is what I learnt so far:
The race start after 15kms , if my legs are not fresh there, it is game over.

The blue line is the accumulated elevation gain per 5kms.

T=time tracking
V = water + food station

Next = how much food and water i need to carry. That is a fun one as I need some manual data collection

Had some fun plotting colors in 3D for #TidyTuesday #PydyTuesday

The top 100 color names in the 2010 xkcd color name survey by hue, lightness and saturation. Interactive chart made with python + plotly + quarto https://inside-numbers.quarto.pub/top-100-color-names/

Code: https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#072025-color-names

My monthly #Arctic temperature graphics have just been updated through June 2025: https://zacklabe.com/arctic-temperatures/

Updated every month: Access the raw datasets behind every #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated.
https://informationisbeautiful.net/data/

There's a whole bunch of recent #ThingUmbrella updates which I still have to write about, but one of the things is the reworked, improved and more customizable optical flow (aka https://thi.ng/pixel-flow package). The visualization in this test video is showing it in action via color-coded overlaid flow field vectors (once again worst-case scenario for video compression, let's see how it comes out [or not...])

My #Arctic sea-ice thickness and volume graphics are now updated for June 2025. This month was the 2nd lowest June volume on record. https://zacklabe.com/arctic-sea-ice-volumethickness/

Does any of you #datavis | #dataviz nerds can recommend good collections (ideally with examples) of manipulative patterns in data visualisations?
I'd need it for edu purposes :)

Why I’d relocate to Seattle-Tacoma-Bellevue
Evergreen vibes
Tech + diverse economy
Big, balanced metro with a large talent pool

50.64% female population
Gender ratio + growth = ideal for connection, work, and lifestyle.

For #TidyTuesday, we're looking at weekly gas prices in the USA from 1990 to present day

Horizon plot made with {ggHoriPlot}
Colours from {PrettyCols}
Annotations with {ggtext}

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-01

I have a new 'climate viz of the month' blog posted, which dives into a visualization and description of future Arctic sea ice cover: https://zacklabe.com/climate-viz-of-the-month/

I don’t know much about basketball…
But I do know data.
And the data says: this is my starting five.

I crunched 2024 NBA stats to build the “perfect team” by position.
Not headlines. Just cold stats and hot picks.

Bonus: yes, that’s my logo bouncing through Jayson Tatum’s numbers.

I have now all activities I have ever recorded on a sport watch with location in one big poster. It is color coded by activity type and has a nice summary at the bottom.

I copied the aesthetics from here:
https://github.com/flopp/GpxTrackPoster

(You can use their code to create your own!)

Ever wonder where all the Wendy’s are today? I visualized their national presence, state-by-state, using open data and custom tools.

Plus, I animated a few milestone moments in their history for some extra sauce.

Explore the full project + download the map & data:
https://www.bamlytics.com/projects.html

Built with #Bamlytics, powered by public data.
Independent tools for curious minds & small business pros.

Prawo Benforda, znane również jako prawo pierwszej cyfry, może być użytecznym narzędziem w wykrywaniu anomalii.

Rozkład liczb w wynikach R. Trzaskowskiego w komisjach wyborczych w drugiej turze wyborów prezydenckich w Polsce nie przypomina rozkładu Benforda.

A nice visual exploration of 1,656 conversations: 7+ million words, 850 hours.

"By the end of these conversations, several participants seemed to realize that they may never see their conversation partner again, and had to say their bittersweet goodbyes."

https://pudding.cool/2025/06/hello-stranger/

Data: https://www.science.org/doi/10.1126/sciadv.adf3197

PyQGIS-Video: Massenberechnung mit QGIS / Mass calculation with QGIS https://geoobserver.de/2025/06/19/pyqgis-video-massenberechnung-mit-qgis/ #qgis #switch2qgis #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #opensource #mapping #DataViz #gis #geo #geoObserver pls RT via @PyQgis