#criticaldatavis

Live, measured metrics for the hashtag #criticaldatavis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.6
Avg reactions / post
Mastodon · last 7

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 09:59 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 09:59 UTC

No related tags with measured usage found for #criticaldatavis.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:59 UTC

Everything below is measured over the latest 7 public posts (spanning ~27326 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7)

Avg boosts / post: 6.3

Top of the latest posts

  • Part I of CG&A SI on #CriticalDataVis is out https://www.computer.org/csdl/magazine/cg/2025/03 and we contribute two papers on interactivity and storytelling in #DataVis: Toward Collective Storytelling: Investigating Audience Annotations in

    Marian Dörk@[email protected]♥ 2↻ 42025-07-22 07:14 UTCView post →

  • Revisiting Data by Design: An Interactive History of Data Visualization by @laurenfklein and the team at Emory University. Such a neat way to present the history of data visualization: https://dev.dataxdesign.io While the book is forthcomin

    Marian Dörk@[email protected]♥ 1↻ 182025-07-28 19:34 UTCView post →

  • with Data by Design @laurenfklein and team offer a counter history of data visualization in the form of an interactive book featuring a range of visual and interactive materials to engage with – the project is now up for community review: h

    Marian Dörk@[email protected]♥ 1↻ 142024-05-26 06:51 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/criticaldatavis