#ggplot2internals
Live, measured metrics for the hashtag #ggplot2internals from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 06:37 UTC0 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 2026-07-27 06:37 UTCNo related tags with measured usage found for #ggplot2internals.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 06:37 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Used together with
No co-used tags in the sample.
Top of the latest posts
This 'delete the faceting variable' to make ref layer, gives you a pretty cool result. It feels a little surprising to me that it even works... Would like to 'get' why it does better... #ggplot2internals slides: https://evamaerey.github.io/
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/ggplot2internals