#distributionfitting
Live, measured metrics for the hashtag #distributionfitting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #distributionfitting
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-16 15:15 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-16 15:15 UTCNo related tags with measured usage found for #distributionfitting.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-16 15:15 UTCEverything below is measured over the latest 5 public posts (spanning ~4687 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 2.8
Top of the latest posts
New LabPlot tutorial https://tube.kockatoo.org/w/9Kmqeefqw35EpEZj914N5p In this short video you'll learn how to how to fit a distribution to data. #DistributionFitting #GaussianDistribution, #Log-normalDistribution #Probability Distribution
Quick DISTRIBUTION FITTING with https://floss.social/@LabPlot in five easy steps: 1. Select a data column in a spreadsheet. 2. Context menu > Plot Data > Histogram. 3. Select the histogram. 4. Context menu > Analysis > Fit your distribution
New LabPlot tutorial: https://youtu.be/g0OQrAVwsTw In this short video you'll learn how to fit a distribution to data. #DistributionFitting #GaussianDistribution, #Log-normalDistribution #ProbabilityDistribution #PoissonDistribution #Binomi
#distributionfitting across platforms
every network with a public tag surfaceFollow #distributionfitting straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/distributionfitting