25 Nov 2020, 23:38 UTC249 viewsread 10 August 2026
кто собирает ковидные дашборды - тут есть еще подборочка https://medium.com/nightingale/information-design-round-up-covid-19-edition-edc117af32e8
Channel
Coronavirus: Visualization and Analytics
@coronavirus2020vis
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
36subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001357470865 |
|---|---|
| Type | Channel |
| Username | @coronavirus2020vis |
| Description | Visualizations and Data Publications related to the 2019-nCoV coronavirus situation ———— Channel by Interacta https://interacta.io http://rokotyan.com |
| Created | 28 February 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 10 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/coronavirus2020vis |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 22:31 | 36 | no change |
| 7 Aug 2026, 01:59 | 36 | first reading |
Engagement
19 posts held, back to 28 April 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 25 November 2020. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 22
- Videos
- 1
- Links
- 89
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
13 Nov 2020, 04:11 UTC243 viewsread 10 August 2026
https://twitter.com/benmschmidt/status/1326982062696501248
11 Nov 2020, 16:00 UTC160 viewsread 10 August 2026
https://twitter.com/ixt/status/1326419567929929728
11 Nov 2020, 02:31 UTC139 viewsread 10 August 2026
https://twitter.com/jure/status/1326262455773884421
5 Nov 2020, 13:37 UTC121 viewsread 10 August 2026
Forwarded from @data_csvPhoto
Все ведущие американские СМИ и их дата-отделы сейчас сосредоточены на выборах. Карты с результатами и прогнозы я намеренно игнорирую, а вот это исследование Блумберга кажется интересным. Дело в том, что Трамп ведёт опасную политику в отношении COVID-19 и преуменьшает опасность болезни. Он, например, не настаивает на масках — их в Америке носить не обязательно. Журналисты наложили на карту два параметра — высотой ст…
30 Oct 2020, 02:34 UTC112 viewsread 10 August 2026
https://twitter.com/BBGVisualData/status/1321861614648393728
22 Oct 2020, 16:06 UTC601 viewsread 10 August 2026
Распространение COVID в Бельгии (оценка кол-ва случаев на 100 000 человек). https://twitter.com/stijntallir/status/1318930236420096003
19 Oct 2020, 20:35 UTC125 viewsread 10 August 2026
Forwarded from @dataviznewsVideo
Новая публикация The New York Times с эффектным таймлапсом о выявляемых случаях COVID-19 с начала эпидемии. https://www.nytimes.com/interactive/2020/10/15/us/coronavirus-cases-us-surge.html
19 Oct 2020, 20:34 UTC91 viewsread 10 August 2026
Forwarded from @data_csvPhoto
FT собрали в большой визуальный спецпроект самые интересные факты про COVID-19 — рассказывают, как вспышки эпидемии возникали в разных странах, чем отличались их пути, в чём проблема подсчётов смертности и как болезнь развила политический кризис в США. В целом, ничего нового — скорее такой красивый справочник, по которому лет через 10 можно будет рассказывать детям, в каком ужасе мы жили в 2020 году. https://ig.ft.…
19 Oct 2020, 20:34 UTC86 viewsread 10 August 2026
🌊 Похоже, в связи со второй волной эпидемии, стоит возобновить пополнение этой коллекции интересных ковидных визуализаций!
13 Jun 2020, 21:31 UTC137 viewsread 10 August 2026
https://sdm.mit.edu/view-mits-covid-19-impact-in-interactive-map/
1 Jun 2020, 07:17 UTC97 viewsread 10 August 2026
Forwarded from @revealthedata
Собрал 4 примера визуализаций про COVID-19 без смертей и заболевших. Про то, как вирус повлиял на повседневную жизнь: https://revealthedata.com/examples/digest/all/zhizn-do-i-posle-covid-19-bez-smertey-i-zabolevshih/
Showing the 12 most recent of 19 posts we hold for @coronavirus2020vis. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Coronavirus: Visualization and Analytics” (@coronavirus2020vis), 36 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/coronavirus2020vis.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.