Telegram RegisterThe public register of Telegram

Channel

Tableau в России

@tableau_ru

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,365subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001104850120
TypeChannel
Username@tableau_ru
DescriptionВсё о Tableau По всем вопросам: @n_smirnova https://t.me/tableauru_chat - чат Tableau
Created25 May 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held2
On Telegramt.me/tableau_ru

Growth

2,3656 Aug 2026, 02:42 — 2,365 subscribers6 Aug 2026, 05:48 — 2,365 subscribers6 Aug 2026, 02:426 Aug 2026, 05:48
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,363–2,367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 05:482,365no change
6 Aug 2026, 02:422,365first reading

Engagement

12 posts held, back to 6 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 2,365 subscribers
Avg views / post
288
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 12 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held12 (6 April 20253 August 2026)
Views total288
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:38 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
118
Videos
7
Links
171

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

59 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2847.5%
🔥1525.4%
😁711.9%
👏610.2%
👍35.08%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 11 of the 12 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 59reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 6 April 2025 to 3 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

3 Aug 2026, 08:11 UTC288 viewsread 7 August 2026
Photo

🚀Цифровая кафедра НИЯУ МИФИ ‘ 26 Для тех, кто хочет: 🔵бесплатно 🔵онлайн 🔵с дипломом о профессиональной переподготовке дополнить свое базовое образование востребованной IT-профессией. 🤩Регистрация до 6 сентября. В новом учебном году вас ждут как уже знакомые программы, так и абсолютно новые: 🔹Управление IT проектами 🔹Прикладной анализ данных 🔹Графический дизайн 🔹Вайб-кодинг: разработка приложений с помощью AI 🔹Б

3 Jul 2026, 11:11 UTC604 views3 reactionsread 7 August 2026
Forwarded from @gsom_spbu_officialPhoto

Визуализация данных на уровне топ-менеджмента: как это делают в ВШМ СПбГУ Летняя школа по бизнес-аналитике ВШМ СПбГУ и МФТИ набирает обороты. Одно из ярких событий программы — мастер-класс «BI и визуализация данных: теория», который провела Наталья Киселева (Data-Comics), эксперт в области data-сторителлинга. Что делает этот мастер-класс особенным? 🔸Во-первых, уникальные кейсы Участники работали не с абстрактными

👏21

1 Jul 2026, 12:05 UTC547 views1 reactionsread 7 August 2026
Forwarded from @cryptoEssay

Завтра делаем открытый эфир о том как крупнейшие компании проходят процесс ИИ-трансформации. Роман Бунин из Nebius и Антон Граборов из Альфа-Капитал: как крупные компании внедряют AI Это выпускники лаборатории AI-native, с ними разберём, как внедряют AI-native подход внутри больших организаций: с регуляторикой, наследием процессов, продуктовой сложностью и ценой ошибки. ​Подсмотрим в процессы: 📝 Романа Бунина – AI

1

8 Jun 2026, 13:15 UTC899 views3 reactionsread 7 August 2026
Photo

⚡️Вышло новое исследование Self-Service-круг Громова 2026 Оно показывает, как российские платформы помогают бизнес-пользователям работать автономно во всей архитектуре данных, а не только в BI. В отчет вошло 20+ российских решений: от BI, ETL и IBP-систем до облачных сервисов и платформ по работе с семантическим слоем. Среди которых: Yandex DataLens, Modus BI/ETL, Loginom, Dat. ax, DataForge,Visiology, PIX BI, Rape

🔥3

6 Jan 2026, 20:30 UTC≈1,580 views14 reactionsread 7 August 2026

В рамках RSTUG (Russian Speaking Tableau User Group) мы ждем всех желающих на нашем мероприятии по визуализации случайного набора данных! Мы будем онлайн и оффлайн! Наша команда активно готовится к следующей встрече, и нам хотелось бы узнать о вашем желании присутствовать лично на этом мероприятии В этот раз, личная встреча пройдет в г. Амстердам, 4 февраля 2026 года, и мы надеемся что кто-то из вас сможет быть личн

10🔥3👏1

20 Nov 2025, 11:23 UTC≈1,940 views3 reactionsread 7 August 2026
Photo

«Круги Громова» представили новое исследование российского рынка ETL 2025 В новом исследовании «ETL Круг Громова 2025»: 🔹 Сравнение российских ETL-платформ с Apache Airflow и NiFi. 🔹 Подробный анализ функциональности и производительности большинства отечественных ETL-решений по 200+ критериям. 🔹 Результаты выполнения вендорами тестового задания по загрузке 40 млн строк данных. Полный отчёт доступен на сайте проекта

🔥3

26 Sept 2025, 22:29 UTC≈2,020 views4 reactionsread 7 August 2026
Photo

💫 Какими новыми фичами радует разработчиков Tableau в 2025 году? На повестке компании — AI Agent (и мы это скоро тоже обсудим), но сначала присмотримся к последним апгрейдам самого Десктопа — простым радостям как, например, динамические параметры для карт (Dynamic Spatial Parameters). Приглашаем на открытое техревью, где разберем все понравившиеся нам новинки версий 25.1 и 25.2, с прицелом на практику. Некоторое и

3👏1

3 Jun 2025, 15:52 UTC≈2,530 views3 reactionsread 7 August 2026
Forwarded from @t_bank_dataPhoto

В первом квартале 2025 россияне потратили на бани 13,6 млрд рублей Издание «Бизнес-секреты» в рамках аналитического проекта T-Data изучило, как и сколько россияне тратят на посещение бань, саун и покупку товаров для бань. 🛀 В I квартале 2025 года общие расходы россиян на «Услуги саун, бань и душевых» составил 13,6 млрд рублей. Это почти на 20% больше по сравнению с аналогичным периодом прошлого года. 🚿 Больше всег

2👏1

7 May 2025, 10:43 UTC≈2,290 views4 reactionsread 7 August 2026
Forwarded from @t_bank_dataPhoto

После свадьбы доля трат на общепит сокращается на 10%, а траты на детские товары растут Т—Ж в рамках аналитического проекта T-Data изучил, как меняются расходы россиян после вступления в брак, а также как тратят деньги в месяц и в день заключения брака. 💸 В месяц свадьбы траты женщин на 35,6%, а мужчин — на 43,4% выше, чем средние ежемесячные траты в течение года перед свадьбой. После свадьбы траты остаются на повы

😁4

24 Apr 2025, 09:46 UTC≈2,210 views3 reactionsread 7 August 2026

🎯 Готовитесь к сертификации Tableau Certified Data Analyst? Этот GPT создан на основе официального гайда Tableau и поможет проверить знания перед экзаменом: 👉 Tableau Certified Data Analyst Exam GPT Делитесь впечатлениями! #Tableau #TableauCertification

3

16 Apr 2025, 19:02 UTC≈2,200 views4 reactionsread 7 August 2026
Forwarded from @dataviznewsPhoto

🦍 Небольшой прорыв в AI x Data Vis. Только что выпущенная модель o3 самостоятельно понимает, что загруженный в нее датасет является фейковым и распознает на нем гориллу! Все прошлые модели от OpenAI и Anthropic при просьбе проанализировать данные в лучшем случае могли сказать, что те выглядят искусственно. А при просьбе пристально посмотреть на график могли увидеть там мультяшный образ — Pepe the Frog или Baby Yoda

😁3👍1

6 Apr 2025, 22:42 UTC≈2,150 views17 reactionsread 7 August 2026
Forwarded from @revealthedataPhoto

🤖 Cursor vs Tableau Не могу пропустить хайповую тему про вайб-кодинг. Попробовал использовать Cursor, чтобы создать интерактивный дашборд на базе Sample Superstore. На вход я дал ручную зарисовку макета, данные и описание, что хочу. Дальше шаг за шагом добавлял интерактивность, правил ошибки по работе с данными и настраивал стили. Ну что же, это правда работает. Работает сильно лучше чем 2 года назад и в 100 раз удо

8🔥6👍2👏1

Showing the 12 most recent of 12 posts we hold for @tableau_ru. 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.

Citation-graph rank

Citation-graph rank — 989,256 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 6 August 2026 — this entry's latest reading, not the date you are reading this.

“Tableau в России” (@tableau_ru), 2,365 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/tableau_ru.

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.