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Data Analytics

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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Аналитический обзор Telegram-канала Data Analytics

Канал Data Analytics (@dataanalyticsx) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 29 013 подписчиков, занимая 4 713 место в категории Технологии и приложения и 22 694 место в регионе Россия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 29 013 подписчиков.

Согласно последним данным от 19 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 510, а за последние 24 часа — -3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.84%. В первые 24 часа после публикации контент обычно набирает 1.21% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 824 просмотров. В течение первых суток публикация набирает 350 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как sellerflash, buybox, buyer, chaos, effortless.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

Благодаря высокой частоте обновлений (последние данные получены 20 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

29 013
Подписчики
-324 часа
+677 дней
+51030 день
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Repost from Data Science Books
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