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Data Analytics

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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Machine Learning with PythonСеть:Machine Learning with PythonРоссия20 799Технологии и приложения4 306

📈 Аналитический обзор Telegram-канала Data Analytics

Канал Data Analytics (@dataanalyticsx) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 30 854 подписчиков, занимая 4 306 место в категории Технологии и приложения и 20 799 место в регионе Россия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 30 854 подписчиков.

Согласно последним данным от 26 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 553, а за последние 24 часа — 11, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.22%. В первые 24 часа после публикации контент обычно набирает 1.55% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 610 просмотров. В течение первых суток публикация набирает 479 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
  • 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 28 октября, 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.

30 854
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+1124 часа
+737 дней
+55330 дней
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Data Analytics
Data Analytics
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