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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Сеть:📈 Аналитический обзор Telegram-канала Data Analytics
Канал Data Analytics (@dataanalyticsx) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 30 849 подписчиков, занимая 4 305 место в категории Технологии и приложения и 20 802 место в регионе Россия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 30 849 подписчиков.
Согласно последним данным от 27 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 477, а за последние 24 часа — -3, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.23%. В первые 24 часа после публикации контент обычно набирает 1.50% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 613 просмотров. В течение первых суток публикация набирает 464 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 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.
30 849
Подписчики
-324 часа
+457 дней
+47730 дней
Архив постов
30 848
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If you want to become a Data Analyst or Data Scientist, these are the Python concepts you should master first:
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dropna() → remove missing values
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