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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Сітка:📈 Аналітичний огляд Telegram-каналу Data Analytics
Канал Data Analytics (@dataanalyticsx) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 30 849 підписників, посідаючи 4 305 місце в категорії Технології та додатки та 20 802 місце у регіоні Росія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 30 849 підписників.
За останніми даними від 27 жовтня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 477, а за останні 24 години на -3, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 5.23%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.50% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 1 613 переглядів. Протягом першої доби публікація в середньому набирає 464 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як sellerflash, buybox, buyer, chaos, effortless.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Завдяки високій частоті оновлень (останні дані отримано 28 жовтня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
30 849
Підписники
-324 години
+457 днів
+47730 днів
Архів дописів
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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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