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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 PythonСітка:Machine Learning with PythonРосія21 560Технології та додатки4 342

📈 Аналітичний огляд Telegram-каналу Data Analytics

Канал Data Analytics (@dataanalyticsx) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 29 841 підписників, посідаючи 4 342 місце в категорії Технології та додатки та 21 560 місце у регіоні Росія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 29 841 підписників.

За останніми даними від 28 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 261, а за останні 24 години на 5, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 4.98%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.63% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 486 переглядів. Протягом першої доби публікація в середньому набирає 487 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 2.
  • 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 29 серпня, 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.

29 841
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Немає даних7 днів
+26130 день
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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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1. What is the output of this code? 
import pandas as pd
idx = pd.Index(['a', 'b', 'c'])
print(idx.is_unique)
A. False B. True C. Raises AttributeError D. None Correct answer: B. 2. What does this code return? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.set_index('a').index.name)
A. None B. 'index' C. 'a' D. Raises KeyError Correct answer: C. 3. What is the result? 
import pandas as pd
s = pd.Series([1, 2, 3])
print(s.add(1).tolist())
A. [1, 2, 3] B. [2, 3, 4] C. [1, 3, 5] D. Error Correct answer: B. 4. What does this code output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.nlargest(2, 'a')['a'].tolist())
A. [1, 2] B. [2, 3] C. [3, 2] D. [3, 1] Correct answer: C. 5. What is printed? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.nsmallest(1, 'a').iloc[0, 0])
A. 1 B. 2 C. 3 D. Error Correct answer: A. 6. What does this code return? 
import pandas as pd
s = pd.Series([1, 2, 3])
print(s.diff().isna().sum())
A. 0 B. 1 C. 2 D. 3 Correct answer: B. 7. What is the output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.cumsum()['a'].iloc[-1])
A. 3 B. 5 C. 6 D. Error Correct answer: C. 8. What does this code produce? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
print(df.pipe(lambda x: x.shape))
A. (1, 4) B. (2, 2) C. (4, 1) D. Error Correct answer: B. 9. What is returned? 
import pandas as pd
s = pd.Series([10, 20, 30])
print(s.take([2, 0]).tolist())
A. [10, 20] B. [30, 10] C. [20, 30] D. Error Correct answer: B. 10. What does this output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.any().iloc[0])
A. False B. True C. None D. Error Correct answer: B. 11. What is the result? 
import pandas as pd
df = pd.DataFrame({'a': [0, 0, 1]})
print(df.all().iloc[0])
A. True B. False C. None D. Error Correct answer: B. 12. What does this code return? 
import pandas as pd
s = pd.Series(['a', 'b', 'c'])
print(s.repeat(2).shape)
A. (3,) B. (6,) C. (2, 3) D. Error Correct answer: B. 13. What is printed? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.melt().shape)
A. (1, 3) B. (3, 2) C. (3, 1) D. (1, 2) Correct answer: B. 14. What does this code output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.stack().shape)
A. (3,) B. (3, 1) C. (1, 3) D. Error Correct answer: A. 15. What is the result? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.unstack().isna().sum().sum())
A. 0 B. 1 C. 2 D. Error Correct answer: A. 16. What does this code return? 
import pandas as pd
s = pd.Series([1, 2, 3])
print(s.to_numpy().ndim)
A. 0 B. 1 C. 2 D. Error Correct answer: B. 17. What is printed? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.axes[0].equals(df.index))
A. True B. False C. None D. Error Correct answer: A. 18. What does this code output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.copy(deep=False) is df)
A. True B. False C. None D. Error Correct answer: B. 19. What is the result? 
import pandas as pd
s = pd.Series([1, 2, 3])
print(s.equals(pd.Series([1, 2, 3])))
A. True B. False C. None D. Error Correct answer: A. 20. What does this code output? 
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.info() is None)
A. True B. False C. None D. Error Correct answer: A.

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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order m
Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order m
Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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I have sent you some real and important questions based on my reading of the book "Pandas Cookbook 2025".