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Data Analysis with Python MCQ Questions and Answers | Data Science MCQs

Explore our comprehensive collection of multiple-choice questions (MCQs) on Data Analysis with Python designed to boost your confidence and knowledge in data science. These data science MCQs are essential for data science job interviews and exams. Page-3 section-1

Each section contains 100 MCQs on Data Analysis with Python .
21
In Pandas, which method is used to pivot data from long to wide format, creating a new DataFrame?
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Answer & Solution
Answer: Option C
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22
Which Python library provides tools for working with structured data and is often used in data analysis tasks, especially in financial data?
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Answer & Solution
Answer: Option B
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23
What is the primary purpose of the "melt" function in Pandas?
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Answer & Solution
Answer: Option C
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24
In Python, which library is widely used for time series analysis and forecasting?
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Answer: Option D
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25
Which Python library provides advanced data visualization capabilities and is often used for creating complex and interactive plots?
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Answer & Solution
Answer: Option A
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26
What Python method is used to calculate the correlation matrix for a DataFrame, showing the relationships between numerical columns?
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Answer: Option D
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27
In Pandas, which method is used to apply a custom function to each element of a DataFrame or Series?
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Answer & Solution
Answer: Option C
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28
Which Python library is commonly used for natural language processing (NLP) tasks in data analysis, including text mining and sentiment analysis?
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Answer: Option B
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29
What is the primary purpose of the "crosstab" function in Pandas?
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Answer: Option C
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30
In Python, which library is often used for creating animated and interactive data visualizations?
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Answer & Solution
Answer: Option D
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