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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-4 section-1

Each section contains 100 MCQs on Data Analysis with Python .
31
In Pandas, what method is used to calculate the mean, median, and other summary statistics for numerical columns in a DataFrame?
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Answer & Solution
Answer: Option C
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32
Which Python library is commonly used for working with geospatial data and creating maps and geographic visualizations?
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Answer & Solution
Answer: Option D
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33
What is the primary purpose of the "applymap" method in Pandas?
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Answer & Solution
Answer: Option A
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34
In Python, which library provides tools for working with large and multidimensional arrays and matrices and is often used in scientific computing?
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Answer & Solution
Answer: Option D
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35
Which Python library is commonly used for working with network data and performing network analysis tasks?
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Answer & Solution
Answer: Option C
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36
In Pandas, which method is used to concatenate two or more DataFrames vertically (along rows)?
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Answer & Solution
Answer: Option B
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37
What is the primary purpose of the "pivot_table" function in Pandas?
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Answer & Solution
Answer: Option C
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38
In Python, which library is commonly used for natural language processing (NLP) tasks such as text classification and sentiment analysis?
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Answer & Solution
Answer: Option D
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39
Which Python library is often used for deep learning tasks, including neural network construction and training?
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Answer & Solution
Answer: Option A
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40
In Pandas, which method is used to fill missing values in a DataFrame with specified values or a filling method?
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Answer & Solution
Answer: Option D
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