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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-5 section-1

Each section contains 100 MCQs on Data Analysis with Python .
41
What is the primary purpose of the "merge" function in Pandas?
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Answer & Solution
Answer: Option C
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42
In Python, which library provides tools for working with complex data structures and data manipulation, often used for data analysis in the financial sector?
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Answer & Solution
Answer: Option B
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43
Which Python library is commonly used for creating interactive data dashboards and reports for data analysis and visualization?
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Answer & Solution
Answer: Option A
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44
What is the primary purpose of the "stack" method in Pandas?
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Answer & Solution
Answer: Option D
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45
In Python, which library provides tools for working with graph data structures and performing graph analysis tasks?
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Answer & Solution
Answer: Option C
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46
In Pandas, which method is used to calculate the mode of a numerical column in a DataFrame?
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Answer & Solution
Answer: Option B
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47
Which Python library is commonly used for data preprocessing tasks, such as feature scaling and transformation in machine learning?
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Answer & Solution
Answer: Option C
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48
What is the primary purpose of the "groupby" method in Pandas when working with categorical data?
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Answer & Solution
Answer: Option D
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49
In Python, which library is commonly used for web scraping and extracting data from websites?
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Answer & Solution
Answer: Option A
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50
What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?
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Answer & Solution
Answer: Option D
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