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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-8 section-1

Each section contains 100 MCQs on Data Analysis with Python .
71
What is the primary purpose of the "pivot_table" function in Pandas when aggregating data?
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Answer & Solution
Answer: Option A
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72
In Python, which library is commonly used for geospatial data analysis and mapping, especially in geographic information systems (GIS)?
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Answer & Solution
Answer: Option D
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73
Which Python library is often used for anomaly detection and outlier analysis in time series data?
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Answer & Solution
Answer: Option D
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74
What is the primary purpose of the "unstack" method in Pandas when working with hierarchical index data?
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Answer & Solution
Answer: Option A
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75
In Python, which library is commonly used for working with data stored in the Apache Parquet file format?
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Answer & Solution
Answer: Option D
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76
In Pandas, which method is used to calculate the variance of a numerical column in a DataFrame?
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Answer: Option C
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77
Which Python library is commonly used for creating interactive 3D visualizations and plots?
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Answer & Solution
Answer: Option B
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78
What is the primary purpose of the "explode" function in Pandas when working with nested data in a DataFrame?
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Answer: Option C
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79
In Python, which library provides tools for working with time series data, including time-based indexing and resampling?
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Answer: Option D
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80
Which Python library is commonly used for distributed data processing and parallel computing, especially for big data analysis?
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Answer & Solution
Answer: Option C
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