Data Analysis With Python - Study Mode
[#81] Which Python library is commonly used for machine learning and predictive modeling?
Correct Answer
(D) Scikit-learn
[#82] What Python library provides interactive and web-based data visualizations?
Correct Answer
(A) Plotly
[#83] What is the primary data structure in Numpy used for storing and performing operations on numerical data?
Correct Answer
(D) ndarray
[#84] In Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?
Correct Answer
(C) describe()
[#85] Which Python library is commonly used for data exploration and data cleaning tasks, providing interactive and user-friendly interfaces?
Correct Answer
(A) Pandas
Explanation
Solution: Pandas is a popular Python library widely used for data exploration and data cleaning tasks. It provides easy-to-use, flexible, and powerful data structures, especially DataFrames, which allow for efficient data manipulation and analysis. With Pandas, users can perform operations such as filtering, merging, grouping, and reshaping data quickly and effectively. It is commonly used in conjunction with other libraries like NumPy and Matplotlib to extend its data handling capabilities and support data visualization.