Data analysis with python
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Data analysis with python questions with answers

128 multiple-choice questions. Open any question for its answer and explanation.

  1. In Pandas, what method is used to remove duplicate rows from a DataFrame based on specified columns?
  2. Which Python library provides tools for working with structured data and is often used in data analysis tasks, especially in financial data?
  3. In Pandas, what method is used to remove missing values from a DataFrame?
  4. Which Python library is commonly used for data visualization and exploration with a focus on producing informative statistical graphics?
  5. In Pandas, which method is used to apply a custom function to each element of a DataFrame or Series?
  6. What is the primary purpose of the "pipe" method in Pandas when chaining multiple data transformation steps?
  7. Which Python library provides advanced data visualization capabilities and is often used for creating complex and interactive plots?
  8. Which of the following can potentially change the dtype of a series?
  9. Point out the correct statement.
  10. Panel is a container for Series, and DataFrame is a container for dataFrame objects.
  11. In Python, which library is commonly used for visualizing decision trees and random forests in machine learning?
  12. Which Python library is often used for anomaly detection and outlier analysis in time series data?
  13. Which of the following is used for machine learning in python?
  14. Which Python library is commonly used for data profiling and generating summary statistics for datasets?
  15. In Pandas, which method is used to pivot data from long to wide format, creating a new DataFrame?
  16. Which Python library is commonly used for machine learning and predictive modeling?
  17. Which Python library is commonly used for creating interactive data dashboards and reports for data analysis and visualization?
  18. Which of the following is the base layer for all of the sparse indexed data structures?
  19. In Pandas, which method is used to sort a DataFrame by the values in one or more columns in ascending or descending order?
  20. Which of the following operation works with the same syntax as the analogous dict operations?
  21. Andrews curves allow one to plot multivariate data.
  22. Which of the following input can be accepted by DataFrame?
  23. Using . . . . . . . . on categorical data will produce similar output to a Series or DataFrame of type string.
  24. Series is a one-dimensional labeled array capable of holding any data type.
  25. Which Python library is commonly used for distributed data processing and parallel computing, especially for big data analysis?