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BP101T – Basics of Python Programming for Pharmaceutical Sciences

Unit 5 – Data Visualization with Matplotlib

📝 Unit 5 Test

Total Questions: 20 | Passing: 60%

1. Which Python library is introduced in Unit 5 for data visualization?

2. Which type of plot is useful for showing changes or trends?

3. Which plot is specifically included in the Unit 5 syllabus?

4. Which plot is useful for displaying the distribution of data?

5. Which plot is included for displaying individual data points?

6. Which of the following is included in Unit 5?

7. What should be labeled properly in a scientific plot?

8. What helps describe the subject of a graph?

9. What is the purpose of a legend in a plot?

10. Which pharmaceutical data is specifically mentioned for visualization?

11. Concentration-time curves are mentioned for which administrations?

12. ADR reporting rates across what are mentioned for visualization?

13. Which pharmaceutical profile is specifically mentioned?

14. Scientific interpretation of plots means:

15. Which of the following is NOT listed as a Unit 5 plot?

16. Which element helps identify different datasets shown on a graph?

17. Which library is associated with creating the plots in Unit 5?

18. A concentration-time curve represents pharmaceutical data involving:

19. Which activity is specifically part of Unit 5?

20. Which combination correctly represents Unit 5?

📊 Test Result

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BP101T – Basics of Python Programming for Pharmaceutical Sciences

Unit 5 – Data Visualization with Matplotlib

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