python-data-visualisation-past-papers
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UPLOADED BY Unknown
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DATE 06 Dec 2025
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SIZE 0.65 MB
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notes
About This Document
Document Type: This is a Past Paper, designed for Reviewing previous question patterns.
Context: Standard material from the 2024 academic period.
Key Content: Likely covers essential definitions, technical implementation, and structured questions to test your proficiency.
Study Strategy: Attempt these questions under timed conditions to simulate a real exam environment, then check against your notes.
Recommendation: comprehensive resource for students aiming to deepen their understanding of General Studies.
Detailed Content Overview
Introduction
This notes resource titled "python-data-visualisation-past-papers" provides comprehensive exam preparation materials designed to test and enhance your understanding. This resource is structured to facilitate effective learning and retention of important information.
Key Topics Covered
Learning Objectives
- Master key concepts required for examination success
- Practice answering exam-style questions effectively
- Develop time management skills for timed assessments
- Identify and address knowledge gaps in understanding
Detailed Summary
DIPLOMA IN DATA MANAGEMENT AND ANALYTICS (DDMA) LEVEL III PYTHON DATA VISUALISATION MONDAY: 2 December 2024. This paper has two (2) sections. SECTION I has twenty (20) short response questions. Each question is allocated two (2) marks. SECTION II has three (3) practical questions of sixty (60) marks. Marks allocated to each question are indicated in the question. Required resources: • A computer • Python programming language • Pycharm IDE • Jupyter Notebook Illustrate the output from the following Python code snippet as used in Python data visualisation: for i in range (10): if i % 2 = = 0: continue print(i) o. c The python mode of programming where a group of commands are put into a file before executing the file sequentially is known as ___________________. ke SECTION I (40 MARKS) (2 marks) 3. The principle of effective data visualisation defined as avoiding overcomplicating the visualisation with too many data points or chart types is referred as _____________. Write a Python script to add a title “Simple line Plot” to a graph.
Study Tips & Recommendations
Time Management
Practice under timed conditions to improve speed and accuracy. Allocate specific time limits to each section.
Active Practice
Attempt all questions before checking answers. Review mistakes to understand where improvements are needed.
Mark Scheme Review
Study marking schemes carefully to understand how examiners award points and structure your answers accordingly.
Regular Review
Schedule periodic reviews to reinforce learning and combat forgetting. Use spaced repetition for optimal retention.
Content Preview
DIPLOMA IN DATA MANAGEMENT AND ANALYTICS (DDMA) LEVEL III PYTHON DATA VISUALISATION MONDAY: 2 December 2024. Morning Paper. Time Allowed: 3 hours. Answer ALL questions. This paper has two (2) sections. SECTION I has twenty (20) short response questions. Each question is allocated two (2) marks. SECTION II has three (3) practical questions of sixty (60) marks. Marks allocated to each question are indicated in the question. Required resources: • A computer • Python programming language • Pycharm I...
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