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Syllabus

Data Visualization using Python Programming — Syllabus

ICSE · Class 11 · Artificial Intelligence

What Data Visualization using Python Programming covers in ICSE Class 11 Artificial Intelligence: 4 topics, for the 2026-27 session.

65 questions40 flashcards5 concepts

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4 Topics · ICSE Class 11 Artificial Intelligence · 2026-27

Topics in Data Visualization using Python Programming

1

1. Meaning and Purpose of Data Visualization

  • Data visualization refers to the process of representing data in a graphical or pictorial format.
  • Its main goal is to distill large datasets into visual graphics to allow for easy understanding of complex relationships within the data.
  • Data visualization helps reveal trends, outliers, and relationships hidden in raw data.
2

2. Data Visualization Tools

  • Datawrapper is ideal for creating charts and maps for embedding in online content like news articles or blog posts.
  • Datawrapper requires uploading data via a CSV file to plot charts.
  • Microsoft Excel and Google Sheets provide basic charting functionalities.
3

3. Excel Features for Charts and Data Cleaning

  • Charts in Excel can be created by selecting data and using the Insert tab.
  • Recommended Charts helps choose a suitable chart type.
  • Chart Design and Format tabs help customize charts.
4

4. Matplotlib: Basic Python Visualization Library

  • Matplotlib is the foundational Python library for creating static, animated, and interactive visualizations.
  • The matplotlib.pyplot module provides a MATLAB-like interface.
  • Matplotlib features include Drawing, Customization, and Saving of plots.

Key Concepts

Central concept: Data visualization as graphical representation of data for understanding patterns, trends, outliers, and relationships

Data visualizationData visualization toolsPython libraries for visualizationMatplotlibPandasSeabornCommon plot typesData cleaning in Excel

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Frequently Asked Questions

What are the important topics in Data Visualization using Python Programming for ICSE Class 11 Artificial Intelligence?
Key topics in Data Visualization using Python Programming include Meaning and Purpose of Data Visualization, Data Visualization Tools, Excel Features for Charts and Data Cleaning, Matplotlib: Basic Python Visualization Library. Study these first, then practise questions on each for Class 11 exams.
How should I revise Data Visualization using Python Programming for Class 11 exams?
Learn the core ideas first, then work through the 65 practice questions on Data Visualization using Python Programming. Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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