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Syllabus

Data Visualization using Statistical Graphs — Syllabus

ICSE · Class 11 · Artificial Intelligence

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

65 questions36 flashcards2 formulas & key relations5 concepts

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

Topics in Data Visualization using Statistical Graphs

1

Graphs and Axes

  • A graph is a pictorial representation or a diagram that represents data or values in an organized manner.
  • Graphs show the relationship between two or more things using points, lines, or curves.
  • Graphs have two axes: the horizontal X-axis and the vertical Y-axis.
2

Types of Graphs

  • Bar graphs present categorical data using rectangular bars.
  • The height or length of each bar is proportional to the value it represents.
  • Bars in a bar chart can be vertical or horizontal.
3

Dimensionality of Data

  • Dimensionality is the number of columns of data, which are the attributes of the data.
  • A dataset with n observations and m columns is m-dimensional.
  • The number of dimensions can change without forcing a change in another dimension.
4

Dimensionality Reduction Techniques and High-Dimensional Visualizations

  • Principal Component Analysis reduces the dimensionality of data by finding principal components that capture the most variance.
  • PCA can reduce data for visualizing it in 2D or 3D.
  • t-SNE is a non-linear dimensionality reduction technique.

Key Concepts

Central concept: Data visualization is the graphical representation of information and data

GraphBar GraphHistogramScatter PlotPie ChartDimensionality of DataDimensionality ReductionPCA

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Frequently Asked Questions

What are the important topics in Data Visualization using Statistical Graphs for ICSE Class 11 Artificial Intelligence?
Key topics in Data Visualization using Statistical Graphs include Graphs and Axes, Types of Graphs, Dimensionality of Data, Dimensionality Reduction Techniques and High-Dimensional Visualizations. Study these first, then practise questions on each for Class 11 exams.
How should I revise Data Visualization using Statistical Graphs for Class 11 exams?
Learn the core ideas first, then work through the 65 practice questions on Data Visualization using Statistical Graphs. 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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