Skip to main content
Chapter 17 of 22
Revision Notes

Data Visualization using Statistical Graphs

ICSE · Class 11 · Artificial Intelligence

Quick revision notes for Data Visualization using Statistical Graphs — ICSE Class 11 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.

65 questions36 flashcards5 concepts

Interactive on Super Tutor

Studying Data Visualization using Statistical Graphs? Get the full interactive chapter.

Quizzes, flashcards, AI doubt-solver and a step-by-step study plan — built for revision notes and more.

1,000+ Class 11 students started this chapter today

Key Topics to Revise

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.

Get complete notes with diagrams and examples

Full Notes

Key Concepts

A graph is a pictorial representationThe XA bar graph presents categorical dataA histogram is a graphical displayA scatter plot is a set

Frequently Asked Questions

What are the important topics in Data Visualization using Statistical Graphs for ICSE Class 11 Artificial Intelligence?
Data Visualization using Statistical Graphs covers several key topics that are frequently asked in ICSE Class 11 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Data Visualization using Statistical Graphs — ICSE Class 11 Artificial Intelligence?
Understand the core concepts first, then work through the 65 practice questions available for this chapter. Revise formulas and 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.

For serious students

Get the full Data Visualization using Statistical Graphs chapter — for free.

Quizzes, flashcards, AI doubt-solver and a step-by-step study plan for ICSE Class 11 Artificial Intelligence.