Course Content
Chapter 1 Rational Numbers
0/5
Introduction
Properties of Rational Numbers
Role of 0 and 1
Distributivity of multiplication over addition for rational numbers
Additive Inverse and Multiplicative Inverse
Chapter 2 Linear Equations in one variable
0/3
Algebraic Expressions and Equations
Solving Equations having the Variable on both Sides
Reducing Equations to Simpler Form
Chapter 3 Understanding Quadrilaterals
0/7
Plane Surface and Plane Curve
Polygons and Their Types
Sum of the Measures of the Exterior Angles of a Polygon
Kinds of Quadrilaterals
Parallelogram: Element & its Property
Some Special Parallelograms
Application based questions
Chapter 4 Data Handling
0/5
Introduction to Data
Types of Data Representation
Drawing PI Chart
Chance and Probability
Chance and Probability in Real Life
Chapter 5 Squares and Square Number
0/7
Concept of Square Numbers and Perfect Squares
Properties of Square Numbers
Interesting Patterns in Square Numbers
Finding the Square of a Number
Pythagorean triplets
Concept of Square Root
Different Methods to Find Square Roots
Chapter 6 Cubes and Cube Roots
0/3
Introduction of cubes and its properties
Intresting Pattern in Cubes
cube roots and its finding way
Chapter 7 Comparing quantities
0/5
Introduction of Ratio & Percentage
Concept of Discount
Sales Tax/Value Added Tax/Goods and Ser vices Tax
Compound Interest: Concept, Formula, and Applications
formulas summary
Chapter 8 Algebraic Expressions and Identities
0/2
introduction
Addition, substraction & Multiplication of algebric expressions
Chapter 9 Mensuration
0/7
What we are going to learn in this chapter
Area of Polygon
Introduction of Solid Shape
Surface Area of Cubical, Cuboid and Cylinder
Volume of Cube, Cuboid and Cylinder
Understanding Capacity and its Relation to Volume
Complete List of Formulas
Chapter 10 Exponents and Powers
0/3
Introduction to Exponents
Rules for Exponent Rules
Express Large and Small Numbers in Standard Form
Chapter 11 Direct and Inverse Proportions
0/3
Direct Proportion
Inverse Proportions
Real-Life Examples & Uses
Chapter 12 Factorization
0/7
Introduction to Factorization
Methods of Factorization
Common Factor Method of Factorization
Regrouping Method of Factorization
Factorization Using Identities
Factorization by Splitting the Middle Term
Division of Algebraic Expressions
Introduction to Graphs
0/2
Introduction to Graphs
Applications of Graphs
CBSE Class 8 Maths
About Lesson

Data representation refers to the various methods used to visualize, organize, and summarize information, making it easier to understand and interpret. Effective data representation allows for quick insights, pattern recognition, and informed decision-making.In the NCERT , there are given three type of data representation:

  • Pictograph
  • Bargraph
  • Circle graph or PI chart

further the detailed explanation has been given:

1. Pictograph

  • Definition: A pictograph uses images or symbols to represent data, with each symbol corresponding to a specific quantity.

  • Usage: Ideal for presenting simple data sets in a visually engaging manner, making it easy to compare different categories at a glance.

  • Example: Displaying the number of books read by students, where each icon represents a set number of books.

2. Bar Graph

  • Definition: A bar graph displays data using rectangular bars, where the length or height of each bar is proportional to the value it represents. Bars can be oriented horizontally or vertically.

  • Usage: Useful for comparing quantities across different categories or tracking changes over time.

  • Example: Comparing the population of different cities or the sales figures of products over several months.

3. Pie Chart

  • Definition: A pie chart is a circular graph divided into sectors, with each sector representing a proportion of the whole.

  • Usage: Best suited for illustrating the relative sizes of parts within a whole, especially when dealing with percentage distributions.

  • Example: Showing the market share of different companies within an industry or the distribution of a budget across various departments.

Each of these graphical representations serves a unique purpose and is chosen based on the nature of the data and the specific insights one aims to convey.

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