Skip to content
Exercises · Q12

Q.Collect and store data related to the screen time of students in your class separately for boys and girls and present it using a boxplot.

Odisha ChseTextbookSubjective· 3mImportance★★★★★
75% · 33/44 Questions
🔒 Locked · start free trial →

You're viewing a preview — the full solution, concept, methods & PYQ mapping are locked.

Start your 14-day free trial to unlock the full solution →

Concept understanding — Data Visualization

Data Visualization: Seeing the Story in Numbers

Imagine you are given a long table of numbers — monthly sales figures for a year, or marks scored by students in a class. Reading row after row of digits is tiring, and patterns are hard to spot. Now imagine instead a simple bar chart: one bar for each month, rising and falling with sales. In a single glance, you see which months were strong and which were weak. That shift — from a list of numbers to a picture — is the heart of data visualization.

What It Really Means

Data visualization is the technique of presenting numerical information in a visual form — graphs, charts, maps, or diagrams — so that patterns, trends, and comparisons become immediately visible. It is not decoration. It is a tool for thinking. The human brain processes images far faster than it processes tables of text. A well-made chart lets you grasp the big picture without getting lost in individual numbers.

The NCERT textbook for Class 11 Economics (Statistics for Economics) introduces this idea in the chapter on presentation of data. It explains that data can be presented in three ways: textual (in sentences), tabular (in rows and columns), and diagrammatic/graphic (as pictures). The third way — diagrammatic and graphic presentation — is what we call data visualization. The textbook emphasizes that visual presentation makes data more attractive, easier to understand, and quicker to compare.

Why It Matters for a Commerce/Humanities Student

You will encounter data everywhere — in business reports, government budgets, economic surveys, newspaper articles, and research papers. Being able to read a chart is as important as being able to read a sentence. And being able to choose the right chart for your data is a skill that sets you apart.

Here are the main reasons data visualization is essential:

  • Clarity: A complex set of numbers becomes simple when turned into a bar chart or a pie diagram. You can see the largest and smallest values at a glance.
  • Comparison: Two or more sets of data can be compared side by side — for example, sales in different years, or expenditure across different heads.
  • Trend identification: Line graphs show how something changes over time — rising, falling, or staying steady. This is crucial in economics and business studies.
  • Memory: People remember visual information longer than text or tables. A striking chart stays in the mind.
  • Communication: When you present your findings — in an exam answer, a project, or a business meeting — a chart speaks faster and more powerfully than a paragraph of numbers.
Note

In your NCERT syllabus, you will learn specific types of diagrams: bar diagrams (simple, multiple, and subdivided), pie diagrams (also called circle charts), and line graphs (for time series data). Each type has a purpose. For instance, a pie chart shows parts of a whole — like how a family spends its monthly income across food, rent, education, and savings. A bar chart is better for comparing separate categories — like the population of different states.

A Simple Everyday Example

Think of your monthly pocket money. Suppose you spend ₹500 on food, ₹300 on travel, ₹200 on entertainment, and ₹100 on savings. A table of these four numbers is fine, but a pie chart shows instantly that food takes up the biggest slice — half of your money. A bar chart lets you compare the amounts directly: the food bar is tallest, savings bar is shortest. You don't need to calculate percentages or differences; the picture does the work.

The Core Principle: Choose the Right Visual …

Unlock everything free for 14 days

  • Full step-by-step solutions
  • Concept-first explanations
  • Methods, shortcuts & mistakes
  • PYQ mapping + timed mock tests

Full access for 14 days. No credit card required.