By the end of this chapter you'll be able to…

  • 1Collect data through observation and surveys
  • 2Organize raw data using tally marks and frequency tables
  • 3Create pictographs with appropriate symbols and a clear key
  • 4Draw bar graphs with proper axes, scale, title, and labels
  • 5Choose appropriate scales for different data ranges
  • 6Interpret pictographs and bar graphs to answer questions
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Why this chapter matters
Data literacy is a 21st-century essential skill. Every field — science, business, sports, medicine, journalism — requires the ability to collect, organize, present, and interpret data. This chapter is the first formal step in a student's statistical journey that extends through Class 12 and beyond.

Data Handling and Presentation — Class 6 Maths (Ganita Prakash)

1. About This Chapter

In a world filled with information, understanding data is a superpower. Chapter 4 of Ganita Prakash introduces students to the complete data handling cycle: collect → organize → present → interpret. Whether it's the favourite sports in a class, the daily temperature over a week, or the number of books read by students — data tells a story, and this chapter teaches how to read that story.


2. What Is Data?

Data is a collection of facts, numbers, or observations. Data can be:

  • Numerical: numbers (marks scored, heights, temperatures)
  • Categorical: names or categories (favourite colour, type of pet, preferred sport)

Raw data is messy. The job of data handling is to organize it so that we can understand it.


3. Collecting and Organising Data

Step 1: Collect

Ask a question and record the answers. Example: "What is your favourite fruit?" Ask 30 classmates.

Step 2: Organise using Tally Marks

Tally marks make counting easy:

FruitTally MarksNumber of Students
MangoIIII IIII II12
BananaIIII III8
AppleIIII5
OrangeIIII4
GrapesI1

Each group of 5 is represented as IIII (four vertical lines with a diagonal strike-through).


4. Pictographs — Data as Pictures

A pictograph represents data using pictures or symbols. Each picture represents a fixed number of items.

Example: Books Read by Students

StudentNumber of Books (📖 = 2 books)
Riya📖📖📖📖 (8 books)
Amit📖📖📖 (6 books)
Simran📖📖📖📖📖 (10 books)
Kabir📖📖 (4 books)

Rules for good pictographs:

  • Choose a suitable symbol
  • Define what one symbol represents (the key or scale)
  • Draw symbols of equal size
  • Align symbols neatly

5. Bar Graphs — Data as Bars

A bar graph uses rectangular bars to represent data. The height (or length) of each bar corresponds to the value it represents.

Key Features of a Bar Graph:

  1. Title: Tells what the graph is about
  2. Axes: Horizontal (x-axis) for categories, vertical (y-axis) for values
  3. Scale: The unit marked on the vertical axis
  4. Bars: Rectangular bars of equal width, equally spaced
  5. Labels: Names for axes and bars

Example Bar Graph Data:

Favourite Sports of 40 Students:

SportCricketFootballBadmintonKabaddiHockey
Students1410853

In a bar graph, the Cricket bar would rise to 14 on the vertical axis, Football to 10, and so on. This makes it instantly clear that Cricket is the most popular sport.


6. Interpreting Data

Once data is presented as a pictograph or bar graph, we can answer questions:

  • Which category has the highest value?
  • Which has the lowest?
  • How much more is one category than another?
  • What patterns or trends can we see?

Example: From the sports data above:

  • Cricket is most popular (14 students)
  • Hockey is least popular (3 students)
  • Cricket has 14 − 3 = 11 more students than Hockey
  • Cricket + Football = 14 + 10 = 24 students (more than half the class)

7. Choosing the Right Scale

The scale is crucial for a good bar graph. If the maximum value is 14, a scale of 1 unit = 1 student works well. But if the maximum is 140, using 1 unit = 10 students makes the graph manageable. The scale should be:

  • Uniform (equal spacing on the axis)
  • Appropriate for the data range
  • Clearly marked

8. Key Concepts Summary

ConceptDescription
DataCollection of facts, numbers, or observations
Tally MarksA counting method where groups of 5 are IIII
PictographData representation using pictures/symbols with a key
Bar GraphData representation using rectangular bars of uniform width
ScaleThe unit used on the vertical axis of a bar graph
InterpretationDrawing conclusions from presented data

9. Important Vocabulary

  • Data: Facts and statistics collected for reference or analysis
  • Tally Mark: A mark used for counting, grouped in fives
  • Pictograph: A chart using pictures to represent quantities
  • Bar Graph: A chart with rectangular bars showing quantities
  • Scale: The relationship between one unit on the graph and the actual quantity
  • Key: In a pictograph, an explanation of what each symbol represents

10. Worked Examples

Example 1: Tally to Count

The following marks were scored by 20 students: 8, 6, 7, 8, 8, 5, 7, 8, 6, 7, 8, 5, 7, 8, 7, 6, 8, 7, 6, 8. Make a frequency table.

Solution:

MarksTallyFrequency
5II2
6IIII4
7IIII I6
8IIII III8

Example 2: Reading a Pictograph

A pictograph shows 🍎 = 5 apples. Riya has 🍎🍎🍎🍎. How many apples?

Solution: 4 symbols × 5 = 20 apples.

Example 3: Draw a bar graph

Draw a bar graph for: Mon(Temp: 30°C), Tue(32°C), Wed(28°C), Thu(35°C), Fri(31°C).

Solution: x-axis → Days (Mon-Fri), y-axis → Temperature (°C), scale 1 unit = 2°C. Draw 5 equally spaced bars of heights 15, 16, 14, 17.5, and 15.5 units respectively.


11. Conclusion

Data Handling and Presentation is arguably one of the most practical chapters in the entire Ganita Prakash book. In an age of information overload, the ability to organize data, present it clearly, and draw meaningful conclusions is a critical life skill. From reading newspaper graphs to understanding sports statistics and analyzing business trends — the skills learned in this chapter apply everywhere.

Key formulas & results

Everything you need to memorise, in one card. Screenshot this for revision.

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Common mistakes & fixes

These are the exact errors that cost students marks in board exams. Read them once, save yourself the trouble.

WATCH OUT
Forgetting to include the key in a pictograph — the reader won't know what symbols mean
WATCH OUT
Using bars of unequal width in a bar graph — all bars must be the same width
WATCH OUT
Choosing an inappropriate scale — too small makes the graph too tall, too large makes bars indistinguishable
WATCH OUT
Not spacing bars equally — gaps between bars must be uniform
WATCH OUT
Misreading tally marks — each ~~IIII~~ is 5, not 4

NCERT exercises

Every NCERT exercise from this chapter — what it covers and how many questions to expect.

Concept Practice
Concept Practice
Creating frequency tables from raw data using tally marks; Drawing pictographs with a defined key; Drawing bar graphs for given data sets; Reading and interpreting given pictographs and bar graphs; Answering questions about maximum, minimum, and differences from graphs; Choosing appropriate scales for different data ranges
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Questions

Practice problems

Work through this chapter's problems as a readiness check — reveal each solution, mark yourself honestly, and get your gap report at the end.

Readiness check

Are you exam-ready for 'Data Handling and Presentation'?

3 problems from this chapter. Try each one, reveal the worked solution, mark yourself honestly — get your gap report at the end.

3 questions~2 min

5-minute revision

The whole chapter, distilled. Read this the night before the exam.

  • Tally marks: group in fives (~~IIII~~)
  • Pictograph: always include a key explaining what each symbol equals
  • Bar graph: title, x-axis label, y-axis label, uniform bars, equal spacing, appropriate scale
  • Scale must be uniform throughout the graph
  • Taller bar = higher value
  • Always read the question carefully — are they asking for the total, the difference, or the maximum?

Maharashtra (MSBSHSE) marks blueprint

Where the marks come from in this chapter — so you can plan your prep.

Where this shows up in the real world

This chapter isn't just an exam topic — it lives in the world around you.

Reading and creating infographics in news and social media

Reading and creating infographics in news and social media

Analyzing sports statistics (batting averages

Analyzing sports statistics (batting averages, league tables)

Tracking personal habits (study hours

Tracking personal habits (study hours, exercise, screen time)

Business presentations and sales reports

Business presentations and sales reports

Scientific experiments

Scientific experiments — recording and presenting results

Exam strategy

Battle-tested tips from teachers and toppers for this chapter.

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Drawing questions are common — keep a sharp pencil and ruler ready. Label everything clearly. Double-check your scale before starting. Interpretation questions are straightforward if you read the graph carefully.

Questions students ask

The real ones — pulled from the Q&A community and tutor sessions.

Verified by the tuition.in editorial team
Last reviewed on 1 June 2026. Written and reviewed by subject-matter experts — read about our process.
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