Table of contents |
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Introduction |
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Collecting Data |
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Reading and Understanding Tables |
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Pictographs |
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Bar Graphs |
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Pictograph vs Bar Graph |
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Conclusion |
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Data handling = collecting, organizing, and showing information.
We use tables, pictographs, and bar graphs to make data clear.
Graphs help us:
Compare data visually
Spot patterns quickly
Understand real-life situations (time use, food wastage, vehicles, etc.)
Collecting data = gathering information about people, things, or activities.
Example: asking friends “How many hours do you watch TV?”
Data is recorded in a table with rows and columns for easy reading.
A table organizes numbers neatly.
Rows and columns show different details.
We can count, add, or compare quickly.
Definition: Showing data using pictures or symbols.
Each picture = some number of items.
Example: 1 book picture = 5 books.
Title: tells the topic.
Labels: what is being counted.
Symbols/Pictures: the icons used.
Scale: value of each picture.
Key: small note explaining the scale.
Small data → scale 1 picture = 1 item.
Large data → scale 1 picture = 5, 10, or 20 items.
Choosing the right scale makes graphs neat.
Easy to understand.
Quick to compare groups.
Fun and interesting.
Used in real life to share info clearly.
Definition: Graph using bars (rectangles) to show numbers.
Bar height/length = value.
Taller bar = bigger number.
Title: topic of the graph.
Bars: rectangles for values.
Labels: X-axis (categories), Y-axis (numbers).
Scale: shows value of each step.
Equal spacing/width of bars.
Vertical Bar Graph – bars go up (most common).
Horizontal Bar Graph – bars go sideways.
Easy comparison.
Shows highest/lowest quickly.
Shows patterns (increase/decrease).
Pictograph: fun, pictures, less exact.
Bar Graph: neat, bars, exact numbers.
Both are useful depending on situation.
Data can be shown in tables, pictographs, or bar graphs.
Pictographs → simple, visual, quick comparison.
Bar graphs → exact, neat, easy to compare values.
Scales make graphs clearer.
Graphs help us solve real-life problems (time, traffic, wastage).
35 videos|276 docs|7 tests
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1. What is the importance of collecting data in studies and research? | ![]() |
2. How can I effectively read and understand tables in data representation? | ![]() |
3. What are the key differences between pictographs and bar graphs? | ![]() |
4. Why is it important to compare pictographs and bar graphs when presenting data? | ![]() |
5. What are some common mistakes to avoid when creating visual data representations? | ![]() |