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Subjects

Artificial Intelligence

Data Interpretation and basic visualization

डेटा व्याख्या और मूलभूत दृश्यांकन

In this Class 9 Artificial Intelligence topic from Data Literacy, students learn to read and interpret simple datasets presented in tables, charts, and graphs. They identify values, compare categories, notice patterns and trends, and draw evidence-based conclusions without confusing observation with assumption. The topic also introduces basic data visualization by helping students choose suitable formats, use clear titles, labels, scales, and legends, and recognize how poor presentation can mislead an audience.

Practice questions

01 Why is it necessary to communicate uncertainty along with data in a scientific presentation?

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02 A line graph has unequal time intervals but displays them at equal visual distances. What misunderstanding may occur?

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03 A graph shows rising average scores but the number of students differs each year. What should be checked before drawing a conclusion?

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04 In an election map large geographic regions appear more prominent although they contain fewer voters. What visual risk exists?

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05 A chart uses pictures of equal size for data values that are different. What is the error?

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06 A line graph shows time from right to left without any indication. What may happen?

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07 A bar graph does not start its vertical axis at zero, making small differences appear very large. What type of visual problem is this?

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08 In a statistical graphic, three-dimensional columns make the front value appear larger than an equal value behind it. Why does this distortion occur?

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