Subject Details
Dept     : AIDS
Sem      : 5
Regul    : 2019
Faculty : R.vaishnavi
phone  : NIL
E-mail  : vaishnavi.r.it@snsce.ac.in
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Lecture Notes

UNIT 1:
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INTRODUCTION TO DATA VISUALIZATION
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NEED OF VISUALIZATION
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CHOOSING THE CHART TYPE
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UNDERSTAND THE CONTEXT,EXPLORATORY AND EXPLANATORY ANALYSIS
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COMMUNICATION MECHANISM
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CONSULTING FOR CONTEXT
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STORY BOARDING
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CHOOSING AN EFFECTIVE VISUAL
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CHARTS
UNIT 2:
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Visualizing a single number
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Measures of variability
UNIT 3:
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Clutter Elimination
UNIT 4:
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Designers perspective
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Affordances,Accessibilityand Aesthetics
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Communicating correlation and regression
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Visualizing qualitative data
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Correlation and regression
UNIT 5:
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Depicting Trends
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Color consideration with a dark background
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Leveraging animation in the visual you present
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Logic in order
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Strategies for avoiding the spaghetti graph
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