Visualization - Revision history

Tedyun at 02:07, 14 November 2013

2013-11-14T02:07:28Z

2013-11-14T01:55:16Z

2013-11-14T01:51:54Z

Perceptual Properties

2013-11-14T01:51:39Z

2013-11-14T01:44:09Z

2013-11-14T01:35:12Z

2013-11-14T01:30:06Z

2013-11-14T01:23:12Z

2013-11-14T01:17:58Z

2013-11-14T01:13:45Z

← Older revision		Revision as of 02:07, 14 November 2013
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	* Consistency: The properties of the image (visual attributes) should match the properties of the data. e.g. Do not map one dimensional data to two or three dimensional representations.		* Consistency: The properties of the image (visual attributes) should match the properties of the data. e.g. Do not map one dimensional data to two or three dimensional representations.
	(Mackinlay)		(Mackinlay)
		+
		+	=== Spatial Position ===
		+	How to increase the amount of information encoded by spatial position?
		+	# Composition
		+	# Alignment
		+	# Folding
		+	# Recursion
		+	# Overloading

@@ Line 51: / Line 51: @@
 ==== Perceptual Properties ====
 In the order of accurate perception,
-;Position > Length > Angle = Shape > Area > Volume > Color = Density
+; Position > Length > Angle = Shape > Area > Volume > Color = Density
 (Mackinlay)
@@ Line 57: / Line 57: @@
 * Importance Ordering: Encode the most important information in the most perceptually accurate way.
 * Expressiveness: Depict all the data, and only the data.
-* Consistency: The properties of the image (visual attributes) should match the properties of the data.
+* Consistency: The properties of the image (visual attributes) should match the properties of the data. e.g. Do not map one dimensional data to two or three dimensional representations.
 (Mackinlay)

@@ Line 51: / Line 51: @@
 ==== Perceptual Properties ====
 In the order of accurate perception,
-'Position > Length > Angle = Shape > Area > Volume > Color = Density
+;Position > Length > Angle = Shape > Area > Volume > Color = Density
 (Mackinlay)

@@ Line 50: / Line 50: @@
 ==== Perceptual Properties ====
-In the order of accurate perception, <br />
+In the order of accurate perception,
-Position > Length > Angle = Shape > Area > Volume > Color = Density <br />
+'Position > Length > Angle = Shape > Area > Volume > Color = Density
 (Mackinlay)

@@ Line 36: / Line 36: @@
 **; Operations: =, !=, <, >, <=, >=, -, / (can measure ratios or proportions)
-=== Bertin's 7 Visual Attributes ===
+=== Visual Attributes ===
 # Position
 # Size
@@ Line 48: / Line 49: @@
 (Card and Mackinlay's extension)
-=== Perceptual Properties ===
+==== Perceptual Properties ====
 In the order of accurate perception, <br />
 Position > Length > Angle = Shape > Area > Volume > Color = Density <br />
 (Mackinlay)

@@ Line 39: / Line 39: @@
 # Position
 # Size
-# Value
+# Value (lightness)
 # Texture
 # Color
@@ Line 47: / Line 47: @@
 # (Time)
 (Card and Mackinlay's extension)

← Older revision		Revision as of 01:30, 14 November 2013
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	*** Like a geometric vector, origin is meaningful.		*** Like a geometric vector, origin is meaningful.
	**; Operations: =, !=, <, >, <=, >=, -, / (can measure ratios or proportions)		**; Operations: =, !=, <, >, <=, >=, -, / (can measure ratios or proportions)
		+
		+	=== Bertin's 7 Visual Attributes ===
		+	# Position
		+	# Size
		+	# Value
		+	# Texture
		+	# Color
		+	# Orientation
		+	# Shape
		+	# (3D)
		+	# (Time)
		+	(Card and Mackinlay's extension)

@@ Line 23: / Line 23: @@
 ==== Data Types ====
 * Nominal (labels, names) e.g. fruits: apples, oranges.
 * Ordinal (ordered): e.g. quality of meat: Grade A, AA.
 * Quantitative
 ** Interval (location of zero arbitrary): e.g. date, location
-*** Like a geometric point, cannot compare directly
+*** Like a geometric point, cannot compare directly.
-*** Only differences (i.e. intervals) may be compared
+*** Only differences (i.e. intervals) may be compared.
 ** Ratio (zero fixed): physical measurement e.g. length, mass.
-*** Counts and amounts
+*** Counts and amounts.
 *** Like a geometric vector, origin is meaningful.

@@ Line 13: / Line 13: @@
 '''''The human visual system is the highest bandwidth channel to the human brain.'''''
-=== Graphs Reveal Data that Statistics May Not ===
+==== Graphs Reveal Data that Statistics May Not ====
 e.g. Anscombe's Quartet (four data sets with the identical linear model but looks very different in visualization)
@@ Line 20: / Line 20: @@
 # Classify data types
 # Determine which visual attributes represent data types most effectively

← Older revision		Revision as of 01:13, 14 November 2013
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	e.g. Anscombe's Quartet (four data sets with the identical linear model but looks very different in visualization)		e.g. Anscombe's Quartet (four data sets with the identical linear model but looks very different in visualization)
		+
		+	=== Data Visualization Process ===
		+	# Classify data types
		+	# Determine which visual attributes represent data types most effectively