Difference between revisions of "Lesson02"

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<font size =5>'''Show Me the Numbers: Designing Graphs for Data Discovering'''</font>
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<font size = 3>[[Media:ISSS608_Lesson02-v1.3.1.pdf|Lesson 2 slides]]</font>
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== Content ==
 +
 +
Data Foundation
 +
*  Types of data
 +
*  Structure within and between records
 +
*  Data preprocessing: ETL (Extract, Transform, and Loading)
 +
 +
Designing Charts to Enlighten
 +
*  What we mean by an enlighten graph
 +
*  JunkCharts: Understand the limitation of Excel charts
 +
*  Principles of Graphic Design
 +
*  Semiology of graphics
 +
 +
 +
Human Perception and Information Processing
 +
*  What Is Perception?
 +
*  Physiology
 +
*  Perceptual Processing
 +
*  Perception in Visualization
 +
*  Metrics
 +
 +
Perceptual and Design Principles for Effective Visual Analytics
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*  System, Color, Gestalt Laws, Pre-attentive processing
 +
*  Representation: The encoding of value and relation
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*  Visual Perception and Quantitative Communication
 +
 +
Visualising and Analysing Univariate Data
 +
*  Data discovery with histogram
 +
*  Data discovery with boxplot
 +
 +
Visualising and Analysing Bivariate Continuous Data
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* Exploring two continuous variables (i.e. scatter plot)
 +
* Correlation analysis
 +
* Bivariate data analysis best practices
 +
 +
Visualising and Analysing One Categorical and One Continuous Data
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* Exploring relationship between one category variable and one continuous variable
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* Performing simple logistic regression
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* Bivariate data visualisation best practices
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 +
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== Hands-on Session ==
 +
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*  Visualising and analysing bivariate continuous data using scateerplot
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*  Visualising and analysing bivariate continuous data using mosaic plot
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*  Visualising and analysing one continuous and one continuous variables trellis
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== Daily Readings ==
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{| border="1" cellpadding="1"
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|-
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|width="5pt"|Day
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|width="10pt"|Time required
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|width="350pt"|Readings
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|-
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|Monday||60 minutes||
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Tapping the Power of Visual Perception [http://www.perceptualedge.com/articles/ie/visual_perception.pdf]'''Must read!'''
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Visualising Statistics: The importance of seeing not just describing data [http://stats.cwslive.wiley.com/details/feature/6314441/Visualising-Statistics-The-importance-of-seeing-not-just-describing-data.html]'''Must read!'''
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Graphical Journalists Should, First and Foremost, Be Journalists [http://www.perceptualedge.com/blog/?p=2121] '''Must read!'''
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|-
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|-
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|Tuesday||60 minutes||
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7 Basic Rules for Making Charts and Graphs [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/]
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Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]'''Must read!'''
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DSC Webinar Series The Beautiful Science of Data Visualization [https://vimeo.com/126302031] '''Must View!'''
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|-
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|-
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|Wednesday||60 minutes||
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Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf]
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Data Visualization: Rules for Encoding Values in Graph [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf]'''Must read!'''
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Best Practices for Understanding Quantitative Data [http://www.perceptualedge.com/articles/b-eye/quantitative_data.pdf]
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|-
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|-
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|Thursday||60 minutes||
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Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]'''Must read!'''
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Line Graphs and Irregular Intervals: An Incompatible Partnership [http://www.perceptualedge.com/articles/visual_business_intelligence/line_graphs_and_irregular_intervals.pdf]
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Learning to See Data [http://www.nytimes.com/2015/03/29/sunday-review/learning-to-see-data.html?_r=0]
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|-
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|-
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|}
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== References ==
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Robbins, Naomi B. (2005) Creating More Effective Graphs, John Wiley & Sons, New Jersey, USA.
 +
 +
Edward R. Tufte (2001) The Visual Display of Quantitative Information (2nd Edition), Graphics press, Connecticut, USA. Chapter 4-9
 +
 +
Stephen Few (2004) Show Me the Numbers: Designing Tables and Graphs to Englighten, Analytical Press, Oakland, USA.
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 +
Wong, Dona M. (2010) The Wall Street Journal Guide to Information Graphics, W. W. Norton & Company, Inc. New York.
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 +
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== Discussion ==
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[[Talk:Lesson02|Discussion Lesson 02]]

Revision as of 00:48, 9 August 2016

Vaa.jpg ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

 


Show Me the Numbers: Designing Graphs for Data Discovering

Lesson 2 slides

Content

Data Foundation

  • Types of data
  • Structure within and between records
  • Data preprocessing: ETL (Extract, Transform, and Loading)

Designing Charts to Enlighten

  • What we mean by an enlighten graph
  • JunkCharts: Understand the limitation of Excel charts
  • Principles of Graphic Design
  • Semiology of graphics


Human Perception and Information Processing

  • What Is Perception?
  • Physiology
  • Perceptual Processing
  • Perception in Visualization
  • Metrics

Perceptual and Design Principles for Effective Visual Analytics

  • System, Color, Gestalt Laws, Pre-attentive processing
  • Representation: The encoding of value and relation
  • Visual Perception and Quantitative Communication

Visualising and Analysing Univariate Data

  • Data discovery with histogram
  • Data discovery with boxplot

Visualising and Analysing Bivariate Continuous Data

  • Exploring two continuous variables (i.e. scatter plot)
  • Correlation analysis
  • Bivariate data analysis best practices

Visualising and Analysing One Categorical and One Continuous Data

  • Exploring relationship between one category variable and one continuous variable
  • Performing simple logistic regression
  • Bivariate data visualisation best practices


Hands-on Session

  • Visualising and analysing bivariate continuous data using scateerplot
  • Visualising and analysing bivariate continuous data using mosaic plot
  • Visualising and analysing one continuous and one continuous variables trellis


Daily Readings

Day Time required Readings
Monday 60 minutes

Tapping the Power of Visual Perception [1]Must read!

Visualising Statistics: The importance of seeing not just describing data [2]Must read!

Graphical Journalists Should, First and Foremost, Be Journalists [3] Must read!

Tuesday 60 minutes

7 Basic Rules for Making Charts and Graphs [4]

Sometimes We Must Raise Our Voices [5]Must read!

DSC Webinar Series The Beautiful Science of Data Visualization [6] Must View!

Wednesday 60 minutes

Quantitative Literacy Across the Curriculum [7]

Data Visualization: Rules for Encoding Values in Graph [8]Must read!

Best Practices for Understanding Quantitative Data [9]

Thursday 60 minutes

Choosing Colors for Data Visualization [10]Must read!

Line Graphs and Irregular Intervals: An Incompatible Partnership [11]

Learning to See Data [12]

References

Robbins, Naomi B. (2005) Creating More Effective Graphs, John Wiley & Sons, New Jersey, USA.

Edward R. Tufte (2001) The Visual Display of Quantitative Information (2nd Edition), Graphics press, Connecticut, USA. Chapter 4-9

Stephen Few (2004) Show Me the Numbers: Designing Tables and Graphs to Englighten, Analytical Press, Oakland, USA.

Wong, Dona M. (2010) The Wall Street Journal Guide to Information Graphics, W. W. Norton & Company, Inc. New York.


Discussion

Discussion Lesson 02

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