CP7017 DATA VISUALIZATION TECHNIQUES SYLLABUS FOR M.E. COMPUTER SCIENCE AND ENGINEERING REG 2013

CP7017 DATA VISUALIZATION TECHNIQUES SYLLABUS

M.E. COMPUTER SCIENCE AND ENGINEERING

SEMESTER II

OBJECTIVES:

 To introduce visual perception and core skills for visual analysis

 To understand visualization for time-series analysis

 To understand visualization for ranking analysis

 To understand visualization for deviation analysis

 To understand visualization for distribution analysis

 To understand visualization for correlation analysis

 To understand visualization for multivariate analysis

 To understand issues and best practices in information dashboard design

UNIT I CORE SKILLS FOR VISUAL ANALYSIS

Information visualization – effective data analysis – traits of meaningful data – visual perception – making abstract data visible – building blocks of information visualization – analytical interaction – analytical navigation – optimal quantitative scales – reference lines and regions – trellises and crosstabs – multiple concurrent views – focus and context – details on demand – over-plotting reduction – analytical patterns – pattern examples

UNIT II TIME-SERIES, RANKING, AND DEVIATION ANALYSIS

Time-series analysis – time-series patterns – time-series displays – time-series best practices – part-to-whole and ranking patterns – part-to-whole and ranking displays – best practices – deviation analysis – deviation analysis displays – deviation analysis best practices

UNIT III DISTRIBUTION, CORRELATION, AND MULTIVARIATE ANALYSIS

Distribution analysis – describing distributions – distribution patterns – distribution displays –distribution analysis best practices – correlation analysis – describing correlations – correlation patterns – correlation displays – correlation analysis techniques and best practices – multivariate analysis – multivariate patterns – multivariate displays – multivariate analysis techniques and best practices

UNIT IV INFORMATION DASHBOARD DESIGN I

Information dashboard – categorizing dashboards – typical dashboard data – dashboard design issues and best practices – visual perception – limits of short-term memory – visually encoding data – Gestalt principles – principles of visual perception for dashboard design

UNIT V INFORMATION DASHBOARD DESIGN II

Characteristics of dashboards – key goals in visual design process – dashboard display media – designing dashboards for usability – meaningful organization – maintaining consistency – aesthetics of dashboards – testing for usability – case studies: sales dashboard, CIO dashboard,Telesales dashboard, marketing analysis dashboard

TOTAL : 45 PERIODS

OUTCOMES:

Upon completion of the course, the students will be able to

 Explain principles of visual perception

 Apply core skills for visual analysis

 Apply visualization techniques for various data analysis tasks

 Design information dashboard

REFERENCES:

1. Stephen Few, "Now you see it: Simple Visualization techniques for quantitative analysis",

Analytics Press, 2009.

2. Stephen Few, "Information dashboard design: The effective visual communication of data",O'Reilly, 2006.

3. Edward R. Tufte, "The visual display of quantitative information", Second Edition, GraphicsPress, 2001.

4. Nathan Yau, "Data Points: Visualization that means something", Wiley, 2013.

5. Ben Fry, "Visualizing data: Exploring and explaining data with the processing environment",O'Reilly, 2008.

6. Gert H. N. Laursen and Jesper Thorlund, "Business Analytics for Managers: Taking business intelligence beyond reporting", Wiley, 2010.

7. Evan Stubbs, "The value of business analytics: Identifying the path to profitability", Wiley, 2011.