MC4019 Data Visualization Techniques Syllabus:
MC4019 Data Visualization Techniques Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To understand the categories of data quality principles.
To describe data through visual representation.
To provide basic knowledge about how large datasets are represented into visual graphics and easily understand the complex relationships within the data.
To design effective visualization techniques for any different problems
UNIT I INTRODUCTION
Visualization – visualization process – role of cognition – Pseudocode conventions – Scatter plot – Data foundation : Types of data – Structure within and between records – Data preprocessing – Human perceptions and information processing
UNIT II VISUALIZATION FOUNDATIONS
Semiology of graphical Symbols – Eight Visual Variables – Historical Perspective- Visualization Techniques for spatial data – One-dimensional data- two dimensional data – Three dimensional data- dynamic data – combining techniques- Visualization of Geospatial data – Visualization of Point, line, area data
UNIT III DESIGNING EFFECTIVE VISUALIZATION
Steps in Designing Visualization – problems in Designing Effective Visualization – Comparing and evaluating visualization techniques – Visualization Systems
UNIT IV INFORMATION DASHBOARD DESIGN
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, Marketing analysis dashboard
UNIT V VISUALIZATION SYSTEMS
Systems based on Data type-systems based on Analysis type – Text analysis and visualization – Modern integrated visualization systems – toolkit-Research directions in visualization – issues of cognition, perception and reasoning –issues of evaluation – issues of Hardware.
Suggested Activities
1. Brief about Data Visualization with tools and techniques involved. Write its application in Data Analytics.
2. Discuss about visualization technique for two-dimensional data
3. Explore the steps involved in designing effective visualization.
4. Create a dashboard using visualization techniques for road accidents in TamilNadu
5. Summarize Visualization Toolkit and discuss by taking a case study.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
On completion of the course the student should be able to:
CO1:Describe principles of visual perception
CO2:Apply visualization techniques for various data analysis tasks – numerical data
CO3:Apply visualization techniques for various data analysis tasks – Non numerical data
CO4:Design effective visualization techniques for different problems
CO5:Design information dashboard
REFERENCES
1. Matthew O. Ward , Georges Grinstein , Daniel Keim “Interactive Data Visualization: Foundations, Techniques, and Applications”, CRC Press; 2nd edition, 2015
2. Stephen Few, “Now you see it: Simple Visualization Techniques for Quantitative Analysis”, 1st Edition, Analytics Press, 2009.
3. Stephen Few, “Information Dashboard Design: The Effective Visual Communication of Data”,1st Edition, O’Reilly,2006.
4. Ben Fry, “Visualizing data: Exploring and explaining data with the processing environment”, 1st Edition, O’Reilly, 2013.
5. Andy Kirk, “Data Visualization: A Handbook for Data Driven Design”, 2nd Edition, Sage Publications, India, 2019.
6. Claus O.Wilke, “Fundamentals of Data Visualization”, 1st Edition, O’Reilly Media, USA, 2019