JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Pre-Requisites

Basic Programming.

Course Outcomes

After completion of course, students would be able to:

Critically evaluate visualizations and suggest improvements and refinements. Use standalone visualization applications to quickly explore data. Apply a structured design process to create effective visualizations. Conceptualize ideas and interaction techniques using sketching. Create web-based interactive visualizations using JavaScript and D3.

UNIT - I

Introduction: Data Analytics, Data Visualization, Data and Tasks, Data Types, Dataset Types, Spatial Data-Scivis and Infovis, Static Graphics, Data Visualization Through Their Graph Representations Interaction Techniques - Brushing and Linking, Dynamic Queries, Animation, Trees and Networks, Radial Layouts, Tree Maps, Linear Layouts, Maps, Cartograms, Symbol Maps, Flow Maps, Real-Time Maps

UNIT - II

High Dimensional Data Visualization, Filtering, Parallel Coordinates, Mosiac Plots, Time Series, Aggregation Text Visualization, Document Visualization, Images & Video, Selecting Video Points, Zooming and Panning, Perception, Visual Channels. Weber's Law, Visual Channel Rankings

UNIT - III

Color Processing: Color Spaces, Color Aesthetics, Colors for Visualization, Cognition, Looking vs. Seeing, Image Gist, Gestalt Principles, Visual Attention, Visual Working & Long-Term Memory

UNIT - IV

Advanced Analytics: Introduction to Tableau, Adding Data Sources in Tableau, Creating Data Visualizations, Aggregate Functions, Table Calculations, Maps, Trends, Trend Lines, Forecasts, Clusters Analysis, Dashboards and Other Statistical Tools

UNIT - V

Data Visualization System: Visual Story Telling, Messaging, Effective Presentations, Design for Information Visualization and Arts, Visualization Systems- Database Visualization

Text Books:

Visualizing Data: Exploring and Explaining Data with the Processing Environment, Ben Fry, O'Reilly Media, 2007. Interactive Data Visualization for the Web, Scott Murray, O'Reilly Media, 2013.

Reference Book:

Handbook of Data Visualization, Chun-houh Chen, Wolfgang Hardle, Antony Unwin, Springer.

M.Tech. (Data Science) I Year I Semester