Context of data visualization – Definition, Methodology, Visualization design objectives. Key Factors – Purpose- Visualization function and tone -Visualization design options – Data representation -Data Presentation - Seven stages of Data visualization - widgets - Data visualization tools. Lab Experiment: 1.Create a program to visualize a graph in R 2.Draw a Scatter plot in R

Mapping - Time series - Connections and correlations - Scatterplot maps – Trees- Hierarchies and Recursion - Networks and Graphs- Info graphics. Lab Experiment: 1. Write a program to Plot a line in R and R Statistics 2.Implement a program to draw a Piecharts and Bar charts in R

Acquiring data - Where to Find Data-Tools for Acquiring Data from the Internet-Parsing data - Levels of Effort- Tools for Gathering Clues- Text is Best - Text Markup Languages - Regular Expressions (regexps) - Grammars and BNF Notation - Compressed Data - Vectors and Geometry - Binary Data Formats - Advanced Detective Work Lab Experiment: 1. Environmental Setup of the Tableau 2. Write a program to Work on the Data sets of Tableau

Drawing with data – Scales – Axes – Updates- Transition and Motion – Interactivity - Layouts – Geo- mapping – Exporting - Framework. Lab Experiment: 1.Write a a program to draw aGantt chart using Tableau 2.Write a program to Create a Box plot using Tableau

Introduction to Various data visualization tools: Tableau, D3.js, Gephi. Visualization Dashboard Creations: Dashboard creation using visualization tools for the use cases: Finance-marketing-Insurance- Healthcare. Lab Experiment: 1. Working on free open-source Visualization tools. 2. write a program to Visualize the Dashboard using Tableau