Course

Unit 1

Goals of data visualization, Data plotting softwares like matplotlib (python) and Gnuplot(available in linux enviornment), Syntax of the codes in these softwares

Unit 2

Different kinds of plots, Plots and subplots, Histogram, Probability density plots, Bar graphs, Pie charts

Unit 3

3D data visualization in 2D, Bubble Plot, Color density plot, 2D Histograms, 4D Data visualization in 3D, making animated plots and movies for data

Unit 4

Graph and Networks visualization, Introduction to software Graphviz, Syntax in grahviz, Drawing small and big networks in graphviz, Introduction to software Cytoscape, Different plotting layouts in cytoscape, visualizing large datasets in cytoscape with examples

Unit 5

Online data visualization, Introduction to D3 JSON, Plotting a dataset online References: Data Visualizations

Course outcomes

CO1: Able to design visualizations that represent the relationships contained in complex data sets and adapt them to highlight the ideas you want to communicate

CO2:Able to Support the visualizations with written and verbal explanations on their interpretation.

CO3:Able to Use leading open source software packages to create and publish visualizations

CO4: Able to Identify the statistical analysis needed to validate the trends present in data visualizations.

CO5: Enable clear interpretations of big, complex and real world data