SiSOB project provides a set of visual metaphors to visualize the results of the different case studies (WP7, WP8 and WP9). These metaphors are implemented over D3.js (js/html5) and NVD3.js (js/html5) as an API.

The visualization components are organized in two groups:

• Statistical visualizations
• Graph visualizations

Statistical visualizations

This category groups some classic metaphors to perform analysis based on attributes on quantitative and qualitative data (e.g., bar charts, time series, pie charts, scatter plots) as well as analysis based on relational data.

The Statistical visualizations used in the SiSOB project are:

1. Line Chart	2. Group /Stacked Bar Chart	3. Simple Bar Chart
4. Bar Chart With Negative Values	5. Area Chart	6. Bivariate Area Chart
7. Stacked Area Chart	8. Pie Chart	9. Donut Chart
10. Donut Multiple	11. ScatterPlot

Graph visualizations

A graph (network) is a way of representing the relationship aspect of the data that can be easily understood through visualization means. This type of visualization represents much more than simple relationships. Several layouts can be applied to graph visualisation in order to position the nodes (depending on different heuristics), one can obtain clusters of high related nodes, and even represent sequences of temporal networks.

The Graph visualizations used in the SiSOB project are:

1. Adjacency Matrix	2. Chord Diagram	3. Circular Layout
4. Dwyer Force Directed Graph	5. Force Directed Clustering	6. Foresighted Graph Layout
7. Foresighted Heat Ring	8. Kamada - Kawai	9. Swin Lanes
10. Trajectory Diagram

Go to Deliverable D5.3  to see the explanation of these visualizations (and more) for each case study.