Making sense of data requires the development of tools that can transform data into narratives. In this presentation I show various examples of tools that we have created at The MIT Media Lab that facilitate the ability of people to construct visual narratives from large datasets. These data visualization engines include:

(i) the Observatory of Economic Complexity (atlas.media.mit.edu), a comprehensive effort to visualize international trade data; 
(ii) DataViva (dataviva.info), a tool visualizing data for the entire formal sector economy of Brazil; 
(iii) Pantheon (pantheon.media.mit.edu), a tool focused on human collective memory centered on data from globally famous biographies;
(iv) Immersion (immersion.media.mit.edu), a tool that focuses the interface of email on people to reveal your personal story of professional and personal interactions;
(v) Place Pulse and StreetScore (pulse.media.mit.edu & streetscore.media.mit.edu), which are tools exploring the physical evolution of cities, and 
(vi) DataUSA, a tool that visualizes public data for the entire United States.

I conclude by demoing a prototype of (vii) DIVE, a data visualization and integration tool that helps automate the creation of data driven narratives.