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Automated data visualization with D3


This thesis will be conducted in close work with startup www.inspirient.com.



Inspirient is a Berlin-based startup run by former graduates of FU Berlin’s Computer Science department that is specializing in automated, cloud-based data analytics with an intuitive, math-free user experience. We want to push analytic capabilities to non-expert users, who, coincidentally, tend to be the ones who know which insights are most valuable. To achieve this objective, we are developing an Artificial Intelligence (AI) that automates business analytics and displays the resulting insights as easy-to-understand visuals.

Thesis Description

Bringing data to life through meaningful visualizations is key to delivering value and achieving an exceptional user experience. To this end, the objective of this thesis is to use D3, a JavaScript data visualization library, to create intuitive data visualizations that will give users a new perspective on their data.

A bachelor thesis will thus comprise the following items:

  • Review of data visualization design principles, algorithms, and current approaches
  • Design, adaptation, and implementation of algorithms and data structures to automate data visualization using the D3 library
  • Evaluation of visual fidelity achieved given real-world datasets


If you are interested in this thesis and would like to know more, please reach out to Dr. Guillaume Aimetti at guillaume.aimetti@inspirient.com, or visit us at www.inspirient.com. From the FU side, please contact Dr. Matthias Wählisch.