Apache Superset | Top 5 DE Tech am learning in 2023 #shorts #apche #vizualization #dataengineering - QuadExcel.com

Check out the full video here: #dataengineering #2023 #chatgpt #bigdata #vizualization. source

Strange Attractors | Shashank Tomar

A visualisation of Strange Attractors using a Threejs particle system. In this post, I will try to explain the basics of dynamical systems, chaos theory, attractors and the butterfly effect.

Open Data Beer Nr. 31 - 15.09.2025 - Open Data Beer

Open Data Community zu Gast in Rotkreuz Am 15. September 2025 fand das Open Data Beer #31 an der Hochschule Luzern in Rotkreuz statt. Präsentationen Walter Fassbind: Thermal Mapping Stadt Zug Halldór Janetzko: Datengestützte Entscheidungen – (Open) Governmental Data und interaktive Informationsvisualisierung

Graphic presentation : Brinton, Willard Cope, 1880- : Free Download, Borrow, and Streaming : Internet Archive

512p. 23cm

The role of visualization and 3-D printing in biological data mining - BioData Mining

Background Biological data mining is a powerful tool that can provide a wealth of information about patterns of genetic and genomic biomarkers of health and disease. A potential disadvantage of data mining is volume and complexity of the results that can often be overwhelming. It is our working hypothesis that visualization methods can greatly enhance our ability to make sense of data mining results. More specifically, we propose that 3-D printing has an important role to play as a visualization technology in biological data mining. We provide here a brief review of 3-D printing along with a case study to illustrate how it might be used in a research setting. Results We present as a case study a genetic interaction network associated with grey matter density, an endophenotype for late onset Alzheimer’s disease, as a physical model constructed with a 3-D printer. The synergy or interaction effects of multiple genetic variants were represented through a color gradient of the physical connections between nodes. The digital gene-gene interaction network was then 3-D printed to generate a physical network model. Conclusions The physical 3-D gene-gene interaction network provided an easily manipulated, intuitive and creative way to visualize the synergistic relationships between the genetic variants and grey matter density in patients with late onset Alzheimer’s disease. We discuss the advantages and disadvantages of this novel method of biological data mining visualization.

The Map of the Universe