In this section, the best explainable visualisations to highlight emerging patterns and trends are displayed. Specifically, this section will help you to better interpret and use the extracted information.
Mixed visualizations seamlessly combine various types of visualisations to offer users a comprehensive explanation. They prove particularly effective in presenting results and clarifying complex systems that involve diverse models and data, combining their outcomes for a cohesive understanding.
A mixed chart is employed by a XMANAI demostrator to illustrate the relationship between various data points. Specifically, it maps the quantity of items added to the online shopping cart along the x-axis, and the number of views on the company’s e-commerce website for a particular product category along the y-axis.
XMANAI Project Coordinator
Michele Sesana – TXT
e-mail: michele.sesana@txtgroup.com
XMANAI Scientific Coordinator
Dr. Yury Glikman – Fraunhofer FOKUS
e-mail: yury.glikman@fokus.fraunhofer.de
XMANAI Technical Coordinator
Dr. Fenareti Lampathaki – SUITE5
e-mail: fenareti@suite5.eu
TXT e-solutions S.p.A.
Via Frigia 27 – 20126 Milano
t: +390225771804