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BiBTeX citation export for THPV034: Data Analysis and Rapid Prototyping using Dashboards

  author       = {R. Kammering},
  title        = {{Data Analysis and Rapid Prototyping using Dashboards}},
  booktitle    = {Proc. ICALEPCS'21},
  language     = {english},
  intype       = {presented at the},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {18},
  venue        = {Shanghai, China},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {03},
  year         = {2022},
  note         = {presented at ICALEPCS'21 in Shanghai, China, unpublished},
  abstract     = {{Today most control system frameworks offer sophisticated GUI toolkits and designers. Despite its capabilities in data visualisation these toolkits still require additional processing and computation power when it comes to the exploration of new kinds of data and its hidden analysis potential. Modern dashboard technologies as used in data science do not offer only rapid prototyping of the data analysis chain but also provide complex processing power combined with smart visualisation techniques. This enables a quick turn-around when modifying and adapting the data analysis implementation itself. In modern data analytics dashboards are considered to be a key element for enabling investigative data science. For a project analysing the accelerator machine availability, we implemented a web application using the Streamlit framework. The ease of use and the rich set of possibilities further encouraged us to use this technology for some data science related tasks. The seamless interplay between complex preprocessing and the multitude of visualisation possibilities demonstrate, that these dashboard technologies are very well suited for explorative science related projects.}},