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A Python tool for visual activity planning at the Proton Synchrotron

This report describes the work done as a part of the CERN Summer Student Programme of 2021. The project was aimed at developing a tool for the automated creation of visual representations of activity planning data on the Proton Synchrotron. The end goal was to obtain a program that could read planni...

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Autor principal: Kauniskangas, Anni Matilda
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2783143
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author Kauniskangas, Anni Matilda
author_facet Kauniskangas, Anni Matilda
author_sort Kauniskangas, Anni Matilda
collection CERN
description This report describes the work done as a part of the CERN Summer Student Programme of 2021. The project was aimed at developing a tool for the automated creation of visual representations of activity planning data on the Proton Synchrotron. The end goal was to obtain a program that could read planning data in an Excel format as an input, and produce PowerPoint slides with the data visualisations for each day as an output. The project was implemented in Python using the Bokeh visualisation library. The final code was able to meet the goals, automatically producing slides with the relevant visual activity representations as well as generating an interactive version of the map that allowed the user to view the activities by selecting a day from a calendar interface
id cern-2783143
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27831432021-10-04T18:58:48Zhttp://cds.cern.ch/record/2783143engKauniskangas, Anni MatildaA Python tool for visual activity planning at the Proton SynchrotronEngineeringThis report describes the work done as a part of the CERN Summer Student Programme of 2021. The project was aimed at developing a tool for the automated creation of visual representations of activity planning data on the Proton Synchrotron. The end goal was to obtain a program that could read planning data in an Excel format as an input, and produce PowerPoint slides with the data visualisations for each day as an output. The project was implemented in Python using the Bokeh visualisation library. The final code was able to meet the goals, automatically producing slides with the relevant visual activity representations as well as generating an interactive version of the map that allowed the user to view the activities by selecting a day from a calendar interfaceCERN-STUDENTS-Note-2021-186oai:cds.cern.ch:27831432021-10-04
spellingShingle Engineering
Kauniskangas, Anni Matilda
A Python tool for visual activity planning at the Proton Synchrotron
title A Python tool for visual activity planning at the Proton Synchrotron
title_full A Python tool for visual activity planning at the Proton Synchrotron
title_fullStr A Python tool for visual activity planning at the Proton Synchrotron
title_full_unstemmed A Python tool for visual activity planning at the Proton Synchrotron
title_short A Python tool for visual activity planning at the Proton Synchrotron
title_sort python tool for visual activity planning at the proton synchrotron
topic Engineering
url http://cds.cern.ch/record/2783143
work_keys_str_mv AT kauniskangasannimatilda apythontoolforvisualactivityplanningattheprotonsynchrotron
AT kauniskangasannimatilda pythontoolforvisualactivityplanningattheprotonsynchrotron