AI4SD Video: Data Visualisation with Python
AI4SD Video: Data Visualisation with Python
This video forms part of the ‘Failed it to Nailed' it series. This series is run by the Artificial Intelligence for Scientific Discovery Network+ (AI4SD), the Cell Press Patterns Journal and the Physical Sciences Data-Science Service (PSDS)
We'll be covering how to create different types of plots in Matplotlib, ranging from simple line graphs to interactive 3D visualisations, before finishing with a demonstration of how to integrate RDKit with Matplotlib in order to show interesting properties of chemical structures.
AI3SD Event, Data Science, Data Visualisation, Datasets
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
13 July 2022
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Munday, Samuel
(2022)
AI4SD Video: Data Visualisation with Python.
Frey, Jeremy G., Kanza, Samantha and Knight, Nicola
(eds.)
AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2022.
(doi:10.5258/SOTON/AI3SD0254).
Record type:
Conference or Workshop Item
(Other)
Abstract
This video forms part of the ‘Failed it to Nailed' it series. This series is run by the Artificial Intelligence for Scientific Discovery Network+ (AI4SD), the Cell Press Patterns Journal and the Physical Sciences Data-Science Service (PSDS)
We'll be covering how to create different types of plots in Matplotlib, ranging from simple line graphs to interactive 3D visualisations, before finishing with a demonstration of how to integrate RDKit with Matplotlib in order to show interesting properties of chemical structures.
Video
ai4sd_fi2ni_july_2022_sam_ai4sd_v1 (1080p)
- Version of Record
More information
Published date: 13 July 2022
Additional Information:
Samuel Munday is a Senior Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain.
Venue - Dates:
AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2022, 2022-02-10
Keywords:
AI3SD Event, Data Science, Data Visualisation, Datasets
Identifiers
Local EPrints ID: 472636
URI: http://eprints.soton.ac.uk/id/eprint/472636
PURE UUID: daa5cfe7-c4a7-4d20-bbae-1a6ea5c019c3
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Date deposited: 12 Dec 2022 18:03
Last modified: 17 Mar 2024 03:57
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Contributors
Author:
Samuel Munday
Editor:
Nicola Knight
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