"visualizations for repeated IDPs - trajectories" sounds to me as a nice example of Exploratory Data Analysis of individual Instances/Imaging visits that are available in the UKB RAP dispensed Dataset. For EDA plots, I really like and prefer using Seaborn for Python. It has many great examples in the Gallery https://seaborn.pydata.org/examples/index.html.
To implement visualizations for repeated IDPs, I would start with replicating a couple of plots from Showcase, e.g. https://biobank.ndph.ox.ac.uk/showcase/field.cgi?id=25021 (Tab - 2 Instances) and then continue with advanced analysis of individual Instances/Imaging visits in JupyterLab using Seaborn.
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"visualizations for repeated IDPs - trajectories" sounds to me as a nice example of Exploratory Data Analysis of individual Instances/Imaging visits that are available in the UKB RAP dispensed Dataset. For EDA plots, I really like and prefer using Seaborn for Python. It has many great examples in the Gallery https://seaborn.pydata.org/examples/index.html.
To implement visualizations for repeated IDPs, I would start with replicating a couple of plots from Showcase, e.g. https://biobank.ndph.ox.ac.uk/showcase/field.cgi?id=25021 (Tab - 2 Instances) and then continue with advanced analysis of individual Instances/Imaging visits in JupyterLab using Seaborn.
My favourite plots would be inspired by:
Facetting histograms by Instances/Imaging visits
https://seaborn.pydata.org/examples/faceted_histogram.html
Plotting on a large number of facets and combining more UKB features/IDPs into the plot where one facet is Instance/Imaging visit
https://seaborn.pydata.org/examples/many_facets.html
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