Create a set of static figures illustrating nested-pandas' data model and scientific usage patterns. These should be added to the project's presentation deck to be used for the presentation to the broad astronomical community.
The goal is to have figures that convey what nested-pandas does and why it matters, so that astronomers familiar with large-scale data analysis can quickly grasp the value and consider adopting it in their workflows.
Suggested figures (some of these already avaliable at various locations):
Data Model Figures
Usage / Workflow Figures
Performance / Scale Figure
Acceptance Criteria
Create a set of static figures illustrating nested-pandas' data model and scientific usage patterns. These should be added to the project's presentation deck to be used for the presentation to the broad astronomical community.
The goal is to have figures that convey what nested-pandas does and why it matters, so that astronomers familiar with large-scale data analysis can quickly grasp the value and consider adopting it in their workflows.
Suggested figures (some of these already avaliable at various locations):
Data Model Figures
DataFrame layout (e.g., per-object metadata + per-observation time
series in a single structure)
showing dtypes and nesting levels
Usage / Workflow Figures
data, querying, and extracting results using nested-pandas API
alongside its resulting NestedFrame output (table or diagram)
Performance / Scale Figure
to a naive flat-table approach on a realistic astronomical dataset
(e.g., object catalog with light curves)
Acceptance Criteria
(no microscopic labels)
a light-background slide deck