| ❗ IMPORTANT |
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| Toron is currently pre-alpha software. It is under development and cannot be installed or used at this time. |
toron is a tool kit for managing data joinability and ecological
inference problems in data science. It implements a specialized graph
database to handle relationships between labeled data sets from
multiple sources.
While it's desirable to work with data sources that conform to a
shared standard, or are otherwise directly relatable, this is not
always an option. Independently designed sources often contain records
that cannot seamlessly join across datasets. toron provides a
framework for integrating such sources into a single, coherent system
to inform real-world decision-making.
- Implements a graph database to manage relationships between data sources. Each node represents a data source and each edge describes the relationship from one source to another.
- Maintains the original labels used by each source.
- Easily updates existing relationships when better information becomes available later.
- Generates translation tables for any pair of data sources (so long as a path exists between both nodes).
- Retabulates data from any source using the labels of any other source in the graph (given a strongly connected graph).
- Graphs are stored as collections of node files using the extension
.node. Relationships between nodes are also stored in the node files themselves (each node contains its incoming edges). - Complex graphs can be organized using folders and sub-folders of connected components.