Welcome to GraphXplore’s documentation!

This package gives functionality for ETL processes exploratory data analysis of large data sources using graphs. The starting point is always a directory of relational table data contained in CSV files. A typical workflow could look like this:

1. Extract, inspect and potentially adjust metadata information with graphxplore.MetaDataHandling package

2. Clean artifacts and transform data with graphxplore.DataMapping package

3. Convert the relational data into a graph structure (and load into a Neo4J database) with graphxplore.GraphTranslation package

4. Generate dashboards and graph-based visualizations for easy exploratory data analysis with graphxplore.Dashboard package and graphxplore.GraphDataScience package

Subpackages

• graphxplore.Basis package
• graphxplore.MetaDataHandling package
• graphxplore.DataMapping package
• graphxplore.GraphTranslation package
• graphxplore.GraphDataScience package
• graphxplore.Dashboard package

Indices and tables

• Index

• Module Index

• Search Page