Version 0.4.3

  • Added a task-oriented function discovery guide and an agent-readable llms.txt, both generated from a versioned workflow catalogue shipped with the package.

  • Published a short MIT licence expression and package keywords instead of embedding the full licence text in the distribution metadata.

  • Improved compatibility with current pandas releases, including group-to-group network calculations and usage-segment plots.

  • Corrected usage-segment tables to count distinct people rather than rows.

  • Avoided invalid intermediate calculations when an Information Value group has no events or non-events.

  • Invalid return_type values passed to create_bar() now raise a clear ValueError.

  • Exposed the documented identify_datefreq() function from the package-level API.

  • Clarified invalid return_type errors that previously referenced the R package’s return argument.

  • Modernized package builds, CI coverage, and strict documentation validation.

Version 0.4.2

  • Add check_query() and hrvar_count_all() for validating loaded queries

  • Minor bug fixes with network and information value (IV) functions

Version 0.4.1

  • Improve visualization aesthetics and standardize plot sizes

  • Added display behaviour for plots in export()

  • Various bugfixes and documentation enhancements

Version 0.4.0

  • Added create_odds_ratios(), identify_habit(), and identify_usage_segments() as additional tools to analyse Copilot usage.

  • Updated the dataset loaded with load_pq_data() to include metrics on Copilot.

  • Added create_bubble() for bubble visualizations.

  • Added or updated tests for create_bubble(), create_line(), create_trend() etc.

  • Improved diagnostic messages in identify_holidayweeks(). (#33)

  • Improved documentation and Markdown narrative in example notebooks.

Version 0.3.4

Added keymetrics_scan() for visualizing multiple metrics across an organizational attribute.

Version 0.3.3

Added function for calculating Chatterjee coefficient.

Version 0.3.2

Added functionality for calculating Gini coefficient and plotting the Lorenz curve.

Version 0.3.1

Minor doc changes and additional return options. Bug fixes on several key plotting functions.

Version 0.3.0

Added functionality for Information Value (IV).

Version 0.2.4

Added stats output functionality to internal functions.

Version 0.2.3

Fixed legend issues with network_p2p(), and improved test coverage.

Version 0.2.2

Bug fixes and improve test coverage, incl. critical bug fixes and new parameters for the ONA functions.

See #18 for more details.

Version 0.2.1

Bug fixes and improve test coverage.

Version 0.2.0

The new version adds a number of organizational network analysis (ONA) functions to the library:

  • Network visualization and analysis:

    • network_g2g()

    • network_p2p()

    • network_summary()

    • create_sankey()

  • Sample / simulate datasets:

    • p2p_data_sim()

    • load_g2g_data()

    • load_p2p_data()

Version 0.1.0

This is the first release of vivainsights. It includes the following features:

  • Data visualization

  • Data validation

The first version has been released to PyPi.