Version 0.4.2¶

Version 0.4.1¶

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.

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

Added function for calculating Chatterjee coefficient.

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

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

Added functionality for Information Value (IV).

Added stats output functionality to internal functions.

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

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

See #18 for more details.

Bug fixes and improve test coverage.

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()

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

The first version has been released to PyPi.