vivainsights 0.7.0

• Added create_rogers() function for analyzing technology adoption patterns using Rogers adoption curve theory
• Feature improvements to create_hist(), create_density(), identify_usage_segments(), create_line()
• Refactor superseded dplyr syntax to current best practices
• Optimized dependencies using base R functions where appropriate

vivainsights 0.6.2

• Minor bug fixes to validation_report()
• Clearer diagnostic messages to identify_*() family of functions

vivainsights 0.6.1

• Added identify_usage_segments() for classifying usage segments.
• Added create_itsa() for performing interrupted time-series analysis.

vivainsights 0.6.0

• Add identify_habits() for classifying habitual behavior.
• Refactored code to latest dplyr and tidyselect practices.
• Updated metrics in pq_data to include Copilot metrics.

vivainsights 0.5.5

• Add new functionality on calculating Chatterjee’s coefficient
• Improved test coverage

vivainsights 0.5.4

Added new functionality to calculate Gini coefficient and Lorenz curve.

vivainsights 0.5.3

Minor bug fixes and visual improvements.

vivainsights 0.5.2

Minor bugfix on create_line().

vivainsights 0.5.1

Minor changes to documentation on static report outputs.

vivainsights 0.5.0

Added new functionality to calculate information value: create_IV() and IV_report()

vivainsights 0.4.3

• Updated datasets for g2g_data and p2p_data
• Improve test coverage

vivainsights 0.4.2

• Improved versatility to identify_query()
• Added any_idate()
• Bug fixes

vivainsights 0.4.1

• Removed the DT dependency

vivainsights 0.4.0

Added new functionality for organizational network analysis (ONA):

• Introduced p2p_data and g2g_data sample datasets, with an option to simulate a person-to-person dataset using p2p_data_sim()
• Added network_g2g(), network_p2p(), network_summary(), and create_sankey() functions
• network_p2p() now has a centrality argument for computing and visualizing centrality as node sizes in the network plot
• For network_p2p():
  • the algorithm argument is renamed to layout for better intuitiveness
  • Improved consistency and intuitiveness of the API, with style argument now controlling the network plotting mechanism and return argument controlling whether plots are generated interactively or saved as PDF
  • Added a large number of community detection algorithms from igraph

vivainsights 0.3.1

• Fixed bug in running validation report (#11)

vivainsights 0.3.0

• Added new text analytics functions relating to the meeting query

vivainsights 0.2.0

• colour contrast improved for create_dist() family functions
• added data validation family of functions, including validation_report()
• adds ‘wpa’ as a package dependency

vivainsights 0.1.0

This is the first version of the vivainsights package to be released open-source on GitHub and CRAN. This is based on the original wpa library, with functions and documentation updated to reflect the latest features in Viva Insights.