wpa

Analyze and Visualize Workplace Analytics data

This is an R package for analyzing and visualizing data from Microsoft Workplace Analytics.

Design Principles

• Simple: the functions ought to be simple and intuitive, to maximise adoption.
• Practical: the functions should prioritise delivering against the most frequently used outputs and analyses.
• Consistency: functions should share a broadly consistent set of input arguments and naming conventions. This will help minimise unexpected results and errors when using the package.
• Parsimony: in creating the package, as much of the existing code should be re-used if possible to minimise duplication of work and to make analysis reproducible.
• Tidy: the functions from the package are designed to be consistent with tidy principles, and work well with a dplyr pipe (%>%) workflow.

With the wpa package, you can...

1. Run prebuilt analysis and visualizations off Workplace Analytics data with settings for HR variables, privacy threshold, etc.
2. Generate prebuilt interactive HTML reports, which cover specific areas e.g. collaboration, connectivity
3. Leverage advanced analytics functions, such as text mining and hierarchical clustering, which are built for Workplace Analytics metrics
4. Integrate analysis of Workplace Analytics data with your R workflow seamlessly

🚀 Quick start guide - For users

Installing the package from GitHub

You can install wpa from GitHub with the following:

# Check if devtools is installed, if not then install it
if(!"devtools" %in% installed.packages()){
  install.packages("devtools")
}
devtools::install_git(url = "https://github.com/microsoft/wpa.git")

Examples

The package comes shipped with a sample Standard Query dataset (sq_data), so you can start exploring functions without having to read in any data. Most functions in wpa share a consistent API, and enable you to return results for both a plot or a table (data frame):

collaboration_sum(sq_data, return = "plot")

By passing 'table' to the return argument, the function will return a data frame with the relevant summary statistics.

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🔨 Developers

We welcome contributions to the package! If you would like contribute code to the repo, please read our Contributor Guide and Developer Guide. This documentation should provide you all the information you will need to get started.

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📦 Package Structure

There are three main types of functions in wpa:

1. Standard Analysis
2. Report Generation
3. Advanced / Support Functions

1. Standard Analysis

Standard Analysis functions are the most common type of functions in wpa. They typically accept a data frame as an input (usually requiring a Standard Person Query), and can return either a pre-designed graph as a ggplot object, or a summary data table as a data frame.

Examples:

• collaboration_dist()
• meeting_summary()
• email_trend()
• mgrrel_matrix()

2. Report Generation

Report Generation functions are a special class of functions within wpa which outputs an interactive HTML report on a specific area based on the data you supply.

Examples:

• collaboration_report()
• capacity_report()
• coaching_report()
• connectivity_report()
• meeting_tm_report()
• validation_report()

3. Advanced / support functions

This final group consists of miscellaneous functions which either perform a specific piece of analysis (e.g. computing the Information Value score), or are designed to be used with Standard Analysis functions.

A significant example of this is export(), which you can use with a Standard Analysis function to:

• Copy a data frame to clipboard (which can be pasted into Excel)
• Save the generated plot as a PNG or a SVG image file
• Save the data frame to a CSV file

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Vignette

You can browse the vignette by running the following in R:

vignette(topic = "intro-to-wpa", package = "wpa")

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Code of Conduct

We would ask you to please read the Microsoft Open Source Code of Conduct prior to engaging with this package.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Security

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If you believe you have found a security vulnerability in any Microsoft-owned repository that meets Microsoft's Microsoft's definition of a security vulnerability, please report it to us as described below.

Reporting Security Issues

Please do not report security vulnerabilities through public GitHub issues.

Instead, please report them to the Microsoft Security Response Center (MSRC) at https://msrc.microsoft.com/create-report.

If you prefer to submit without logging in, send email to secure@microsoft.com. If possible, encrypt your message with our PGP key; please download it from the the Microsoft Security Response Center PGP Key page.

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Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:

• Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
• Full paths of source file(s) related to the manifestation of the issue
• The location of the affected source code (tag/branch/commit or direct URL)
• Any special configuration required to reproduce the issue
• Step-by-step instructions to reproduce the issue
• Proof-of-concept or exploit code (if possible)
• Impact of the issue, including how an attacker might exploit the issue

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Preferred Languages

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Policy

Microsoft follows the principle of Coordinated Vulnerability Disclosure.