This is an R package for analyzing and visualizing data from [Microsoft Workplace Analytics](https://www.microsoft.com/microsoft-365/partners/workplaceanalytics).
- **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.
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):
We welcome contributions to the package! If you would like contribute code to the repo, please read our [Contributor Guide](CONTRIBUTING.md) and [Developer Guide](.github/developer_guide.md). This documentation should provide you all the information you will need to get started.
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
You can browse the vignette by running the following in R:
```R
vignette(topic = "intro-to-wpa", package = "wpa")
```
---
## Code of Conduct
We would ask you to please read the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct) prior to engaging with this package.
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