> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tangoanalytics.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Spaces

![](https://files.readme.io/0739760-image.png)

# What is a space

Spaces are places where work can get done in an office. This can be individual work (such as a desk) or collaborative work (such as a meeting room). Spaces are where employees spend time with their work devices (laptop/smart phone), it can also be places where people take a break.

Each space has a designated space type:

<thead>
  <tr>
    <th>
      Space type
    </th>

    <th>
      Description
    </th>

    <th>
      Notes and examples
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      Desks
    </td>

    <td>
      Includes all individual and shared workspaces, such as cubicles, workstations, touchdown stations and single offices. These spaces can be fully enclosed or within an open work setting.
    </td>

    <td>
      * Desk
      * Workstation
      * Cubicle
      * Touchdown station
      * Single office
    </td>
  </tr>

  <tr>
    <td>
      Meeting Rooms
    </td>

    <td>
      Incorporates all enclosed collaboration spaces for scheduled meetings, including training rooms, focus rooms, huddle rooms and project rooms. These spaces typically feature AV equipment and are used for formal meetings and therefore are mostly bookable.
    </td>

    <td>
      * Bookable meeting room
      * Training room
      * Focus room
      * Huddle room
      * Project room
    </td>
  </tr>

  <tr>
    <td>
      Collaboration Areas
    </td>

    <td>
      Incorporates all open collaboration spaces like open meeting areas, break out areas, lounges, library etc. that are designed for spontaneous meetings and therefore are oftentimes non-bookable.
    </td>

    <td>
      * Break out area
      * Lounge
      * Library
    </td>
  </tr>

  <tr>
    <td>
      Undefined
    </td>

    <td>
      Everything else
    </td>

    <td>
      * Phone booth
    </td>
  </tr>

  <tr>
    <td>
      All
    </td>

    <td>
      The sum of all space types including “undefined”
    </td>

    <td />
  </tr>
</tbody>

# Space set categories

![](https://files.readme.io/5efb354-image.png)

Space set categories can be used to break down and analyse spaces within an office to get insights on them.

Space set categories should be based on non-overlapping values. For example, a category named “Teams” implies that spaces can’t belong to more than 1 team at the same time or a category named “Zone” implies that a space can’t be located in more than 1 zone.

There is no limit to the number of space set categories users can define, however, space set categories should be defined based on spaces which are homogenous in nature and closely colocated when measured with Wi-Fi, unless high accuracy data sources (such as sensors) are available.

Example of recommended (green) and not recommended (red) space sets

The primary use case for analysis of spaces is the assignment of desks, the most frequently used space categories are:

* Zones - where the floorplan is broken down into zones, each containing desks.
* Teams - where the floorplan is broken down into team neighbourhoods, each containing desks that are assigned to a specific team

# Space sets

![](https://files.readme.io/706a1c8-image.png)

Space sets indicate the assignment of each space (typically a desk) within a category.

* In the case of a team breakdown, the space set may be the name of the team.
* In the case of a zone breakdown, the space set may be the name of the zone.

The following key metrics are available for a space set:

* capacity
* average
* peak
* free at peak