Bulk Uploading Rooms

This article provides specific details on bulk uploading rooms using the powerful bulk upload feature.

The Bulk Upload article provides common general instruction on how to bulk upload various information into Grado. The focus here is on the crucial aspects of the CSV template for rooms. We will explore the required fields, clarify what information is essential, outline validation requirements, and show the correct format for a successful upload.

Prerequisites

Needs at least one building existing in the system.

Bulk Uploading Rooms

Please follow the instructions here.

CSV Template Anatomy

Upon opening the CSV template for bulk uploading rooms, you will see the following headers:

The table below outlines what each header mean as well acceptable values and validations for successful bulk upload of fees:

Template Header	Description	Required?	Case-Sensitive?	Acceptable Values	Sample Values
Building name	Name of the building/facilty the room will be associated to.	YES	NO	School building name already existing in the system	MB HV Lab
Room Name or Number	Name, number, or code identifier for the room.	YES	NA	Room name	LC1 LC2 LC3 201 203
Room description	Simple description of the room.	NO	NA	Room description	Lecture Classroom 1 Lecture Classroom 2 Lecture Classroom 3 Computer Lab 1 Computer Lab 2
Room capacity	Maximum number of individuals the room can accommodate.	NO	NA	Room capacity (number)	120 240 40
Room floor location	Specific floor or level where a particular room is situated within the building.	NO	NA	Floor number	1 2

To associate multiple rooms with a single building within the CSV template, users should specify each room on separate rows, providing the necessary details for each room. Each row should correspond to a specific room, containing information such as Building Name, Room Name, Room Capacity, and Room Floor Location. By delineating each room per row in the template, users can accurately establish the connections between rooms and the corresponding building, ensuring proper organization and management of the data during the bulk upload process.