Difference between revisions of "IS428 2016-17 Term1 Assign3 Yang Chengzhen"
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=Data Preparation= | =Data Preparation= | ||
| − | ==Create HH:MM:SS Field from timestamp== | + | ====Create HH:MM:SS Field from timestamp==== |
| − | To analyse the moving pattern over each day, we need to extract time from the date since tableau does not support auto extract well. | + | To analyse the moving pattern over each day, we need to extract time from the date since tableau does not support auto extract well.<br> |
| + | [[File:Cz Hhmmss.png]] | ||
| + | ====Convert Server room to the corresponding Zone==== | ||
| + | To analyse the moving pattern over each day, we need to extract time from the date since tableau does not support auto extract well.<br> | ||
| + | [[File:Cz ServerRoom.png|600x360px]] | ||
=Data Visualization and Findings= | =Data Visualization and Findings= | ||
Revision as of 18:41, 22 October 2016
Contents
Description
After the successful resolution of the 2014 kidnapping at GAStech’s Abila, Kronos office, GAStech officials determined that Abila offices needed a significant upgrade. At the end of 2015, the growing company moved into a new, state-of-the-art three-story building near their previous location. Even though the employee morale rose somewhat with the excitement of the new building, there are still a few disgruntled employees in the company.
This project aims to identify the patterns and problems arose after moving to the new office building for GASTech. This is achieved by using GASTech operational data sets, including:
- Proximity sensor data for each of the prox zone regions
- Proximity sensor data from Rosie the mobile robot
- HVAC sensor readings and status information from each of the building’s HVAC zones
- Hazium readings from four sensors
Data Preparation
Create HH:MM:SS Field from timestamp
To analyse the moving pattern over each day, we need to extract time from the date since tableau does not support auto extract well.
Convert Server room to the corresponding Zone
To analyse the moving pattern over each day, we need to extract time from the date since tableau does not support auto extract well.
