IS428 2016-17 Term1 Assign3 Chua Feng Ru

Problem & Motivation

While the new office is built to the highest energy efficiency standard, the problem is that there are still several HVAC issues to work out. And thus, the motivation is to use visual analytics to find out what are the most probable issues within the new building.

Data Cleaning and Transformation

Building Data

As for the initial building data, the data is structured such that each record or row has multiple columns as the data elements. The first step is to use JMP Pro to structure the data in the format of (Date/Time, Floor, Zone, Building Data Attribute, Value).

The process in transforming the data, is to first use the "Stack" feature of JMP Pro. This will allow me to format the data as below:

However, I realised that certain fields still contain Floor and Zone information. Thus, I used a series of formulas to separate the Floor and Zone information from the label. The following are the formulas which are used to accomplish the data cleaning process.

Hazium Concentration Data

For the Hazium Concentration Data, I realised that there are the files are splitted according to the sensors in each zone or floor. The first thing to do is to join the files together into 1 single table, with JMP Pro's "Concatenate" table function.

After that is done, I will have multiple columns of Hazium readings, I perform similar function of using the "Stack" feature to restructure the data. And formulas is also used to split the get the relevant zones and floor information. And the end product is as of below:

Data Findings and Analysis

Q2: Interesting Pattern in Data

No.	Interesting Pattern	Possible Significance
1	Spike in Hazium Concentration	The spike in hazium concentration can potentially cause harm to the occupants within the zone.
2	Spike in CO2 Concentration	This can potentially cause danger to the people in the affected area at > 1000PPM.
3	Peak of Thermostat Temperature	This is not considered to be dangerous, however it is interesting to note that out of the entire 2 weeks, the data is highest at this 2 points. And can serve as a basis to find out if the something is not functioning well in the HVAC system to bring down the temperature.
4	Spike in CO2 Concentration	Example
5	Spike in CO2 Concentration	Example
6	Spike in CO2 Concentration	Example
7	Spike in CO2 Concentration	Example
8	Spike in CO2 Concentration	Example