Difference between revisions of "ISSS608 2017-18 T3 Assign Weijie Jay Zheng"

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<font size="5"><font color="#8B4513">'''Problem Statement'''</font></font>
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<font size="5"><font color="#8B4513">'''Stop Polluting the Boonsong Lekagul Wildlife Reserves'''</font></font>
  
 
In MC Challenge 2017, the Kasios Furniture Company was implicated in environment damage to the Boonsong Lekagul Wildlife for both dumping toxic waste and polluting the air with chemicals from its manufacturing process.([http://vacommunity.org/VAST+Challenge+2018+MC2 MC2 Challenge Overview]). The soil has since not been able to use for evidence, as construction work was conducted on the site.  
 
In MC Challenge 2017, the Kasios Furniture Company was implicated in environment damage to the Boonsong Lekagul Wildlife for both dumping toxic waste and polluting the air with chemicals from its manufacturing process.([http://vacommunity.org/VAST+Challenge+2018+MC2 MC2 Challenge Overview]). The soil has since not been able to use for evidence, as construction work was conducted on the site.  

Revision as of 19:49, 8 July 2018

Link to go back to MITB class page

VAST Challenge 2017:Mystery at the Wildlife Preserve

Problem Statement

Dataset Visualisation

Data Analysis Proceeding

Findings

 


Stop Polluting the Boonsong Lekagul Wildlife Reserves

In MC Challenge 2017, the Kasios Furniture Company was implicated in environment damage to the Boonsong Lekagul Wildlife for both dumping toxic waste and polluting the air with chemicals from its manufacturing process.(MC2 Challenge Overview). The soil has since not been able to use for evidence, as construction work was conducted on the site.

With a hope to find out alternative evidence for Kasio's environment damage, the Mistford College Hydrology Department has provided a dataset of water sensor readings from rivers and streams in the preserve. The task is simply, analyse the dataset to find any evidence to support the claim against Kasio's environment damage.



Mini Challenge 2 - Background and Problem Statement

View the interactive Tableau design here: Link to tableau dashboard


Before we start, what do you need to know?

1. The Gates
Based on the data description and reserve map, the restricted gates are highlighted in red.

2. The time

3. The Cars

4. The Visitors The visitors were segmented as follows based on the nature of their movements in the reserve.

The graph below shows the composition of each cluster by car types.

5. The Data
Timestamp: the date and time the sensor reading was taken
Car-id: the assigned car ID from the entry gate
Car-type: Vehicle type as enumerated above. “P” is appended when it is a park vehicle
Gate-name: name of the sensors taking the reading. See the map

6. The Reserve Map