Difference between revisions of "IS428 AY2019-20T1 Assign Lim Zi Yuan 5"

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(/* The data for this challenge can be analyzed either as a static collection or as a dynamic stream of data, as it would occur in a real emergency. Describe how you analyzed the data - as a static collection or a stream. How do you think this choice af...)
 
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==The data for this challenge can be analyzed either as a static collection or as a dynamic stream of data, as it would occur in a real emergency. Describe how you analyzed the data - as a static collection or a stream. How do you think this choice affected your analysis? Limit your response to 200 words and 3 images.==
 
==The data for this challenge can be analyzed either as a static collection or as a dynamic stream of data, as it would occur in a real emergency. Describe how you analyzed the data - as a static collection or a stream. How do you think this choice affected your analysis? Limit your response to 200 words and 3 images.==
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I analyzed the data using both static and dynamic techniques. Having a dynamic stream of data allows us to monitor data change over time whilst a static collection looks at 'fixed' data. I mostly used dynamic data to discover patterns over a time period, minute/hour/day. An instance of this would be the use of the line graph plotted against hours. By doing so, I am able to compare between each sensor at any given hour, allowing me to identify hidden patterns.
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[[File:Static hourly reading.png|500px|centre]]

Latest revision as of 04:14, 12 October 2019

VAST 2019 MC2: Citizen Science to the Rescue

Problem and Motivation

Dataset Analysis and Transformation

Interactive Visualizations

Observations


 

The data for this challenge can be analyzed either as a static collection or as a dynamic stream of data, as it would occur in a real emergency. Describe how you analyzed the data - as a static collection or a stream. How do you think this choice affected your analysis? Limit your response to 200 words and 3 images.

I analyzed the data using both static and dynamic techniques. Having a dynamic stream of data allows us to monitor data change over time whilst a static collection looks at 'fixed' data. I mostly used dynamic data to discover patterns over a time period, minute/hour/day. An instance of this would be the use of the line graph plotted against hours. By doing so, I am able to compare between each sensor at any given hour, allowing me to identify hidden patterns.

Static hourly reading.png