Difference between revisions of "IS428 AY2019-20T1 Assign Foo Yong Long:R&R"

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== Question 4 ==
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===Summarize the state of radiation measurements at the end of the available period. Use your novel visualizations and analysis approaches to suggest a course of action for the city.===
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----
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<br>
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<p>
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<div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 0px;font-size:20px"><font face="Arial" color=#fbfcfd><center>'''Contamination Control'''</center></font></div>
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
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|-
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 10%;" | No.
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 90%;" | Description
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|-
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|
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1
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||
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[[File:EndState.jpg| 900px |center]]
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Highly likely contaminated cars with sensor IDs 20,21,22,24,25,27,28,29 and 45 has left the country. The government should issue a warning to search for these 9 vehicles.
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|
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|-
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|
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2
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||
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[[File:EndState6Hrs.jpg| 900px |center]]
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The graph above shows the standard deviation and average value of sensor readings for the last 6 hours that are still in the city. Sensor 1,26,35 and 47 has to be checked and replaced as they may be faulty with 0 standard deviations in readings for the last 6 hours. The government will have to Monitor mobile sensor 32 carefully as it has a high variability of sensor readings and its average value is reaching the warning level. 
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|}
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===Use visual analytics to compare the static sensor network to the mobile sensor network. What are the strengths and weaknesses of each approach? How do they support each other?===
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----
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<br>
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<p>
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<div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 0px;font-size:20px"><font face="Arial" color=#fbfcfd><center>'''Areas with Coverage'''</center></font></div>
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[[File:Mobilesensorcoverage.png| 900px |center]]
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
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|-
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 10%;" | No.
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 90%;" | Description
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|-
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|
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3
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||
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[[File:DropMobileSensor.png| 900px |center]]
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The mobile sensors are able to cover a wider area. The graph above shows a decrease in overall mobile sensors from Monday to Friday. This can be due to wear and tear and vehicles traveling out of the city.
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[[File:Wednesday.png| 900px |center]]
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Furthermore, the area of coverage are dependent on the travel routes of the vehicles, which are unpredictable. For example, based on the graph above, there are no mobile sensors around the Safe Town, and thus we have limited coverage of the area around the Nuclear Plant.
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Nonetheless, they still provide much better coverage of the city compared to the static sensors.
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|-
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|
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4
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||
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[[File:StaticSensorCoverage.png| 900px |center]]
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The static sensor coverage is weaker compared to Mobile Sensors, covering only 9 out of 19 locations. Furthermore, it might be unreliable at close range distances. However, it is still easier to manage and implement compared to mobile sensors.
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|-
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|
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5
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||
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All in all, there is a need to have two types of sensors on the ground. The mobile sensors help to achieve coverage which static sensors can't while static sensors help to make up for the inconsistency that is present in mobile sensors.
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|}
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== Question 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.===
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----
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<br>
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<p>
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<div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 0px;font-size:20px"><font face="Arial" color=#fbfcfd><center>'''Analyzing the data as a stream'''</center></font></div>
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
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|-
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 10%;" | No.
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 90%;" | Description
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|-
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|
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1
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||
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The dataset given consist of real-time data. It is where analytics is performed on a moving / scrolling data to unconver patterns or insights. As the timeframe given is continuous, the environment will be constantly be changing every second.
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In the process of analyzing and designing the dashboard, I ensure that Timestamp is set to continuous and incorporated into my filters to undergo a more thorough analysis of the data.
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|}
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===How do you think this choice affected your analysis?===
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----
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<br>
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<p>
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<div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 0px;font-size:20px"><font face="Arial" color=#fbfcfd><center>'''Dynamic versus Static Analysis'''</center></font></div>
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
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|-
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 10%;" | No.
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 90%;" | Description
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|-
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|
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2
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||
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[[File:StaticVsDynamic2.png| 900px |center]]
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For example in the graph above, instead of utilizing time-stamp as a dimension, it should be converted to continuous data to uncover missing gaps and find patterns within the time frame.
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|}
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
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|-
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 10%;" | No.
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! style="font-weight: bold;background: #536a87;color:#fbfcfd;width: 90%;" | Description
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|-
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|
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3
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||
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[[File:StaticVsDynamic1.png| 900px |center]]
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Similarly to the previous example, by analyzing data as a stream of data, I can see the areas being covered at each particular instance instead of having an average count of sensors within a given time frame.
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Throughout my analysis, all data points have been analyzed as a continuous stream of data.
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|}

Latest revision as of 22:44, 13 October 2019

Cover.png


OVERVIEW

DATA TRANSFORMATION

RISKS

RECOMMENDATION AND RATIONALE

VISUALIZATION


Question 4

Summarize the state of radiation measurements at the end of the available period. Use your novel visualizations and analysis approaches to suggest a course of action for the city.


Contamination Control
No. Description

1

EndState.jpg

Highly likely contaminated cars with sensor IDs 20,21,22,24,25,27,28,29 and 45 has left the country. The government should issue a warning to search for these 9 vehicles.

2

EndState6Hrs.jpg

The graph above shows the standard deviation and average value of sensor readings for the last 6 hours that are still in the city. Sensor 1,26,35 and 47 has to be checked and replaced as they may be faulty with 0 standard deviations in readings for the last 6 hours. The government will have to Monitor mobile sensor 32 carefully as it has a high variability of sensor readings and its average value is reaching the warning level.

Use visual analytics to compare the static sensor network to the mobile sensor network. What are the strengths and weaknesses of each approach? How do they support each other?


Areas with Coverage
Mobilesensorcoverage.png
No. Description

3

DropMobileSensor.png

The mobile sensors are able to cover a wider area. The graph above shows a decrease in overall mobile sensors from Monday to Friday. This can be due to wear and tear and vehicles traveling out of the city.


Wednesday.png

Furthermore, the area of coverage are dependent on the travel routes of the vehicles, which are unpredictable. For example, based on the graph above, there are no mobile sensors around the Safe Town, and thus we have limited coverage of the area around the Nuclear Plant.

Nonetheless, they still provide much better coverage of the city compared to the static sensors.

4

StaticSensorCoverage.png

The static sensor coverage is weaker compared to Mobile Sensors, covering only 9 out of 19 locations. Furthermore, it might be unreliable at close range distances. However, it is still easier to manage and implement compared to mobile sensors.

5

All in all, there is a need to have two types of sensors on the ground. The mobile sensors help to achieve coverage which static sensors can't while static sensors help to make up for the inconsistency that is present in mobile sensors.

Question 5

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.


Analyzing the data as a stream
No. Description

1

The dataset given consist of real-time data. It is where analytics is performed on a moving / scrolling data to unconver patterns or insights. As the timeframe given is continuous, the environment will be constantly be changing every second.

In the process of analyzing and designing the dashboard, I ensure that Timestamp is set to continuous and incorporated into my filters to undergo a more thorough analysis of the data.

How do you think this choice affected your analysis?


Dynamic versus Static Analysis


No. Description

2

StaticVsDynamic2.png

For example in the graph above, instead of utilizing time-stamp as a dimension, it should be converted to continuous data to uncover missing gaps and find patterns within the time frame.

No. Description

3

StaticVsDynamic1.png

Similarly to the previous example, by analyzing data as a stream of data, I can see the areas being covered at each particular instance instead of having an average count of sensors within a given time frame.

Throughout my analysis, all data points have been analyzed as a continuous stream of data.

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