Difference between revisions of "ISSS608 2016-17 T3 Assign RISHI TANDON"
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3. Applumonia | 3. Applumonia | ||
4. Methylosmolene | 4. Methylosmolene | ||
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| + | Data Preparation: | ||
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| + | The location data available includes X,Y, Type and Name. The data preparation was done in R. | ||
Questions | Questions | ||
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To achieve this goal, the following questions are identified: | To achieve this goal, the following questions are identified: | ||
| − | Q1: Characterize the sensors’ performance and operation. Are they all working properly at all times? Can you detect any unexpected | + | Q1: Characterize the sensors’ performance and operation. Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture? |
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| + | A1: The sensor performance varies based on the chemicals detected and the performance measurement can be seen in the diagrams below. | ||
| + | [[File: 2017-07-10 00h21 04.png|500px|thumbnail|left]] | ||
Q2: Now turn your attention to the chemicals themselves. Which chemicals are being detected by the sensor group? What patterns of chemical releases do you see, as being reported in the data? | Q2: Now turn your attention to the chemicals themselves. Which chemicals are being detected by the sensor group? What patterns of chemical releases do you see, as being reported in the data? | ||
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| + | A2: The patterns are explained as follows: | ||
| + | With reference to the graphs below we can understand the chemicals and the patterns in which they affect the release. | ||
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Q3: Which factories are responsible for which chemical releases? Carefully describe how you determined this using all the data you have available. For the factories you identified, describe any observed patterns of operation revealed in the data. | Q3: Which factories are responsible for which chemical releases? Carefully describe how you determined this using all the data you have available. For the factories you identified, describe any observed patterns of operation revealed in the data. | ||
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| + | A3: | ||
Revision as of 01:47, 10 July 2017
We have Mistford a city with a large industrial area in the nature preserve region.
The study is about 4 factories which are releasing 4 sets of chemicals into the air. The local Mistford Government has stepped in to monitor the situation and according step up to take action.
The local government has been monitoring the air quality and conducted it's own studies in the region.
The 4 factories are: 1. Kasios Office Furniture 2. Indigo Sol Boards 3. Roadrunner Fitness Colour Electronics 4. Radiance ColorTec
The 4 chemicals tracked are: 1. AGOC 3A 2. Chlorodinine 3. Applumonia 4. Methylosmolene
Data Preparation:
The location data available includes X,Y, Type and Name. The data preparation was done in R.
Questions The primary goal is to determine which factory (if there is any) is, contributing to the reduced population of RBPs in Mistford. To achieve this goal, the following questions are identified:
Q1: Characterize the sensors’ performance and operation. Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture?
A1: The sensor performance varies based on the chemicals detected and the performance measurement can be seen in the diagrams below.
Q2: Now turn your attention to the chemicals themselves. Which chemicals are being detected by the sensor group? What patterns of chemical releases do you see, as being reported in the data?
A2: The patterns are explained as follows: With reference to the graphs below we can understand the chemicals and the patterns in which they affect the release.
Q3: Which factories are responsible for which chemical releases? Carefully describe how you determined this using all the data you have available. For the factories you identified, describe any observed patterns of operation revealed in the data.
A3:
