Difference between revisions of "Question 1"
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| − | [[ISSS608_2016-17_T1_Assign3_Liu_Jialin| <font color="#FFFFFF">Overview | + | [[ISSS608_2016-17_T1_Assign3_Liu_Jialin| <font color="#FFFFFF">Overview</font>]] |
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| + | [[Data Preparation| <font color="#FFFFFF">Data Preparation</font>]] | ||
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| + | <b>Identify those IDs that stand out for their large volumes of communication. For each of these IDs:<br> | ||
| + | <ul> | ||
| + | <li>Characterize the communication patterns you see.</li> | ||
| + | <li>Based on these patterns, what do you hypothesize about these IDs? Note: Please limit your response to no more than 4 images and 300 words.</li> | ||
| + | </ul> | ||
| + | </b> | ||
| + | <br> | ||
| + | Answer:<br> | ||
Firstly, use the concatenate function in JMP to compile the communication data across 3 days into one file. Use distribution function to see “from” and “to” distributions:<br> | Firstly, use the concatenate function in JMP to compile the communication data across 3 days into one file. Use distribution function to see “from” and “to” distributions:<br> | ||
<br> | <br> | ||
| + | [[Image:LJL_Q1_1.png|650px]]<br> | ||
| + | From the distribution, we can see the very outstanding IDs of 1278894 and 839736. Use both the communication dataset and the movement datasets to analyse these two IDs:<br> | ||
<br> | <br> | ||
| − | |||
<br> | <br> | ||
| + | [[Image:LJL_Q1_2.png|650px]]<br> | ||
For 1278894, it sends out messages at very regular 5-minute intervals every other hour for 3 days. The amount of message sent is proportional to the number of visitors on the day. The location for this ID is only at Entry Corridor. There is no movement record for this ID in all three movement datasets. From all these information, we can hypothesise that this ID is a robot that sends out messages to visitors around the entry corridor and can receive messages. However, it has no reply function.<br> | For 1278894, it sends out messages at very regular 5-minute intervals every other hour for 3 days. The amount of message sent is proportional to the number of visitors on the day. The location for this ID is only at Entry Corridor. There is no movement record for this ID in all three movement datasets. From all these information, we can hypothesise that this ID is a robot that sends out messages to visitors around the entry corridor and can receive messages. However, it has no reply function.<br> | ||
<br> | <br> | ||
| + | <br> | ||
| + | [[Image:LJL_Q1_3.png|650px]]<br> | ||
For 839736, there is also no movement record in the movement datasets. The location for this ID is only at Entry Corridor. The timestamp for the messages sent by this ID is irregular. Therefore, we hypothesise that this ID is likely to be a helpline staff who answers questions or messages sent by the visitors. There is a surge in messages sent from 839736 on Sunday, which is likely to be related to crime and will be further investigated in Question 3.<br> | For 839736, there is also no movement record in the movement datasets. The location for this ID is only at Entry Corridor. The timestamp for the messages sent by this ID is irregular. Therefore, we hypothesise that this ID is likely to be a helpline staff who answers questions or messages sent by the visitors. There is a surge in messages sent from 839736 on Sunday, which is likely to be related to crime and will be further investigated in Question 3.<br> | ||
| + | <br> | ||
<br> | <br> | ||
After these discoveries, we temporarily exclude messages sent by and sent to these two IDs, which totalled 501,884. The rest of the IDs have movement records in the communication dataset and movement datasets, so they can be determined to be visitors or staff who walk around in the park. These IDs will be discussed in detail in Question 2. | After these discoveries, we temporarily exclude messages sent by and sent to these two IDs, which totalled 501,884. The rest of the IDs have movement records in the communication dataset and movement datasets, so they can be determined to be visitors or staff who walk around in the park. These IDs will be discussed in detail in Question 2. | ||
Latest revision as of 22:00, 28 October 2016
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Identify those IDs that stand out for their large volumes of communication. For each of these IDs:
- Characterize the communication patterns you see.
- Based on these patterns, what do you hypothesize about these IDs? Note: Please limit your response to no more than 4 images and 300 words.
Answer:
Firstly, use the concatenate function in JMP to compile the communication data across 3 days into one file. Use distribution function to see “from” and “to” distributions:
From the distribution, we can see the very outstanding IDs of 1278894 and 839736. Use both the communication dataset and the movement datasets to analyse these two IDs:
For 1278894, it sends out messages at very regular 5-minute intervals every other hour for 3 days. The amount of message sent is proportional to the number of visitors on the day. The location for this ID is only at Entry Corridor. There is no movement record for this ID in all three movement datasets. From all these information, we can hypothesise that this ID is a robot that sends out messages to visitors around the entry corridor and can receive messages. However, it has no reply function.
For 839736, there is also no movement record in the movement datasets. The location for this ID is only at Entry Corridor. The timestamp for the messages sent by this ID is irregular. Therefore, we hypothesise that this ID is likely to be a helpline staff who answers questions or messages sent by the visitors. There is a surge in messages sent from 839736 on Sunday, which is likely to be related to crime and will be further investigated in Question 3.
After these discoveries, we temporarily exclude messages sent by and sent to these two IDs, which totalled 501,884. The rest of the IDs have movement records in the communication dataset and movement datasets, so they can be determined to be visitors or staff who walk around in the park. These IDs will be discussed in detail in Question 2.
