Entry Name:  "Purdue-Wei93-MC1"

VAST Challenge 2015
Mini-Challenge 1

 

 

Team Members:

Shuang Wei, Computer Graphics Technology, Purdue University, wei93@purdue.edu, primary

Kai Hu, Purdue Univeristy, Interaction Design, Purdue University, hu332@purdue.edu

Longjie Chen,Statistics, Purdue University,cheng70@purdue.edu

Hui Tang, Computer Graphics Technology,Purdue University, tang227@purdue.edu

Weidan Du, Computer Graphics Technology,Purdue University, du97@purdue.edu

Chen Guo, Computer Graphics Technology, Purdue University, guo171@purdue.edu

Chao Pan, Statistics, Purdue Unviersity, Purdue University ,panc@purdue.edu

Mingran Li, Compter Graphics Technology, Purdue Unviersity,li1940@purdue.edu

Bing Yu, Statistics, Purdue University ,yu245@purdue.edu

XinZhe Li, Harbin Institute of Technology University,

Dr. Yingjie(Victor) Chen, Computer Graphics Technology, Purdue University, victorchen@purdue.edu (Supervising Faculty)

Dr. ZhenYu(Cherly) Qian, Interaction Design, Purdue University, qianz@purdue.edu (Supervising Faculty)

Dr.Yu Michael Zhu, Statistics, Purdue University,yuzhu@purdue.edu (Supervising Faculty)


Student Team:Yes

 

Did you use data from both mini-challenges? No

 

Analytic Tools Used:

D3 library

 

Approximately how many hours were spent working on this submission in total?

 

450h

 

May we post your submission in the Visual Analytics Benchmark Repository after VAST Challenge 2015 is complete?

Yes

 

 

Video Download

Video:

https://va.tech.purdue.edu/vast2015/system/SystemUI_Video_Submit.html

 

 

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Questions

MC1.1Characterize the attendance at DinoFun World on this weekend. Describe up to twelve different types of groups at the park on this weekend. 

a.       How big is this type of group?

b.      Where does this type of group like to go in the park?

c.       How common is this type of group?

d.      What are your other observations about this type of group?

e.      What can you infer about this type of group?

f.        If you were to make one improvement to the park to better meet this group’s needs, what would it be?

Limit your response to no more than 12 images and 1000 words.

 

 

1figure 1.system-overvie

1.1figure2

The first group consists of the visitors who prefer the Kiddie rides (figure2). There are 2557 physical groups, and 8761 people in this type. We infer this type to be a family, such as parents with their 2 or 3 children. One improvement is that the park needs to improve their services that arrange more staffs in the places of Kiddie Rides.

2.

.1figure3

The second group consists of physical groups that have a big population(figure3). There are 31 physical groups, and 1147 people. From treemap we could see they only visit the park on one day. We infer this type to be tour groups. One improvement is to set up specific sequences of visits for these large groups so that large crowd at one ride can be avoided.

3.1figure 4

This type consists of physical groups that never play any rides in the park(figure4). There are 42 physical groups, and 47 people. This type of group only walk shorter trails in the park. We infer this type of group to be local residents. The park could provide annual ticket for this type of group so that they can do exercise in the park regularly.

4.Groups with extremely large number of check-ins at thrill(figure5).

This type consists of physical groups that have more than 40 check-ins at Thrill rides. There are 238 physical groups and 525 people in this type. These groups visit the park on more than one day. They are considerably fond of Thrill rides. As a result, the average number of check-ins at Kiddie rides is as small as 0.28. Meanwhile, they also have relatively large number of check-ins at Everyone ride, with an average of 18.95. We infer that the members in this group are excitement-seeking teenagers. One suggestion we have for the park to better meet the need of this type is to give visitors fast pass if they take certain rides more than certain number of times. In this way, the waiting time for this type can be shortened.
 1figure5

5.Groups with no thrill and no kiddie: elderly visitors.

This type consists of physical groups that have no more than 1 check-in at both Kiddie rides and Thrill rides.There are in total 12 physical groups and 44 people. The visitors in this type come to the park on only one day, and are always in small physical groups. The size for the groups in this type ranges from 2 to 7. The total number of check-ins for this type is universally low, which ranges from 2 to 9. We infer this type to be elderly people group with annual ticket. One improvement for the park is to better serve this type is to give them regular update on the anticipated number of visitors, such that the visitors in this type can avoid large crowds.
4figure6

6.Groups that visit the park for more than one day(figure6).

This type consists of physical groups that visit the park on more than one day. There are 1877 physical groups, and 4341 people. The groups in this type generally have small size, with an average of 2.29 and a maximum of 9. The average number of check-ins for this type is 46.03, half of which are at Thrill rides. We infer this type to be travelers. Depending on their preference over the types of rides, we believe this type consists of two kinds of travelers, which are family and friends. One improvement for the park is to take survey after this type’s first-day visit and give them fast pass based on their preference over rides.

7.Groups with median size(figure7).

This type consists of physical groups that have median group size. There are 108 physical groups and 895 people. The average size is almost 9. They visit the park on only one day, Friday or Saturday. They generally have large numbers of check-ins at Show. We infer this type to consist of relatively large group of kids or teenagers from the local area. One improvement is to give them coupon or discount so that these visitors will revisit the park.
5figure7

5figure8

Group 8

(Figure8, for Enter-Leave Time Viewer, the numbers on axis represent time. The integer represent day, the fraction represent hour. So 6:18 represent 06/06 18:00)

There is a type of group whose members entered the park at Friday around 18:00 and walked out the park at around 20:00. They just stadied in the park around two to three hours and rarely take rides. It seems they are residents, who take a walk after dinner.

5figure9

Group9.

We find there is a type of groups, they enter the park at 9:30-10:00 am and leave around 3:00pm(figrure9). We find this group pattern on three days. Each day has around ten physical groups about twenty to thirty people. The character of these groups is that they rarely watch show but take many everyone and thrill rides. They have clear target and walk the short path. The park may provide park car for these people who just here few hours for rides.

5figure10

Group10.

We find on weakend, when people leave the park, there is an obvious pattern(figure10). There are three groups when people leave. One group is after 8:00pm, one is after 9:00pm, and the last group is leave after 10 pm. There are about ten minutes gaps between different group. So we think there may have some big events like shows closed at 8:00pm, 9:00pm and 10:00m pm.

5figure11

Group11.

From enter leave time, we could easliy find big groups (large circle) is on the diagonal, which means they enter and leave on the same day(figure11). Form the treemap, we could also find this on forth level, the small number in the center indicate the group size. The color of the block represent large group is darker on one day. And we can also find they enter the park from North entry. North entry is very busy compared with the other two. Park manager may consider set group pass on West and East entry to disperse people.

5Figure12

 

  Group12. A group of people come in from the right entrance, walked 4 rounds along a fixed route(figure12). We can also notice they came into the part in early morning, walk to the east-north corner, rest there. Then came back to the entry from same path. They repeat the path 4 rounds and walk wiggly. We consider it's a team for parade performance. 

 

 

 

 MC1.2 – Are there notable differences in the patterns of activity on in the park across the three days?  Please describe the notable difference you see.

 

The number of visitors increases day by day. The stay periods also increase if there is a large increase in the number of people. However, Figure 1 shows the general shapes for most rides change a little.
Small Multiples
Figure 1. Small Multiples
We divide the small multiples into 5 groups:
Group1: Entries

Clustering 
Figure 2. Clustering

Group2: irregular patterns for line count & periodical patterns for stay periods
(Ride: 1, 6, 8, 10 – 19, 21 – 31, 62)

Group3: periodical patterns for line count & stay time
(Ride: 64, 9, 20)

Group4: symmetry trapezoid patterns:
(Rides: 81, 7, 2 – 5)

Group5: Special ones
(Rides: 32, 63)
Ride 32(Figure3)

Detail

Ride 63(Figure1)

 

 

 

 

MC1.3What anomalies or unusual patterns do you see? Describe no more than 10 anomalies, and prioritize those unusual patterns that you think are most likely to be relevant to the crime.

 

  1. A tourist played Thrill Rides 80 times in three days, but 0 times for Kiddie Ride. We believe that a person played Thrill Rides 80 times within three days that is an extreme case. He/She must like stimulating game.

1

2. A tourist who has spent 120 minutes to wait the show of Creighton Pavilion, which can be seen an outlier. We speculate that he may not the tourist who purely to see the performances.2

3.A tourist has spent 140 minutes to wait and play Scholtz Express, which can be regarded as an outlier. The wait time for the ride is around 30 to 40 minutes. So the tourist was waiting there about 140 minutes is abmornal.

3

4.A tourist had no any check in (enter record), but played some rides in the park, which can be seen an abnormal event.  This proves that the tourist never buy a ticket.

4

5.The Grinosaurus Stage was closed on Sunday afternoon, which can be seen an outlier. Perhaps there was any emergency or crime events happened during that period.

5

6.A group of visitors walked up to 4,500 steps in the park but never played any ride.  The reason may be the type of visitors just walking for exercise in the park.

6

7.A crowd of visitors got in and out the park 12 times in three days. That's abnormal.

7

8. A tourist who’s ID is 657363 stayed in the park over the night, which should be an outlier. It is very strange because no one would like to leave in the park overnight. Maybe he missed the time to get out. Or he wanted to do something bad. The tourist is likely to relate with the crime incidents occurred in the park.

9. One person came in and hid in the bottom left corner (the 32 pavilion). He walked out the next morning. It is so strange that no body knows where he went and what he did.