Difference between revisions of "ANLY482 AY2016-17 T2 Group 2 Project Overview Data Source"

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# data_cst.xlsx (contains information of registered customers of Kaiso Ticketing)
 
# data_cst.xlsx (contains information of registered customers of Kaiso Ticketing)
  
−
==<div style="background: #6A8D9D; line-height: 0.3em; font-family:helvetica;  border-left: #466675 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Musical data</strong></font></div></div>==
+
==<div style="background: #6A8D9D; line-height: 0.3em; font-family:helvetica;  border-left: #466675 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Musical data (before launch)</strong></font></div></div>==
 
<div style="margin:20px; padding: 10px; background: #ffffff; text-align:left; font-size: 95%;-webkit-border-radius: 15px;-webkit-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96); -moz-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);">
 
<div style="margin:20px; padding: 10px; background: #ffffff; text-align:left; font-size: 95%;-webkit-border-radius: 15px;-webkit-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96); -moz-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);">
−
<p>Two datasets were provided for this, the first one is a year-long dataset and the second dataset is a two months long dataset. These datasets contains every instance of transaction data for customer purchases for that time period. These purchases were made via phone booking only, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.
+
<p>Two datasets were provided for this, the first one is a year-long dataset and the second dataset is a two months long dataset. These datasets contains every instance of transaction data for customer purchases for that time period. These purchases were made via phone booking only, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.</p>
 +
<p>
 +
For the year-long dataset:
 
</p>
 
</p>
−
 
 
{|class="wikitable" width="100%"
 
{|class="wikitable" width="100%"
 
|-
 
|-
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         ! PerformanceDate
 
         ! PerformanceDate
 
| The date and time where the performance is held.
 
| The date and time where the performance is held.
 +
|}
 +
 +
<p>
 +
For the two month long dataset:
 +
</p>
 +
{|class="wikitable" width="100%"
 +
|-
 +
! width="30%" | Data Field
 +
! Description
 +
 +
        |-
 +
        ! Dummy
 +
| The account number of the customer.
 +
       
 +
        |-
 +
        ! Time Attempt
 +
| The date and time that the purchase was made
 +
 +
        |-
 +
        ! Product Type
 +
| Either Local or Overseas.
 +
 +
        |-
 +
        ! Total Amount
 +
| The amount of the ticket that was purchased.
 +
 +
        |-
 +
        ! Type
 +
| The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
 +
 +
        |-
 +
        ! Performance Date
 +
| The date and time where the performance is held.
 +
 +
        |-
 +
        ! Seat Selection
 +
| Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.
 
|}
 
|}
 
</div>
 
</div>
  
 +
==<div style="background: #6A8D9D; line-height: 0.3em; font-family:helvetica;  border-left: #466675 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Musical data (after launch)</strong></font></div></div>==
 +
<div style="margin:20px; padding: 10px; background: #ffffff; text-align:left; font-size: 95%;-webkit-border-radius: 15px;-webkit-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96); -moz-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);">
 +
<p>This dataset contains every instance of transaction data for customer purchases. These purchases were made via phone and internet purchasing, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.</p>
 +
<p>
 +
For the year-long dataset:
 +
</p>
 +
{|class="wikitable" width="100%"
 +
|-
 +
! width="30%" | Data Field
 +
! Description
 +
 +
        |-
 +
        ! Account Number
 +
| The account number of the customer.
 +
       
 +
        |-
 +
        ! TicketStatus
 +
| Processing status of the purchase. A means that purchase has not been processed while S means that it has been processed.
 +
 +
        |-
 +
        ! Channel
 +
| I is for internet and V is for Phone.
 +
 +
        |-
 +
        ! SoldTime
 +
| The date and time that the purchase was made
 +
 +
        |-
 +
        ! Product
 +
| Either Local or Overseas.
 +
 +
        |-
 +
        ! TicketAmount
 +
| The amount of the ticket that was purchased.
 +
 +
        |-
 +
        ! TicketType
 +
| The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
 +
 +
        |-
 +
        ! PerformanceDate
 +
| The date and time where the performance is held.
 +
 +
        |-
 +
        ! Seat Selection
 +
| Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.
 +
 +
        |-
 +
        ! Customer
 +
| ‘old’ means that it is not an old customer while new means that it is a ‘new’ customer.
 +
|}
 
</div>
 
</div>

Revision as of 20:55, 19 February 2017


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Background Data Source Methodology

Data Source

To facilitate our analysis, Kaiso has provided us with datasets that consists of transaction data, concerts information data and customer demographics data.

  1. musical15.csv (contains musical transaction data made via phone booking from April 2015 till March 2016)
  2. musicalAug-Oct.csv (contains musical transaction data made via phone booking from August 2016 till October 2016)
  3. musicalrb.csv (contains musical transaction data made via phone and internet booking from 25 October 2016 till November 2016)
  4. concerts15.csv (contains concerts transaction data made via phone booking from April 2015 till March 2016)
  5. concertsAug-Oct.csv (contains concerts transaction data made via phone booking from August 2016 till October 2016)
  6. concertsrb.csv (contains concerts transaction data made via phone and internet booking from April 2015 till March 2016)
  7. Concerts_Master.csv (contains all concerts information for 2016)
  8. Concerts_Name.xlsx (contains all concerts information for 2015)
  9. data_cst.xlsx (contains information of registered customers of Kaiso Ticketing)

Musical data (before launch)

Two datasets were provided for this, the first one is a year-long dataset and the second dataset is a two months long dataset. These datasets contains every instance of transaction data for customer purchases for that time period. These purchases were made via phone booking only, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.

For the year-long dataset:

Data Field Description
Account Number The account number of the customer.
SoldDate The date and time that the purchase was made
Product Either Local or Overseas.
TicketAmount The amount of the ticket that was purchased.
TicketType The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
PerformanceDate The date and time where the performance is held.

For the two month long dataset:

Data Field Description
Dummy The account number of the customer.
Time Attempt The date and time that the purchase was made
Product Type Either Local or Overseas.
Total Amount The amount of the ticket that was purchased.
Type The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
Performance Date The date and time where the performance is held.
Seat Selection Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.

Musical data (after launch)

This dataset contains every instance of transaction data for customer purchases. These purchases were made via phone and internet purchasing, part of the remote purchasing services. Musical purchases can be in the form of local musicals or overseas musicals.

For the year-long dataset:

Data Field Description
Account Number The account number of the customer.
TicketStatus Processing status of the purchase. A means that purchase has not been processed while S means that it has been processed.
Channel I is for internet and V is for Phone.
SoldTime The date and time that the purchase was made
Product Either Local or Overseas.
TicketAmount The amount of the ticket that was purchased.
TicketType The kind of ticket type. For example, "CAT1", "CAT2", "VIP BOX".
PerformanceDate The date and time where the performance is held.
Seat Selection Y means that the seat can be randomly allocated while N means that the customer wishes to choose the seat.
Customer ‘old’ means that it is not an old customer while new means that it is a ‘new’ customer.
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