Difference between revisions of "ANLY482 AY2017-18T2 Group32: Project Overview/Data"
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− | | style="padding: 0.25em; font-size: 90%; border-top: 1px solid #000000; border-left: 1px solid #cccccc; border-right: 1px solid #000000; border-bottom: 1px solid #000000; text-align:center; background-color: #404040; width:33.3%" | [[ANLY482_AY2017-18T2_Group32: Project Overview/ Data | <font color="#ffffff">Data</font>]] | + | | style="padding: 0.25em; font-size: 90%; border-top: 1px solid #000000; border-left: 1px solid #cccccc; border-right: 1px solid #000000; border-bottom: 1px solid #000000; text-align:center; background-color: #404040; width:33.3%" | [[ANLY482_AY2017-18T2_Group32: Project Overview/Data | <font color="#ffffff">Data</font>]] |
− | | style="padding: 0.25em; font-size: 90%; border-top: 1px solid #000000; border-left: 1px solid #000000; border-right: 1px solid #000000; border-bottom: 1px solid #000000; text-align:center; background-color: none; width:33.3%" | [[ANLY482_AY2017-18T2_Group32: Project Overview/ Methodology | <font color="#f6a228">Methodology</font>]] | + | | style="padding: 0.25em; font-size: 90%; border-top: 1px solid #000000; border-left: 1px solid #000000; border-right: 1px solid #000000; border-bottom: 1px solid #000000; text-align:center; background-color: none; width:33.3%" | [[ANLY482_AY2017-18T2_Group32: Project Overview/Methodology | <font color="#f6a228">Methodology</font>]] |
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Revision as of 23:42, 14 January 2018
Description | Data | Methodology |
Metadata
We will be working with data entailing the problems customers face while using Shopee and how it was solved. A preview of the column metadata can be seen below:
Column Name | Data Type |
---|---|
Time_problem_raised | Time |
Time_problem_solved | Time |
Method_used | String |
Count_interactions | Numeric |
Issue_type | Numeric |
Final_customer_review | Numeric |
This metadata was obtained through our communications with Shopee Human Resources Team. However, they have notified us that they would require more time to verify with their internal Data Engineering and Operations teams before they can give us the final metadata as well as the preview of the dataset.