Difference between revisions of "ANLY482 AY2016-17 T2 Group10 Project Overview: Data"
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| − | ==<div style="background: #ffffff; padding: 17px;padding:0.3em; letter-spacing:0.1em; line-height: 0.1em; text-indent: 10px; font-size:17px; text-transform:uppercase; font-weight: light; font-family: 'Century Gothic'; border-left:8px solid #1b96fe"><font color= #000000><strong>Data Summary</strong></font></div>== | + | ==<div style="background: #ffffff; padding: 17px;padding:0.3em; letter-spacing:0.1em; line-height: 0.1em; text-indent: 10px; font-size:17px; text-transform:uppercase; font-weight: light; font-family: 'Century Gothic'; border-left:8px solid #1b96fe; margin-bottom:5px"><font color= #000000><strong>Data Summary</strong></font></div>== |
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With the understanding of our sponsor’s motivations, our team sets in motion the data wrangling process – one that encompasses data cleaning, transformation and integration to obtain a consolidated JMP data table used for further analysis. For this research study, we have obtained a year’s worth of data from 2016. It consists of information on invoices, call details, employees and customers – each of which described in the summary table below | With the understanding of our sponsor’s motivations, our team sets in motion the data wrangling process – one that encompasses data cleaning, transformation and integration to obtain a consolidated JMP data table used for further analysis. For this research study, we have obtained a year’s worth of data from 2016. It consists of information on invoices, call details, employees and customers – each of which described in the summary table below | ||
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The data dictionary is available [https://docs.google.com/a/smu.edu.sg/document/d/17TYnpCpPC6bNzLZRglWHc83AfyzkjPMKdaQ-BkVIQMg/edit?usp=sharing here] | The data dictionary is available [https://docs.google.com/a/smu.edu.sg/document/d/17TYnpCpPC6bNzLZRglWHc83AfyzkjPMKdaQ-BkVIQMg/edit?usp=sharing here] | ||
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Latest revision as of 10:29, 21 April 2017
Data Summary
With the understanding of our sponsor’s motivations, our team sets in motion the data wrangling process – one that encompasses data cleaning, transformation and integration to obtain a consolidated JMP data table used for further analysis. For this research study, we have obtained a year’s worth of data from 2016. It consists of information on invoices, call details, employees and customers – each of which described in the summary table below
| File Name | Description | No. of Rows |
| Call Details | Information on actual interaction between Sales Reps, Sale Targets for a Product Brand | 42915 |
| Invoice Details | Transactions of product purchases by Sales Targets | 110372 |
| Employee | Information on employees and their teams - “Therapy Area” | 237 |
| HCP | Information on individual doctors | 5871 |
| HCO | Information on clinics, organizations | 4425 |
Data Dictionary
The data dictionary is available here
