Difference between revisions of "ANLY482 AY2017-18T2 Group01: Project Findings"

Revision as of 21:25, 25 February 2018

Due to confidentiality, we cannot share data details. For more information, please refer to our e-learn drop box or email us.

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-<div style="background:#AE0000; line-height:0.3em; font-family:montserrat; font-size:120%; border-left:#FFE2C0 solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>'''Methodology'''
-<font color="#fff"></font> </strong></font></div></div>
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+Due to confidentiality, we cannot share data details. For more information, please refer to our e-learn drop box or email us.
-Since we are awaiting signing of the NDA, we have not received the data from our sponsors yet. However, the initial steps we will undertake upon receiving the data are as follows:
-[[File:Data Steps.png|700 px|centre|]]
-<br />
-* Understanding the data using metadata
-* Data Cleaning to check for mistakes, handle missing values, remove outliers, standardize formatting and integrate datasets if needed.
-* Exploratory Data Analysis to extract important variables, look for patterns, test our hypothesis and determine relationships across variables.
-* Data Transformation by creating metrics and using techniques such as binning if needed
-Concurrently, we have been researching on consumer dining habits to identify trends in eatigo’s top markets and have currently discovered a few priorities such as Location, Value for Money and Cuisine
 [[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18_T1_Group1%3A_Project_Management<font color="Blue">Read about our Project Scope and Work Plan! </font>]]