Difference between revisions of "ANLY482 AY2017-18T2 Group03 Data Analysis"

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==<div style="border-style: solid; border-width:0; background: #149de7; padding: 7px; font-weight: bold; text-align:left; line-height: wrap_content; text-indent: 20px; font-size:20px; font-family:Trebuchet MS;border-bottom:5px solid white; border-top:5px solid black"><font color= #FFFFFF>Methodology</font></div>==
 
==<div style="border-style: solid; border-width:0; background: #149de7; padding: 7px; font-weight: bold; text-align:left; line-height: wrap_content; text-indent: 20px; font-size:20px; font-family:Trebuchet MS;border-bottom:5px solid white; border-top:5px solid black"><font color= #FFFFFF>Methodology</font></div>==
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In this section, we will explain the methodology which our team plan to implement to perform analysis on the data provided by our sponsor.
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We will be using JMP Software and Microsoft Excel for Exploratory Data Analysis (EDA) to better understand the dataset given and its characteristics. As part of data preprocessing, our team will be performing the following steps to obtain a clean dataset. These steps will eventually be converted into a script which will be used to clean the data file that is uploaded into the dashboard which we will develop for our sponsor.
  
 
==<div style=" background: #e2f5ff; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #149de7 solid 32px;"><font color="#149de7"><strong>Data Preprocessing</strong></font></div>==
 
==<div style=" background: #e2f5ff; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #149de7 solid 32px;"><font color="#149de7"><strong>Data Preprocessing</strong></font></div>==
  
 
==<div style=" background: #e2f5ff; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #149de7 solid 32px;"><font color="#149de7"><strong>Visualizations</strong></font></div>==
 
==<div style=" background: #e2f5ff; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #149de7 solid 32px;"><font color="#149de7"><strong>Visualizations</strong></font></div>==

Revision as of 18:43, 11 February 2018

AY2017-18T2 Group03 Team Logo.png


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Methodology

In this section, we will explain the methodology which our team plan to implement to perform analysis on the data provided by our sponsor.

We will be using JMP Software and Microsoft Excel for Exploratory Data Analysis (EDA) to better understand the dataset given and its characteristics. As part of data preprocessing, our team will be performing the following steps to obtain a clean dataset. These steps will eventually be converted into a script which will be used to clean the data file that is uploaded into the dashboard which we will develop for our sponsor.

Data Preprocessing

Visualizations