Difference between revisions of "ANLY482 AY2016-17 T2 Group10 Project Overview: Methodology"
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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> | + | ==<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>Tools Used</strong></font></div>== |
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− | + | SAS JMP Pro 13 is chosen as our primary tool for data preparation, exploratory and further analysis. It is an analytical software that can perform most statistical analysis on large datasets and generate results with interactive visualizations used by data scientists to manipulate data selection on the go. Furthermore, tutorials and guides are widely available online for us to learn JMP Pro 13’s different techniques and functions. More importantly, its easy-to-use built-in tools enable us to conduct analysis of variance to determine relationship between interactions and sales revenue. | |
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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> | + | ==<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 Preparation</strong></font></div>== |
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+ | Data preparation took us through time-consuming and tedious procedures to obtain high quality data. Though seemingly unrewarding, a set of high quality data allows for more accurate, reliable and consistent analysis of results. Therefore, it is imperative to invest a lot of time and effort on it to avoid getting false conclusions for our hypothesis. | ||
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Revision as of 11:13, 15 April 2017
Tools Used
SAS JMP Pro 13 is chosen as our primary tool for data preparation, exploratory and further analysis. It is an analytical software that can perform most statistical analysis on large datasets and generate results with interactive visualizations used by data scientists to manipulate data selection on the go. Furthermore, tutorials and guides are widely available online for us to learn JMP Pro 13’s different techniques and functions. More importantly, its easy-to-use built-in tools enable us to conduct analysis of variance to determine relationship between interactions and sales revenue.
Data Preparation
Data preparation took us through time-consuming and tedious procedures to obtain high quality data. Though seemingly unrewarding, a set of high quality data allows for more accurate, reliable and consistent analysis of results. Therefore, it is imperative to invest a lot of time and effort on it to avoid getting false conclusions for our hypothesis.
MCCP