Difference between revisions of "Jarvis Methodology"

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[[JAR v.IS About us| <font color="#f1cf0e" size=2 face="Century Gothic"><b>ABOUT US</b></font>]]
 
 
 
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[[JAR v.IS Project Proposal| <font color="#b1260e" size=2 face="Century Gothic"><b>PROJECT PROPOSAL</b></font>]]
 
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[[JAR v.IS Project Findings| <font color="#f1cf0e" size=2 face="Century Gothic"><b>PROJECT FINDINGS</b></font>]]
 
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[[JAR v.IS Documentation| <font color="#f1cf0e" size=2 face="Century Gothic"><b>DOCUMENTATION</b></font>]]
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Revision as of 10:40, 17 January 2017

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Jarvis.png

HOME

 

PROJECT PROPOSAL

 

PROJECT FINDINGS

 

PROJECT MANAGEMENT

 

DOCUMENTATION

 

ABOUT US

Background Data Methodology
Methodology

We have conducted our Exploratory Data Analysis with the process outlined below:

  • At the page level
    • Growth of page likes by country + geographical map
    • Data visualization of Facebook insights data by geography, date and gender

  • At the post level
    • Word cloud
    • Topic cluster analysis - to verify how well the current categories match the content
    • ANOVA test to test significance of mean likes on posts of the type links vs video

  • At the video level
    • Video duration
    • Video views

Based on the first iteration EDA, we have concluded to focus our further analysis on video data and posts with a focus on video data.