Difference between revisions of "ISSS608 2017-18 T3 Assign LUO Haoran Data Preparation"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 28: Line 28:
  
  
==<div style="background: #ffffff; padding: 17px; line-height: 0.1em;  text-indent: 10px; font-size:17px; font-family: Helvetica;  border-left:8px solid #0091b3"><font color= #000000><strong>Data Aggregationk</strong></font></div>==
+
==<div style="background: #ffffff; padding: 17px; line-height: 0.1em;  text-indent: 10px; font-size:17px; font-family: Helvetica;  border-left:8px solid #0091b3"><font color= #000000><strong>Data Aggregation</strong></font></div>==
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left">
 
<center>
 
<center>

Revision as of 22:04, 7 July 2018

MC3 2018.jpg

VAST Challenge 2018 MC3:
Catch the Unsub – Who hurts Eurasian Pipit?

Overview

Data Preparation

Methodology

Insights


Raw Data Overview


Data Aggregation

Method (Python) Result

Add Column Namecolumn name

  • Added column name for each of 9 data table.
  • Corresponding Column Name: Source, Etype, Target, TimeStamp


Convert TimeInterval to TimeStamp
300px
  • Change TimeInterval in raw data into TimeStamp in format of dd/mm/yyyy hh:mm:ss.
  • Initial time is 11/05/2015 14:00:00.
Save New Data Tables
300px
  • Save new data tables with TimeStamp into the path.