Difference between revisions of "ISSS608 2017-18 T3 Assign Lu Yanzhang Data Preparation Methodology"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 46: Line 46:
  
 
==Join operation among diverse tables in JMP==
 
==Join operation among diverse tables in JMP==
1. To process the audio files, following R packages are loaded in this assignment: soundgen, tuneR, seewave
 

Revision as of 14:20, 10 July 2018

MC3 2018.jpg

VAST Challenge 2018 MC3:
Who hurts the brid?

INTRODUCTION

DATA PREPARATION & METHODOLOGY

OBSERVATION AND INSIGHTS

Back to Dropbox

 


Tools

The following tools have been used in this assignment

1. Python - Timestamp transformation and new data source generation.

The following packages are used in this assignment: pandas, numpy, glob, datetime.

2. JMP Pro - Data preparation

3. Tableau - Visualization

4. Gephi - Social network modeling and visualization

Timestamp Transformation in Python

The raw timestamp format is the second record from '2015-05-11 14:00:00'.

For further use of timestamp data, the format needs to be transformed to YYYY/MM//DD rather than raw second format.

Join operation among diverse tables in JMP