ISSS608 2017-18 T3 Assign Wang Runyu Data Visualization

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Background

Data Preparation

Data Visualization

Conclusions

 


Q1

ph

Q2

Visual Analytical Approach

Remove Highly Correlated Features

As the text format outcome from seewave package(analyzeFolder function) contains 69 features, it is not practical for us to analyze all the features visually. In the first step, I use findCorrelation() function to eliminate highly correlated features. I set the pair-wise absolute correlation is 0.6.

Corr Plot
Corr plot q2 visual method.png
Trellis Plot for Variable Density
Density plot q2 visual method.png

Machine Learning Approach

Random Forest

Decision Tree