Difference between revisions of "ISSS608 2017-18 T3 Assign Li Hongxin Methodology"
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<i>Packages: os, glob, pandas, numpy, matplotlib, seaborn, librosa, sklearn</i> | <i>Packages: os, glob, pandas, numpy, matplotlib, seaborn, librosa, sklearn</i> | ||
| − | ==Process for Data | + | ==Process for Data Preparation== |
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| + | The following are key steps for data cleaning, and data manipulation for further visualization and analysis. | ||
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| + | <b>Step 1: </b> Fix data quality issues | ||
Revision as of 20:02, 6 July 2018
VAST Mini Challenge 1: "Cheep" Shots?
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Tools
a. R: used for data cleaning.
Packages: tidyverse
b. Tableau: used for Map & Pattern visualization.
c. Python: used for Density visualization, audio visualization and audio classification.
Packages: os, glob, pandas, numpy, matplotlib, seaborn, librosa, sklearn
Process for Data Preparation
The following are key steps for data cleaning, and data manipulation for further visualization and analysis.
Step 1: Fix data quality issues
