Data Mining course project - Million Songs Dataset exploration
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Updated
Sep 26, 2018 - Jupyter Notebook
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million-songs-dataset
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An R project that investigates whether different genres of songs have significantly different durations through the use of a one-way ANOVA test and post hoc significance tests conducted over an excerpt of a dataset consisting of 1 million popular songs compiled by The Echo Nest and a lab at Columbia University.
r
confidence-intervals
hypothesis-testing
anova
million-song-dataset
million-songs-dataset
columbia-university
pairwise-testing
hypothesis-tests
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Updated
Jan 6, 2020 - R
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Updated
Aug 28, 2017 - Jupyter Notebook
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