Look Who it Was Random video

Hannah Aizenman - Get To Know Your Data

337 views · Published 9 December 2014 · 22:40 · Indexed 12 November 2026

Channel: PyData · 2014 · Science & Technology

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http://www.slideshare.net/PyData/hannah-aizenman-get-to-know-your-data

PyDaya NYC 2014
A recent article in the New York Times estimates that data scientists spend somewhere between %50 and %80 of their time "collecting and preparing unruly digital data" before they ever get to the analysis. Data is often badly labeled, inconsistently sampled, incorrect in strange places, missing, and otherwise contains a whole host of errors, leading to the "garbage in, garbage out" problem. While detecting the myriad ways in which the data is broken can sometimes be difficult, traditional visualization techniques, exploratory data analytics, and cluster analysis can help. This talk will discuss some of the typical methods for sanity checking small data sets: visualization, simple statistics, and some basic combinations of the two. This talk will then veer into some machine learning techniques for exploring the underlying structure of larger data sets to verify the occurrence of known patterns and to detect outliers that could be due to errors rather than the occurance of something interesting. 00:00 Welcome!
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