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twiecki.io | ||
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tomaugspurger.net
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| | | | | This is part 5 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Reshaping & Tidy Data Structuring datasets to facilitate analysis (Wickham 2014) So, you've sat down to analyze a new dataset. What do you do first? In episode 11 of Not So Standard Deviations, Hilary and Roger discussed their typical approaches. I'm with Hilary on this one, you should make sure your data is tidy. Before you do any plots, filtering, transformations, summary statistics, regressions... Without a tidy dataset, you'll be fighting your tools to get the result you need. With a tidy dataset, it's relatively easy to do all of those. | |
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isaacslavitt.com
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austinrochford.com
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| | | | | For my day job, I spend a lot of time thinking about e-commerce analytics and cohort analysis in particular. Statistical age-period-cohort (APC) models are important in many fields such as epidemiolo | |
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austinrochford.com
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| | | For some time I have been interested in better understanding the horseshoe prior1 by implementing it in PyMC3. The horsehoe prior is a continuous alternative to the spike-and-slab prior for sparse Bay | ||
