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tomaugspurger.net | ||
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janakiev.com
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| | | | | One of the crucial tasks when working with data is to load data properly. The common way the data is formated is CSV, which comes in different flavors and varying difficulties to parse. This article shows three common approaches in Python. | |
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nikgrozev.com
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| | | | | This article overviews how to quickly set up and get started with the pandas data analysis library. It also lists common code snippets for parsing, loading, ... | |
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sharpsight.ai
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| | | | | This tutorial will show you how to perform a Python data analysis with covid-19 data. It explains almost 200 lines of analysis code, step by step. | |
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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. | ||
