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 zevross.com
A new data processing workflow for R: dplyr, magrittr, tidyr, ggplot2 | Technical Tidbits From Spatial Analysis & Data Science
| | r4ds.hadley.nz
3 Data transformation - R for Data Science (2e)
12.9 parsecs away

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| | jcarroll.com.au
Counting Digits Quickly -
22.0 parsecs away

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| | When things run slower than we'd like in R we tend to reach for another, usually compiled, language, and move our code there. What if it "just happened"? What started out as a silly exploration of how to count digits ended up with a race to see which language does it fastest. Maybe some surprises here for some, maybe some bad implementations on my part - let's find out.
| | www.pipinghotdata.com
PIPING HOT DATA: Leveraging labelled data in R
20.2 parsecs away

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| | Embracing SPSS, SAS, and Stata data sets with the haven, labelled, and sjlabelled packages
| | kishstats.com
Intro to Using Python Type Hints
82.7 parsecs away

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| Type hinting was added to the Python standard library starting in version 3.5. Python, being a dynamically typed language, does not enforce data types. Howev...