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Deploying End-To-End Data Science with Shiny, Plumber, and Pins
It’s easier than ever to craft a complete R-centric data science pipeline thanks to packages like Shiny, Plumber, and Pins.
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Embracing R in the Geospatial Community
Geospatial analysts work in a wide range of positions within almost every industry. A typical day may include data prep/cleaning, field work, cartography, image analysis, vector analysis..
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FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse to enable fast, reproducible, elegant analyses of electronic health records.
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Flipbooks
Good examples facilitate accomplishing new or unpracticed tasks in a programmatic workflow. Tools for communicating examples have improved in recent years.
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Future: Simple Async, Parallel & Distributed Processing in R - What's Next?
Future is a minimal and unifying framework for asynchronous, parallel, and distributed computing in R.
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Getting things logged
One of the greatest strength of R is the ease and speed of developing a prototype (let it be a report or dashboard, a statistical model or rule-based automation to solve a business problem...
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Growth Hacking with R - Product Analytics at Scale using R and RStudio
Salesforce is not only a cloud software solution out of the box, but also a highly customizable platform that can be modified for a wide range of use cases.
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How to win an AI Hackathon, without using AI
Once “big data” is thrown into the mix, the AI solution is all but certain. But is AI always needed?