R bloggers

A beginner’s guide to Shiny modules

October 19, 2021 | R Views

This post by Emily Riederer is the winning entry in our recent Call for Documentation contest. Emily is a Senior Analytics Manager at Capital One where she leads a team building internal analytical tools including R packages, datamarts, and Shiny apps. Outside of work, Emily can be found sharing more ...
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Git: Moving from Master to Main

October 19, 2021 | The Jumping Rivers Blog

In June 2020, GitHub announced that is was moving the default branch name from master to the more neutral name, main. GitLab followed suit in a few months later. Tobie Langel makes the salient point on why changing the name is a good thing: So master is not only racist, it’...
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Using Data Science in Pharma – Top 10 Real-World Examples

October 19, 2021 | Dario Radečić

Data science is advancing into nearly every industry from pharma and banking to sales and logistics. And why not — when data science is properly integrated it results in a performance boost, faster implementation, or process automation (read: money, money, money). The pharmaceutical and medical industries are no exception. Every top ...
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Convert Categorical Variable to Numeric in R

October 19, 2021 | finnstats

Convert Categorical Variable to Numeric in R, In this tutorial, you’ll learn how to convert categorical values into quantitative values to make statistical modeling easier. Most statistical models can’t take in strings as inputs.... The post Convert Categorical Variable to Numeric in R appeared first on finnstats.
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HCRIS Field Labels

October 18, 2021 | R - datawookie

Fathom Data has been doing a lot of work with the HCRIS (Healthcare Cost Report Information System) data. The underlying reports are submitted as a spreadsheet with multiple sheets. The data are then extracted and recorded in a simple tabular format, with each field linked to a worksheet code (wksht_...
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How to do Binning in R?

October 18, 2021 | finnstats »

Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is a pre-processing proce...
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RvsPython #6: LinkedIn has spoken!

October 17, 2021 | Benjamin Smith

Introduction Over the past while with my time on LinkedIn, I got to have exposure to many people from many different lines of work. I also managed to have carved a space for myself there where I can post about Data Science topics and share my blogs along the way. ...
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{emayili} Message Threads

October 17, 2021 | R - datawookie

Being able to view related messages as threads is really useful. To make this possible, messages must use either the In-Reply-To or References header field to link to the Message-ID from another message. This is now possible in {emayili}. library(emayili) options(envelope.details = TRUE) options(envelope.invisible = FALSE) packageVersion("...
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