March 2019

Getting Help in R

March 4, 2019 | Rsquared Academy Blog

Introduction In this post, we will learn about the different methods of getting help in R. Often, we get stuck while doing some analysis as either we do not know the correct function to use or its syntax. It is important for anyone who is new to R to know ...
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Building Big Shiny Apps — A Workflow 2/2

March 4, 2019 | Colin Fay

Second part of the blog transcription of the talk I’ve given during the eposter session of the rstudio::conf(2019). Read the first part here. Building Big Shiny Apps: step by step Step 1: Designing Don’t rush into coding. I know you want to, because it’s what we like ...
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The fastest cyclists of Europe live in …

March 4, 2019 | Sebastian Wolf

Analyzing STRAVA data to find out which city has the faster cyclists with R and R-shiny. My contribution to the shiny contest. STRAVA is one of the most popular fitness tracking apps. It not only allows users to track their own activities but also following professionals. STRAVA made running and ...
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Using parameters in Rmarkdown

March 4, 2019 | nsaunders

Nothing new or original here, just something that I learned about quite recently that may be useful for others. One of my more “popular” code repositories, judging by Twitter, is – well, Twitter. It mostly contains Rmarkdown reports which summarise meetings and conferences by analysing usage of their associated Twitter hashtags. ... [Read more...]

Polished human cognitive characteristics chapter

March 3, 2019 | Derek Jones

It has been just over two years since I release the first draft of the Human cognitive characteristics chapter of my evidence-based software engineering book. As new material was discovered, it got added where it seemed to belong (at the time), no effort was invested in maintaining any degree of ... [Read more...]

Web Scraping Amazon Reviews (March 2019)

March 3, 2019 | Riki Saito

Introduction Web Scraping is one of the most common (and sometimes tedious) data collection tasks nowadays in Data Science. It is an essential step in gather data – especially text data – in order to perform various Natural Language Processing tasks, such as Sentiment Analysis, Topic Modeling, and Word Embedding. In this ...
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CRAN Mirror “Security”

March 3, 2019 | hrbrmstr

In the “Changes on CRAN” section of the latest version of the The R Journal (Vol. 10/2, December 2018) had this short blurb entitled “CRAN mirror security”: Currently, there are 100 official CRAN mirrors, 68 of which provide both secure downloads via ‘https’ and use secure mirroring from the CRAN master (via rsync through ...
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Developing Data Products

March 3, 2019 | John

I had to develop an RStudio shiny application as a part of final project in the Developing Data Products course in the Coursera Data Science Specialization track. The Shiny application calculates your maximum Heart Rate and the target Heart Rate zones for the chosen age. It includes: Its build with ... [Read more...]

Color palettes inspired by Islamic art

March 2, 2019 | R on From System to System

This post is about my new R package IslamicArt, which provides color palettes inspired by Islamic art. Disclaimer: While I accept the Islamic theology, ethnically speaking, I’m not from the Middle East, North Africa, Central Asia, South Asia, or Southeast Asia. However, I do deeply appreciate art and philosophy ...
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