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2

Coindeskr 팩키지와 Shiny를 활용한 비트코인 가격 추적기 구축

인정합시다. 비트코인으로 전 세계가 미쳐 버렸습니다. Satoshi Nakamoto가 소개 한 최초의 암호화(double-spend 문제를 해결하는 최초의 디지털 화폐) 인 비트코인(BTC)은 잘 설립 된 회사 (심지어 몇몇 국가)보다 커졌습니다. 따라서 많은 비트코인 매니아와 투자자는 시장을 더 잘 읽고 그에 따라 움직일 수 있도록 일일 가격을 추적하려고합니다.   이 자습서는 R 사용자가 Coindeskr, Shiny 및 Dygraphs의 세 가지 […]

3

비지니스를 위한 R을 배우는 6 가지 이유

비즈니스를 위한 데이터 과학 (DS4B)은 비즈니스 분석의 미래이지만 아직 시작해야 할 부분을 파악하기가 어렵습니다. 마지막으로하고 싶은 일은 잘못된 도구로 시간을 낭비하는 것입니다. 시간을 효과적으로 활용하려면 (1) 작업에 적합한 도구 선택과 (2) 도구를 사용하여 비즈니스 가치를 반환하는 방법을 효율적으로 학습하는 두 가지가 있습니다. 이 기사에서는 첫 번째 부분에 초점을 맞추어 왜 R이 6 가지 점에서 올바른 […]

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Pipes in R Tutorial For Beginners (article) by DataCamp

Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider! You might have already seen or used the pipe operator when you’re working with packages such as dplyr, magrittr,… But do you know where pipes and the famous %>% operator come from, what […]

5

Five Tips to Improve Your R Code (article) by DataCamp

Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more! @drsimonj here with five simple tricks I find myself sharing all the time with fellow R users to improve their code! 1. More fun to sequence from 1 Next time you […]

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Introduction to Skewness · R Views

In previous posts here, here, and here, we spent quite a bit of time on portfolio volatility, using the standard deviation of returns as a proxy for volatility. Today we will begin to a two-part series on additional statistics that aid our understanding of return dispersion: skewness and kurtosis. Beyond being fancy words and required vocabulary for CFA […]

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networkD3: D3 JavaScript Network Graphs from R

 Dev-version: 0.4  About This started as a port of Christopher Gandrud’s R package d3Network for creating D3network graphs to the htmlwidgets framework. The htmlwidgets framework greatly simplifies the package’s syntax for exporting the graphs, improves integration with RStudio’s Viewer Pane, RMarkdown, and Shiny web apps. See below for examples. It currently supports the following types of network graphs: Force directed networks with simpleNetwork and forceNetwork Sankey diagrams with sankeyNetwork Radial networks with radialNetwork Dendro […]

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thomasp85/patchwork: The Composer of ggplots

patchwork     The goal of patchwork is to make it ridiculously simple to combine separate ggplots into the same graphic. As such it tries to solve the same problem as gridExtra::grid.arrange() but using an API that incites exploration and iteration. Installation You can install patchwork from github with: # install.packages(“devtools”) devtools::install_github(“thomasp85/patchwork”) Example The usage of patchwork is simple: just add plots […]

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rOpenSci | Magick 1.6: clipping, geometries, fonts, fuzz, and a bit of history

Magick 1.6: clipping, geometries, fonts, fuzz, and a bit of history   Jeroen Ooms   | DECEMBER 5, 2017 This week magick 1.6 appeared on CRAN. This release is a big all-round maintenance update with lots of tweaks and improvements across the package. The NEWS file gives an overview of changes in this version. In this post we highlight some changes. library(magick) […]

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Pipes in R Tutorial For Beginners (article) – DataCamp

Pipes in R Tutorial For Beginners Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider! ▲29 ▲29 You might have already seen or used the pipe operator when you’re working with packages such as dplyr, magrittr,… But do you know […]