February 2019

Organizing R Research Projects: CPAT, A Case Study

February 4, 2019 | ntguardian

Introduction Months ago, I asked a question to the community: how should I organize my R research projects? After writing that post, doing some reading, then putting a plan in practice, I now have my own answer. First, some background. In the early months of 2016 I began a research project ... [Read more...]

Dashboard for Sales Trends in Retail

February 3, 2019 | Radha Murali Vundavalli

Overview Retail is probably the most talked about industry when it comes to disruption these days. Empty malls are a common blog topic and unusually high number of bankruptcies span across all subsectors. Some of the familiar names that filed for bankruptcy in the last few years span from well ...
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Sobol Sequence vs. Uniform Random in Hyper-Parameter Optimization

February 3, 2019 | statcompute

Tuning hyper-parameters might be the most tedious yet crucial in various machine learning algorithms, such as neural networks, svm, or boosting. The configuration of hyper-parameters not only impacts the computational efficiency of a learning algorithm but also determines its prediction accuracy. Thus far, manual tuning and grid searching are still ...
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The Face of (Dis)Agreement – Intraclass Correlations

February 3, 2019 | R on Will Hipson

I was recently introduced to Google Dataset Search, an extension that searches for open access datasets. There I stumbled upon this dataset on childrens’ and adult’s ratings of facial expressions. The data comes from a published article by Vesker et al. (2018). Briefly, this study involved having adults and 9-year-old ...
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A little trick for debugging Shiny

February 3, 2019 | Colin Fay

This is gonna be a short post about a little trick I’ve been using while developing Shiny Apps. (Spoiler: nothing revolutionary) A browser anywhere, anytime The first thing to do is to insert an action button, and a browser() in the observeEvent() watching this button. This is a standard ...
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Send UDP Probes (with payloads) and Receive/Process Responses in R

February 3, 2019 | hrbrmstr

We worked pretty hard over at $DAYJOB on helping to quantify and remediate a fairly significant configuration weakness in Ubiquiti network work gear attached to the internet. Ubiquiti network gear — routers, switches, wireless access points, etc. — are enterprise grade components and are a joy to work with. Our home network ...
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Function Objects and Pipelines in R

February 3, 2019 | John Mount

Composing functions and sequencing operations are core programming concepts. Some notable realizations of sequencing or pipelining operations include: Unix’s |-pipe CMS Pipelines. F#‘s forward pipe operator |__. Haskel’s Data.Function & operator. The R magrittr forward pipe. Scikit-learn‘s sklearn.pipeline.Pipeline. The idea is: many important calculations can ... [Read more...]

Retail Data Visualization with R and Shiny

February 3, 2019 | Qifan Wang

Introduction Because of my marketing background, finding information hiding wihtin a marketing dataset is always an interesting topic to me. It makes me feel a sense of accomplishment when I cleaned up a very messy large dataset, and finally discover some insights from it. Therefore, I've decided to practice my ...
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R Package Update: urlscan

February 3, 2019 | hrbrmstr

The urlscan???? package (an interface to the urlscan.io API) is now at version 0.2.0 and supports urlscan.io’s authentication requirement when submitting a link for analysis. The service is handy if you want to learn about the details — all the gory technical details — for a website. For instance, say ...
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Riddler 1st February 2019

February 2, 2019 | rstats on Robert Hickman

Riddler Classic In my spare time I enjoy solving 538’s The Riddler column. This week I had a spare few hours waiting for the Superbowl to start and decided to code up a solution to the latest problem to keep me busy. The question revolves around a card game in ... [Read more...]
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