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R
What is “Tidy Data”?

What is “Tidy Data”?

RTools & LanguagesRtidy datatutorialsposted by John Mount November 8, 2019

I would like to write a bit on the meaning and history of the phrase “tidy data.” Hadley Wickham has been promoting the term “tidy data.” For example in an eponymous paper, he wrote: In tidy... Read more
135 Nights of Sleep with Data, Anomaly Detection, and Time Series

135 Nights of Sleep with Data, Anomaly Detection, and Time Series

ModelingPythonRStatisticsTools & Languagesanomaly detectionTime Seriesposted by Juan De Dios Santos November 4, 2019

In this article, I look at data from 135 nights of sleep and use anomaly detection and time series data to understand the results. Three things are certain in life: death, taxes, and sleeping. Here, we’ll talk about the latest. Every night*, us humans, after a... Read more
Using an Embedding Matrix on Tabular Data in R

Using an Embedding Matrix on Tabular Data in R

ModelingRTools & Languagesembedding matrixTensorFlowposted by Jacey Heuer October 22, 2019

How would you tackle the prospects of representing a categorical feature, with 100’s of levels, in a model? A first approach may be to create a one-hot encoded matrix representing each level of the feature. The result would be a large and sparse matrix where the... Read more
ODSC West 2019 Talks and Workshops to Expand and Apply R Skills

ODSC West 2019 Talks and Workshops to Expand and Apply R Skills

ConferencesRTools & LanguagesWest 2019posted by ODSC Team October 22, 2019

At this point, most of us know the basics of using and deploying R—maybe you took a class on it, maybe you participated in a hackathon. That’s all important (and we have tracks for getting started with Python if you’re not there yet), but once you... Read more
R-Related Talks Coming to ODSC West 2019

R-Related Talks Coming to ODSC West 2019

ConferencesRTools & LanguagesWest 2019posted by ODSC Team October 21, 2019

R is one of the most commonly-used languages within data science, and its applications are always expanding. From the traditional use of data or predictive analysis, all the way to machine or deep learning, the uses of R will continue to grow and we’ll have to... Read more
R User Community Worldwide: A Data-Driven Exploration

R User Community Worldwide: A Data-Driven Exploration

ModelingRTools & LanguagesRr ladiesr user communityworldwide r usersposted by R Central September 26, 2019

This posting discusses the worldwide R user community. R is a programming language and environment for statistical computing and data visualization. An important component of the R ecosystem is its powerful user community, which has continued to expand around the world over the years. In a... Read more
Timing the Same Algorithm in R, Python, and C++

Timing the Same Algorithm in R, Python, and C++

PythonRTools & LanguagesC++PythonRposted by John Mount September 23, 2019

While developing the RcppDynProg R package I took a little extra time to port the core algorithm from C++ to both R and Python. This means I can time the exact same algorithm implemented nearly identically in each of these three languages. So I can extract some comparative “apples to apples” timings. Please read... Read more
Where is Data Science Heading? Watching R’s Most Popular Packages May Have the Answer

Where is Data Science Heading? Watching R’s Most Popular Packages May Have the Answer

Featured PostRTools & LanguagesRr's popular packagesposted by Daniel Gutierrez, ODSC September 9, 2019

Working as both a journalist and data scientist, I’m in a unique position to report on new tools of the profession as well as use them. I’m always seeking out trends surrounding the arrival of said tools because I feel they speak closely to the evolution... Read more
Validating Type I and II Errors in A/B Tests in R

Validating Type I and II Errors in A/B Tests in R

RTools & Languagesab testingRposted by John Mount September 5, 2019

In our previous article, we showed that generalized linear models are unbiased, or calibrated: they preserve the conditional expectations and rollups of the training data. A calibrated model is important in many applications, particularly when financial data is involved. However, when making predictions... Read more
Query Generation in R

Query Generation in R

RTools & Languagesquery generationRposted by John Mount August 30, 2019

R users have been enjoying the benefits of SQL query generators for quite some time, most notably using the dbplyr package. I would like to talk about some features of our own rquery query generator, concentrating on derived result re-use. Introduction SQL represents value use by... Read more
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