If you ever need to work with data involving dates, times or durations in R, then take a look at this free course on LinkedIn Learning presented by Mark Niemann-Ross: R Programming in Data Science: Dates and Times. Here's the course overview from the introductory video: When did Mount St Helens last erupt? How many birds migrated south this...
Welcome to the 2019 Fantasy Football Season! Week 4 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 4 (2019) appeared first on Fantasy Football Analytics.
Interviews are difficult for most people. You don't want to mess up during it, but you always think of a better response after-the-fact. Here are 101 data science interview questions with responses and suggestions from large tech companies like Amazon, Google, and Microsoft.
When studying regression models, One of the first diagnostic plots most students learn is to plot residuals versus the model’s predictions (that is, with the predictions on the x-axis). Here’s a basic example. # build an "ideal" linear process. set.seed(34524) N = 100 x1 = runif(N) x2 = runif(N) noise = 0.25*rnorm(N) y = x1 … Continue reading Why...
I helped run a conference last week. As part of this I produced a wordcloud from the conference abstracts, although pretty it could have been more informative of the conference content. This blog post shows you how to make a network of conference bi-grams.
Watson Studio - An easy and free hosted data science platform for R, Python and a wide range of AI, BI and ETL style activities.
This summer I was asked to collaborate on an analysis project with many response variables. As usual, I planned on automating my initial graphical data exploration through the use of functions and purrr::map() as I’ve written about previously. However, this particular project was a follow-up to a previous analysis. In the original analysis, different variables were analyzed on different scales....
Image processing is one of the core focus areas of rOpenSci. Over the last few months we have released several major upgrades to core packages in our imaging suite, including magick, tesseract, and av. This post highlights a few cool new features. Magick 2.2 The magick package is one of the most powerful packages for image processing in R. It interfaces...
There are some important benefits to applying early. Here are just a few reasons why you might want to reconsider procrastinating on your application.
The Voynich Manuscript While the world abounds with strange phenomena ripe for analysis in their raw state, there is a peculiar pleasure in scrutinising arcane information curated and obscured by the human mind. The Voynich Manuscript is one of the most well-known and studied volumes of occult knowledge. The book’s...
Real world data can present a number of challenges to data science workflows. Even properly structured data (each interesting measurement already landed in distinct columns), can present problems, such as missing values and high cardinality categorical variables. In this note we describe some great tools for working with such data. For an example: consider the … Continue reading How...
These days, most people are familiar with the concept of A/B testing. This is one of the most common ways to make advertising decisions, particularly in online marketing. In an A/B test, the customer base is divided into two or more groups, each of which is...
When Marlion Pickett runs onto the M.C.G for Richmond in the AFL Grand Final this Saturday, he’ll be only the sixth player in 124 finals to debut on the big day. The sole purpose of this blog post is to illustrate how incredibly easy it is to figure this out, thanks to the dplyr and … Continue reading Debuting...
Spatial networks in R with sf and tidygraph Lucas van der Meer, Robin Lovelace & Lorena Abad September 26, 2019 Introduction Street networks, shipping routes, telecommunication lines, river bassins. All examples of spatial networks: organized sys...
Two hundred and twenty-seven new packages made it to CRAN in August. Quite a few were devoted to medical or genomic applications, and this is reflected in my “Top 40” selections, listed below in nine categories: Computational Methods, Data, Genomics, Machine Learning, Medicine and Pharma, Statistics, Time Series, Utilities, and Visualization. Computational Methods fmcmc v0.2-0: Provides a flexible Markov Chain Monte...
We are using multiple imputation more frequently to “fill in” missing data in clinical datasets. Multiple datasets are created, models run, and results pooled so conclusions can be drawn. We’ve put some improvements into Finalfit on GitHub to make it easier to use with the mice package. These will go to CRAN soon but not … Continue reading "Multiple...
We hope you enjoyed EARL London as much as we did! We’re just putting the finishing touches on our highlights recap, but until then you can view the presentations we have available here, and all the photos here. We’re so proud of the incredible speakers at this year’s EARL Conference – from tackling human trafficking, to benefitting the NHS,...
What does a modern analytics platform need to offer companies real added value? Contradiction and connection at the same time: Information content vs. simple presentation A meaningful result or the answer to important questions is not everything. Making data and results comprehensible is just as important for companies as target-oriented analysis1. The more complex a
This blog post looks at how we can improve predictive accuracy by combining forecasts from different models. Der Beitrag Time series forecasting with random forest erschien zuerst auf STATWORX.
My ambitious goal is to write a machine learning algorithm that predicts authors. But let’s start with something simpler. An important part in a Data Science workflow is data preparation. Clean it, reformat it and make it usable for further analysis. Figure 1: Photo by Patrick Tomasso on Unsplash I will work on a Poetry book called “New Poems” from D....
Nina Zumel has been polishing up new vtreat for Python documentation and tutorials. They are coming out so good that I find to be fair to the R community I must start to back-port this new documentation to vtreat for R. vtreat is a package for systematically preparing data for supervised machine learning tasks such … Continue reading Preparing...
Forget about Python being the prime data analysis platform: there are plenty of alternatives and R has been one of them. With CRAN, rOpenSci, Bioconductor (doi:10.1186/gb-2004-5-10-r80) the platform has three efforts where you can publish your R work. I think of them as scholarly journals: the peer review is strong with them. Anyways, over the years I did my...
R is one of the leading programming languages for data analysis. In November 2019 we bring our popular data science trainings to Frankfurt! Introduction to R | 12 – 13 November 2019 The course is intended as an introduction to R and its basic functionalities and facilitates the introduction to R with practical tips and
TL;DR Learn how to use the session argument as a global list for passing parameters between the modules in advanced Shiny apps to simplify the objects’ flow in code. Session can help you organize the app content and simplify the objects flow logic. It is faster than managing all of the dependencies between modules manually. Article Super Solutions for...
A new release of RcppAnnoy is now on CRAN. RcppAnnoy is the Rcpp-based R integration of the nifty Annoy library by Erik Bernhardsson. Annoy is a small and lightweight C++ template header library for very fast approximate nearest neighbours—origina...
In keeping with pending presentations for the Secure Iowa Conference and (ISC)2 Security Congress, I’m continuing the DFIR Redefined: Deeper Functionality for Investigators with R series (see Part 1 and Part 2). Incident responders and investigators, faced with an inundation of data and ever-evolving threat vectors, require skills enhancements and analytics optimization. DFIR Redefined is intended to explore such...
For a number of reasons I’ve been trying out GitLab as a replacement for for both GitHub and various continuous integration systems, and have been exploring configurations useful for model-fitting pipelines. I turned one of these into an example repository that shows how to use GitLab together with the Rocker Docker images and the drake build system to reproducibly run a project...
by Paula LC Do you want to know how to make elegant and simple reproducible presentations? In this talk, we are going to explain how to do presentations in different output formats using one of the easiest and most exhaustive statistical software, R. Now, it is possible create Beamer, PowerPoint, or HTML...
I came over the weekend across this graph and the associated news that the county of Saint-Nazaire, on the southern border of Brittany, had a significantly higher rate of cancers than the Loire countries. The complete study written by Solenne Delacour, Anne Cowppli-Bony, amd Florence Molinié, is quite cautious about the reasons for this higher
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