Ehlers’s Autocorrelation Periodogram
This post will introduce John Ehlers’s Autocorrelation Periodogram mechanism–a mechanism designed to dynamically find a lookback period. That is, the … Continue reading →
February 2017
Creating a Mailing List in QGIS and R
My day job as a real estate agent requires a myriad of skills, ranging from accounting to negotiation to business analysis. Frequently (about every three months) I whip out my marketing skills to advertise my business. This time I decided to send out postcards to an entire neighborhood in which ...
Some Notes on the Cauchy Distribution
by Joseph Rickert I have always been attracted to the capricious. So, it was no surprise that I fell for the Cauchy distribution at first sight. I had never seen such unpredictability! You might say that every distribution has its moments of unpredictability, but the great charm of Cauchy is ...
Multilabel classification with neuralnet package
Some time ago I wrote an article on how to use a simple neural network in R with the neuralnet package to tackle a regression task.
A few weeks ago, however, I was asked how to use the neuralnet package for making a multilabel classifier. I wrote a quick script ...
Three R Shiny tricks to make your Shiny app shines (1/3)
In this tutorials serie, we are going to see three tricks to do the following in a Shiny app: Add Next and Previous buttons to navigate in a tabBox Build a non completely collapsible sidebar to keep the icon visible on collapse Add button on a datatable output to delete/... [Read more...]
Calculating required sample size in R and SAS
Today we are going to digress from our ongoing “Intro to R” series, and talk about a subject that’s been on my mind lately: sample sizes. An important question when designing an experiment is “How big a sample do I […] [Read more...]
100 grams of Lego, please.
Everyone who has children or deep down still is one himself might had the pleasure to find himself in a toy store's Lego counter once. Since it is my son's favourite father-son-activity to build Lego stuff I did so several times in the last year. Now as I stood in ...
Tired of doing real math 2 — grad school and coffee consumption
Lately I notice a sharp increase in my coffee consumption (reading Howard Schultz’s Starbucks book, which is actually quite good by the way, does not help either :grimacing:). Having recently transitioned into a new PhD program I started wondering whether my increased coffee consumption has something to do with ...
Tired of doing real math 2 — grad school and coffee consumption
Lately I notice a sharp increase in my coffee consumption (reading Howard Schultz’s Starbucks book, which is actually quite good by the way, does not help either :grimacing:). Having recently transitioned into a new PhD program I started wondering wh... [Read more...]
R formulas in Spark and un-nesting data in SparklyR: Nice and handy!
Intro In an earlier post I talked about Spark and sparklyR and did some experiments. At my work here at RTL Nederland we have a Spark cluster on Amazon EMR to do some serious heavy lifting on click and video-on-demand … Continue reading →
R for Beginners: Creating a Twitter App for Scraping Data
Creating an app is one of the most important steps in scraping data using R packages like twitteR. You need the following key information to create the connection to Twitter API using R. Consumer key Consumer secret Access token Access token… Continue Reading →
The post R for Beginners: Creating a ... [Read more...]
The Tile Grid Map for Canada
I love the tile grid map:
Source
I think they’re elegant, easy to read, and great for data that are population agnostic.
I live in Canada, though. And it sucks (well, no it doesn’t!) because I’ve only ever seen tile grids for America.
I dec... [Read more...]
From Descriptive to Prescriptive Analytics
Predominately data science projects deal with descriptive statistics. The common theme (especially on this blog) is to gather a dataset, visualize and describe it. The toolset consists of a combination of machine learning, descriptive statistics and (... [Read more...]
Galaxy classification with deep learning and SQL Server R Services
One of the major "wow!" moments in the keynote where SQL Server 2016 was first introduced was a demo that automated the process classifying images of galaxies in a huge database of astronomical images. The SQL Server Blog has since published a step-by-step tutorial on implementing the galaxy classifier in SQL ... [Read more...]
Spelunking XHRs (XMLHttpRequests) with splashr
splashr has gained some new functionality since the introductory post. First, there’s a whole new Docker image for it that embeds a local web server. Why? The main request for it was to enable rendering of htmlwidgets: But if you use the new Docker image and the add_tempdir=...
Inswinger: yorkr swings into International T20s
In this post I introduce ‘Inswinger’ an interactive Shiny app to analyze International T20 players, matches and teams. This app was a natural consequence to my earlier Shiny app ‘GooglyPlus’. Most of the structure for this app remained the same, I only had to work with a different dataset, so ...
MOOC on Exploratory Multivariate Data Analysis – enroll now
Exploratory multivariate data analysis is studied and teached in a French-way since a long time in France. You can enroll in a MOOC (completely free) on Exploratory Multivariate Data Analysis. The MOOC will start the 27th of February. This MOOC focuses on 4 essential and basic methods, those with the largest ...
Geom❤️
Presented without exposition (since it’s a silly Geom) This particular ❤️ math pilfered this morning from @dmarcelinobr:
One thing critical for success in the age of AI (and who has it)
Data science, artificial intelligence, automation, and other advanced technologies are reshaping the world.
As the world changes who's likely to succeed?
The post One thing critical for success in the age of AI (and who has it) appeared first on SHARP SIGHT LABS. [Read more...]
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