Ensemble learning for time series forecasting in R

October 18, 2017
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Ensemble learning for time series forecasting in R

Ensemble learning methods are widely used nowadays for its predictive performance improvement. Ensemble learning combines multiple predictions (forecasts) from one or multiple methods to overcome accuracy of simple prediction and to avoid possible over...

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Is it faster to take a bike or taxi in NYC?

October 18, 2017
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Is it faster to take a bike or taxi in NYC?

Taxis are plentiful and convenient in New York City, but the city is also served by a wide network of commuter bicycles (Citi Bikes). If you need to get from, say, the West Village to the Garment District, are you better off time-wise hailing a cab, or heading over to the nearest Citi Bike station? Data scientist Todd W....

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Writing Julia functions in R with examples

October 17, 2017
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Writing Julia functions in R with examples

By Gabriel Vasconcelos The Julia programming language is growing fast and its efficiency and speed is now well-known. Even-though I think R is the best language for Data Science, sometimes we just need more. Modelling is an important part of … Continue reading →

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Database Queries With R

October 17, 2017
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Database Queries With R

There are many ways to query data with R. This post shows you three of the most common ways: Using DBI Using dplyr syntax Using R Notebooks Background Several recent package improvements make it easier for you to use databases with R. The query examples below demonstrate some of the capabilities of these R packages. DBI. The DBI specification has gone through many recent improvements....

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splitting a field by annealing

October 17, 2017
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splitting a field by annealing

A recent riddle that I pondered about during a drive to Luxembourg last weekend was about splitting a square field into three lots of identical surface for a minimal length of separating wire… While this led me to conclude that the best solution was a T like separation, I ran a

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Bio7 2.6 for MacOSX Released

October 17, 2017
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Bio7 2.6 for MacOSX Released

19.10.2017 I released a new version of Bio7 for MacOSX. (Screenshots: Bio7 with Dark theme enabled. Scrollbars are set to “When scrolling” in the preferences.) For an overview of the new features please consult the release notes of Windows and Linux here: Installation: Download and extract the installation file from http://bio7.org. If you start Bio7

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Bio7 2.6 for Windows and Linux Released

October 17, 2017
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Bio7 2.6 for Windows and Linux Released

17.10.2017 A new version of Bio7 for Windows and Linux is available. The MacOSX version will be released soon, too. The application Bio7 is an integrated development environment for ecological modelling, scientific image analysis and statistical analysis. Beside many different tools it contains a complete Graphical User Interface for R. The application itself is based

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Astrostatistics school

October 17, 2017
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Astrostatistics school

What a wonderful week at the Astrostat summer school in Autrans! The setting was superb, on the high Vercors plateau overlooking both Grenoble and Valence , with the colours of the Fall at their brightest on the foliage of the forests rising on both sides of the valley and a perfect green on

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Data from Public Bicycle Hire Systems

October 17, 2017
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Data from Public Bicycle Hire Systems

A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps made the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle hire systems operate in many cities throughout the world,...

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An Analysis of NYC311 Noise Complaints

October 16, 2017
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An Analysis of NYC311 Noise Complaints

Introduction Launched in 2003, NYC311 is an information hub created by the New York City government that provides information on and access to over 3600 non-emergency

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An Analysis of NYC311 Noise Complaints

October 16, 2017
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An Analysis of NYC311 Noise Complaints

Introduction Launched in 2003, NYC311 is an information hub created by the New York City government that provides information on and access to over 3600 non-emergency The post An Analysis of NYC311 Noise Complaints appeared first on NYC Data Science Academy Blog.

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7 Interactive Bioinformatics Plots made in Python and R

October 16, 2017
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7 Interactive Bioinformatics Plots made in Python and R

Plotly serves a large bioinformatics and biostats research community. These users leverage the uniquely interactive features of plotly charts for dendrograms, heatmaps, volcano plots, and other visualizations common in this field. Here are 7 resources in Python and R created by plotly bioinformatics and biostats researchers. 1. Jupyter notebook: Visualizing bioinformatics data with plotly and python  

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How we built a Shiny App for 700 users?

October 16, 2017
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How we built a Shiny App for 700 users?

One of our senior data scientists, Olga Mierzwa-Sulima spoke at the userR! conference in Brussels to a packed house. The seats were full and there were audience members spilling out the doors. Source: https://twitter.com/matlabulous/status/882530484...

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Data from Public Bicycle Hire Systems

Data from Public Bicycle Hire Systems

A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps make the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle hire systems operate in many cities throughout the world,...

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From Power Calculations to P-Values: A/B Testing at Stack Overflow

October 16, 2017
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From Power Calculations to P-Values: A/B Testing at Stack Overflow

Note: cross-posted with the Stack Overflow blog. If you hang out on Meta Stack Overflow, you may have noticed news from time to time about A/B tests of various features here at Stack Overflow. We use A/B testing to compare a new version to a baseline f...

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How we built a Shiny App for 700 users?

October 16, 2017
By
How we built a Shiny App for 700 users?

One of our senior data scientists, Olga Mierzwa-Sulima spoke at the userR! conference in Brussels to a packed house. The seats were full and there were audience members spilling out the doors. Source: https://twitter.com/matlabulous/status/882530484...

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Data acquisition in R (1/4)

October 16, 2017
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Data acquisition in R (1/4)

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do not attempt to show all the data possibilities and...

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colourpicker package v1.0: You can now select semi-transparent colours in R (& more!)

October 16, 2017
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colourpicker package v1.0: You can now select semi-transparent colours in R (& more!)

For those who aren’t familiar with the colourpicker package, it provides a colour picker for R that can be used in Shiny, as well as other related tools. Today it’s leaving behind its 0.x days and moving on to version 1.0! colourpicker h...

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My interview with ROpenSci

October 16, 2017
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My interview with ROpenSci

The ROpenSci team has started publishing a new series of interviews with the goal of “demystifying the creative and development processes of R community members”. I had the great pleasure of being interviewed by Kelly O'Briant earlier this year, and the interview was published on Friday. Thanks for being a great interviewer, Kelly! I'm looking forward to hearing from...

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A Newbie’s Install of Keras & Tensorflow on Windows 10 with R

October 15, 2017
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A Newbie’s Install of Keras & Tensorflow on Windows 10 with R

This weekend, I decided it was time: I was going to update my Python environment and get Keras and Tensorflow installed so I could start doing tutorials (particularly for deep learning) using

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Markets Performance after Election

October 15, 2017
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Markets Performance after Election

Coming back to markets and trading (after a while), the feeling has been that the markets, and the economy as a whole, are doing good. How good? Since I haven’t been following things closely, I had to do some forensics. Friday was the 234th trading day after the election. There were claims at different points The post Markets Performance...

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Citibike Business Opportunity: Advertising

October 15, 2017
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Citibike Business Opportunity: Advertising

Introduction It is hard to wander around New York City without seeing rows of dozens of bright blue Citibikes planted in the middle of busiest nooks The post Citibike Business Opportunity: Advertising appeared first on NYC Data Science Academy Blog.

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Citibike Business Opportunity: Advertising

October 15, 2017
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Citibike Business Opportunity: Advertising

Introduction It is hard to wander around New York City without seeing rows of dozens of bright blue Citibikes planted in the middle of busiest nooks The post Citibike Business Opportunity: Advertising appeared first on NYC Data Science Academy Blog.

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Announcing RStudio Professional Drivers

October 15, 2017
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Announcing RStudio Professional Drivers

Today we are excited to announce the availability of RStudio Professional Drivers. There are, of course, many ways to connect to Databases using R. RStudio Professional Drivers are specifically intended for use with our professional products...

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Can we use B-splines to generate non-linear data?

October 15, 2017
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Can we use B-splines to generate non-linear data?

I’m exploring the idea of adding a function or set of functions to the simstudy package that would make it possible to easily generate non-linear data. One way to do this would be using B-splines. Typically, one uses splines to fit a curve to data, but I thought it might be useful to switch things around a bit to...

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Sales Analytics: How to Use Machine Learning to Predict and Optimize Product Backorders

Sales Analytics: How to Use Machine Learning to Predict and Optimize Product Backorders

Sales, customer service, supply chain and logistics, manufacturing… no matter which department you’re in, you more than likely care about backorders. Backorders are products that are temporarily out of stock, but a customer is permitted to place an order against future inventory. Back orders are both good and bad: Strong demand can drive back orders, but so can suboptimal...

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Why Use Docker with R? A DevOps Perspective

October 15, 2017
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Why Use Docker with R? A DevOps Perspective

There have been several blog posts going around about why one would use Docker with R. In this post I’ll try to add a DevOps point of view and explain how containerizing R is used in the context of the OpenCPU system for building and deploying R servers. Has anyone in the #rstats world written really well about the...

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Uncovering Business Opportunities with License Geolocation Data

October 15, 2017
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Uncovering Business Opportunities with License Geolocation Data

Motivation Starting or expanding a business is a resource-demanding endeavor that often requires significant research on behalf of an entrepreneur. While most large, established businesses have The post Uncovering Business Opportunities with License Geolocation Data appeared first on NYC Data Science Academy Blog.

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Uncovering Business Opportunities with License Geolocation Data

October 15, 2017
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Uncovering Business Opportunities with License Geolocation Data

Motivation Starting or expanding a business is a resource-demanding endeavor that often requires significant research on behalf of an entrepreneur. While most large, established businesses have The post Uncovering Business Opportunities with License Geolocation Data appeared first on NYC Data Science Academy Blog.

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