Astrostatistics school

October 17, 2017
By
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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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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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 th...

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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
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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 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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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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Rats in NYC! A Retrospective

October 15, 2017
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Rats in NYC! A Retrospective

32 million dollars. Take a while, let that sink in. Thirty-two. Million. Dollars. Three months ago, mayor de Blasio presented a $32 million dollar plan to The post Rats in NYC! A Retrospective appeared first on NYC Data Science Academy Blog.

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Creating interactive SVG tables in R

October 14, 2017
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Creating interactive SVG tables in R

In this post we will explore how to make SVG tables in R using plotly. The tables are visually appealing and can be modified on the fly using simple drag and drop. Make sure you install the latest version of Plotly i.e. v 4.7.1.9 from Github using devtools::install_github("ropensci/plotly) The easiest way to create a SVG

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New Zealand fatal traffic crashes by @ellis2013nz

October 14, 2017
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New Zealand fatal traffic crashes by @ellis2013nz

Traffic fatalities in the news Fatalities from traffic crashes have been in the news in New Zealand recently, for tragic reasons. For once, data beyond the short term have come into the debate. Sam Warburton has written two good articles on the topi...

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An AI pitches startup ideas

October 13, 2017
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Take a look at this list of 13 hot startups, from a list compiled by Alex Bresler. Perhaps one of them is the next Juicero? FAR ATHERA: A CLINICAL AI PLATFORM THAT CAN BE ACCESSED ON DEMAND. ZAPSY: TRY-AT-HOME SERVICE FOR CONSUMER ELECTRONICS. MADESS: ON-DEMAND ACCESS TO CLEAN WATER. DEERG: AI RADIOLOGIST IN A HOME SPER: THE FASTEST, EASIEST...

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R for Business Analysts, NYC Data Science Academy in-person training | November 6 @NYC

October 13, 2017
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R for Business Analysts, NYC Data Science Academy in-person training | November 6 @NYC

R is a powerful language used widely for business analytics. More companies are seeking business analysts with knowledge of R. In this R for Business Analysts The post R for Business Analysts, NYC Data Science Academy in-person training | November 6 @NYC appeared first on NYC Data Science Academy Blog.

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Uber assignment with lpSolve

October 13, 2017
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Uber assignment with lpSolve

By Yuri Fonseca In this post we are going to make an Uber assignment simulation and calculate some metrics of waiting time through simulation. Setting Suppose we live in a 100×100 block city where each block takes 1 minute to … Continue reading →

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.rprofile: David Smith

October 13, 2017
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.rprofile: David Smith

In this occasional series, we interview someone using a loosely defined set of interview questions for the purpose of “Demystifying the Creative/Development Process of the R Community”. This interview was conducted and prepared by Kelly O'Briant as part of an rOpenSci unconf17 project. David Smith is a Blogger and Community Lead at Microsoft. I had the chance to interview David...

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Practical Machine Learning with R and Python – Part 2

October 12, 2017
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Practical Machine Learning with R and Python – Part 2

In this 2nd part of the series “Practical Machine Learning with R and Python – Part 2”, I continue where I left off in my first post Practical Machine Learning with R and Python – Part 2. In this post I cover the some classification algorithmns and cross validation. Specifically I touch -Logistic Regression -K Nearest … Continue reading Practical...

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GitHub Streak: Round Four

October 12, 2017
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GitHub Streak: Round Four

Three years ago I referenced the Seinfeld Streak used in an earlier post of regular updates to to the Rcpp Gallery: This is sometimes called Jerry Seinfeld's secret to productivity: Just keep at it. Don't break the streak. and showed the first chart of GitHub streaking And two year ago a first follow-up appeared in this post: And a year ago we had...

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.rprofile: David Smith

In this occasional series, we interview someone using a loosely defined set of interview questions for the purpose of “demystifying the creative and development processes of R community members”. This interview was conducted and prepared by Kelly O...

Read more »

The Bold & Beautiful Character Similarities using Word Embeddings

October 12, 2017
By
The Bold & Beautiful Character Similarities using Word Embeddings

Introduction I often see advertisement for The Bold and The Beautiful, I have never watched a single episode of the series. Still, even as a data scientist you might be wondering how these beautiful ladies and gentlemen from the show … Continue reading →

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A cRyptic crossword with an R twist

October 12, 2017
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A cRyptic crossword with an R twist

Last week's R-themed crossword from R-Ladies DC was popular, so here's another R-related crossword, this time by Barry Rowlingson and published on page 39 of the June 2003 issue of R-news (now known as the R Journal). Unlike the last crossword, this one follows the conventions of a British cryptic crossword: the grid is symmetrical, and eschews 4x4 blocks...

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