April 2017

Solving Data Science’s First Mile Problem

April 6, 2017 | R Views

At data.world, we are out to solve the “first mile problem of data science”: helping people obtain and understand the data sets they need. Everybody starts here whether they are analyzing their fantasy football league or working on the Zika pa...
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Microsoft R Open 3.3.3 now available

April 6, 2017 | David Smith

Microsoft R Open (MRO), Microsoft's enhanced distribution of open source R, has been upgraded to version 3.3.3, and is now available for download for Windows, Mac, and Linux. This update upgrades the R language engine to R 3.3.3, upgrades the installer, and updates the bundled packages. R 3.3.3 makes just a few minor ... [Read more...]

Data Science for Operational Excellence (Part-1)

April 6, 2017 | Lauro Silva

 R has many powerful libraries to handle operations research. This exercise tries to demonstrate a few basic functionality of R while dealing with linear programming. Linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. The lpsolve package in ... [Read more...]

Introducing the ArCo package

April 6, 2017 | insightr

By Gabriel Vasconcelos What is the ArCo?? We recently launched the R package ArCo. It is an implementation of the Artificial Counterfactual method proposed by Carvalho, Masini and Medeiros (2016). This post will review some of its features and show … Continue reading →
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LASSO, adaLASSO and the GLMNET package

April 6, 2017 | insightr

By Gabriel Vasconcelos Motivation If you are close to the data science world you probably heard about LASSO. It stands for Least Absolute Shrinkage and Selection Operator. The LASSO is a model that uses a penalization on the size of … Continue reading →
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Statlearn17, Lyon

April 6, 2017 | xi'an

Today and tomorrow, I am attending the Statlearn17 conference in Lyon, France. Which is a workshop with one-hour talks on statistics and machine learning. And which makes for the second workshop on machine learning in two weeks! Yesterday there were two tutorials in R, but I only took the train ... [Read more...]

Creating abstract city maps for Leaflet usage

April 6, 2017 | inside data blog

Leaflet is a great way to display spatial information in an interactive way. If you want to display the difference between different neighborhoods you would usually get the proper shapefiles on the web and connect your data to them. But sometimes it does not need detailed shapefiles and you want ...
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Shiny App for cultural hackathon

April 6, 2017 | inside data blog

Recently I took part at Coding Durer, a five days international and interdisciplinary hackathon for art history and information science. The goal of this hackathon is to bring art historians and information scientists together to work on data. It is kind of an extension to the cultural hackathon CodingDaVinci where ...
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Plotly charts in nteract notebooks using R

April 5, 2017 | Riddhiman

The Plotly R package can now be used within nteract notebooks. Below are some examples. Visit below links for installation related information Visit Carson’s Plotly for R book for more details on plotly and its capabilities Visit nteract releases to download nteract Visit IRkernel to see details on how ... [Read more...]

Advanced choroplethr – Customized Bins

April 5, 2017 | [email protected]

Choroplethr is great to use straight out of the box, but sometimes you’ll want to fix up some of the details.  In a previous post, I showed how to modify the color scheme.  Now I’ll explain how to set up customized bins when using choroplethr.  If you just ...
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Advanced choroplethr – Customized Bins

April 5, 2017 | [email protected]

Choroplethr is great to use straight out of the box, but sometimes you’ll want to fix up some of the details.  In a previous post, I showed how to modify the color scheme.  Now I’ll explain how to set up customized bins when using choroplethr.  If you just ...
[Read more...]

The Run(chart)ing Man

April 5, 2017 | HighlandR

Measurement for improvement in healthcare with R and Qlik - My not so secret obsession Anyone in the small subset of the Earth’s population who both read this blog AND follow me on Twitter will know that I spend a lot of time at work eithe...
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The Run(chart)ing Man

April 5, 2017 | HighlandR

Measurement for improvement in healthcare with R and Qlik - My not so secret obsession Anyone in the small subset of the Earth’s population who both read this blog AND follow me on Twitter will know that I spend a lot of time at work eithe... [Read more...]

Read elsewhere: Organizing DataFest the tidy way

April 5, 2017 | mine

Part of the reason why we have been somewhat silent at Citizen Statistician is that it’s DataFest season, and that means a few weeks (months?) of all consuming organization followed by a weekend of super fun data immersion and exhaustion… … Continue reading → [Read more...]

JAGS tutorial at useR! 2017

April 5, 2017 | Martyn

I am giving a pre-conference tutorial on JAGS at useR! 2017 in Brussels on 4 July. You can see the outline of the tutorial on the conference website along with the other tutorials being given the same day. This is … Continue reading → [Read more...]

Forecasting Markets using eXtreme Gradient Boosting (XGBoost)

April 5, 2017 | R programming

By Milind Paradkar In recent years, machine learning has been generating a lot of curiosity for its profitable application to trading. Numerous machine learning models like Linear/Logistic regression, Support Vector Machines, Neural Networks, Tree-based models etc. are being tried and applied in an attempt to analyze and forecast the ...
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