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...

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...

Organizing an event can be a full-time task in and of its own. I have been organizing ASA DataFest for six years at Duke, and over this time, the number of participants has grown from 23 students from Duke only, to 360 students from seven area schools this year! First, a bit ...

Organizing an event can be a full-time task in and of its own. I have been organizing ASA DataFest for six years at Duke, and over this time, the number of participants has grown from 23 students from Duke only, to 360 students from seven area schools this year! First, a bit ...

This month’s Tips and Tricks focus is on file navigation. Many of these tips are straightforward - more tip than trick - but they can save quite a bit of time and frustration. Open Recent Please don’t spend time navigating through your folder stru...

This month’s Tips and Tricks focus is on file navigation. Many of these tips are straightforward - more tip than trick - but they can save quite a bit of time and frustration. Open Recent Please don’t spend time navigating through your folder structure to find a recent ...

R (https://www.r-project.org) is a premier system for statistical and scientific computing and data science. At its core, R is a very carefully curated high-level interface to low-level numerical libraries. True to this principle, R packages have greatly expanded the scope and number of these interfaces over the ...

R (https://www.r-project.org) is a premier system for statistical and scientific computing and data science. At its core, R is a very carefully curated high-level interface to low-level numerical libraries. True to this principle, R packages have greatly expanded the scope and number of these interfaces over the ...

One hundred and forty-five new packages were added to CRAN in February. Here are 47 interesting packages organized into five categories; Biostatistics, Data, Data Science, Statistics and Utilities. Biostatistics BaTFLED3D v0.1.7: Implements a machine...

One hundred and forty-five new packages were added to CRAN in February. Here are 47 interesting packages organized into five categories; Biostatistics, Data, Data Science, Statistics and Utilities. Biostatistics BaTFLED3D v0.1.7: Implements a machine learning algorithm to make predictions and determine interactions in data that varies along three independent modes. ...

Welcome to another installment of Reproducible Finance with R. Today we are going to shift focus in recognition of the fact that there’s more to Finance than stock prices, and there’s more to data download than quantmod/getSymbols. In this post, we will explore commodity prices using data ...

Welcome to another installment of Reproducible Finance with R. Today we are going to shift focus in recognition of the fact that there’s more to Finance than stock prices, and there’s more to data download than quantmod/getSymbols. In this post, we will explore commodity prices using data ...

Note: R Notebooks requires RStudio Version 1.0 or later I’m a big fan of the R console. During my early years with R, that’s all I had, so I got very comfortable with pasting my code into the console. Since then I’ve used many code editors for R,...

Note: R Notebooks requires RStudio Version 1.0 or later I’m a big fan of the R console. During my early years with R, that’s all I had, so I got very comfortable with pasting my code into the console. Since then I’ve used many code editors for R, ...