If you're looking a guide to making publication-ready data visualizations in R, check out the BBC Visual and Data Journalism cookbook for R graphics. Announced in a BBC blog post this week, it provides scripts for making line charts, bar charts, and other visualizations like those below used in the ...

Create a predictive model with the h2o package. H2o is a fantastic open source machine learning platform with many different algorithms. There is Graphical user interface, a Python interface and an R interface. Suppose you want to create a predictive … Continue reading →

Hello again! Typically I would start by describing a complicated problem that can be solved using machine or deep learning methods, but today I want to do something different, I want to show you some interesting probabilistic phenomena! Have you heard of Zipf’s law? I hadn’t until recently. ...

A Le Monde mathematical puzzle that seems hard to solve without the backup of a computer (and just simple enough to code on a flight to Montpellier): Given the number N=2,019, find a decomposition of N as a sum of non-trivial powers of integers such that (a) the number of ...

We have two new chapters of Practical Data Science with R, Second Edition online and available for review! The newly available chapters cover: Data Engineering And Data Shaping – Explores how to use R to organize or wrangle data into a shape useful for analysis. The chapter covers applying data transforms, ...

The two major data science languages, Python and R, have historically taken two separate paths when it comes to where data scientists are doing the coding. The R language has the RStudio IDE, which is a great IDE for data science because of its feature...

CategoriesAdvanced Modeling Tags K Means R Programming Unsupervised Learning Visualization has become a key application of data science in the telecommunications industry. Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can ...

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.7.0 provides a variety of new features, as well as various ...

I’ve never taught an intro probability/statistics course. If I ever did, I would certainly want to bring the underlying wonder of the subject to life. I’ve always found it almost magical the way mathematical formulation can be mirrored by computer simulation, the way proof can be guided ...

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Brandeis Marshall, Associate Professor of Computer Science in the Computer and Information Sciences Department at Spelman College. Here is the podcast link. Introducing Brandeis Marshall Hugo: Hi there, Brandeis, and welcome to DataFramed. Brandeis: Well, thank you. Wonderful to ...