Tag: Facebook

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article was written by Shival Gupta. We spend about 5 hours on our smartphones every day as per this study from Flurry. Not only is this statistic surprising in its own right, about 65% of this time is spent on communication related activities like social media, texting, emailing and phone calls. That’s 3 hours and 15 minutes. Every. Single. Day. What it means is that the tables have turned at an angle acute. The mobile app that you were building for your kickass startup idea? It’s going to compete with ... Read More

Feed: R-bloggers. Author: quintuitive. When I wrote the original post, I wasn’t planning on writing a follow-up. Certainly not the week after. But what a difference a week can make in a dynamic system like the US stock market. While re-running the computations testing the latest version of RStudio, I noticed something surprising – President Trump’s rally has advanced to 2nd place! A mere week ago, that seemed unthinkable. Something abnormal must have happened. Two things happened. First, the current stock market advanced another 2%. Nothing to brag about just another positive vote of confidence in the economy’s direction. The ... Read More

Feed: R-bloggers. Author: Bidyut Ghosh. In the last two posts, I’ve focused purely on statistical topics – one-way ANOVA and dealing with multicollinearity in R. In this post, I’ll deviate from the pure statistical topics and will try to highlight some aspects of qualitative research. More specifically, I’ll show you the procedure of analyzing text mining and visualizing the text analysis using word cloud.Some of typical usage of the text mining are mentioned below:• Marketing managers often use the text mining approach to study the needs and complaints of their customers;• Politicians and journalists also use effectively the text mining ... Read More

Feed: R-bloggers. Author: Mauricio Vargas S. 帕夏. On a previous post I explained how to install R on Ubuntu 16.04 without further complications. Now here are the equivalent steps on Ubuntu 17.10. The presented script also installs Java and common packages as I wrote this for a fresh install. Administrator (sudo) access to be able to install packages. This script will install everything. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics ... Read More

Feed: R-bloggers. Author: Economics and R - R posts. How much pollution reduction do we get from a MWh electricity produced by wind or solar power? In principle, this corresponds to the avoided pollution of a fossil fuel plant that reduces its output due to the higher production of renewable electricity. Which fossil fuel plant reduces its output and to which degree is not straightforward, however. It depends on the flexibility of the power plants, the predictability of the wind supply and possible network congestion. Kevin Novan studies the pollution reduction of wind energy in his very interesting article “Valuing ... Read More

Feed: R-bloggers. Author: R – Bio7 Website. 20.10.2017 Beside a massive of amount of R packages and ImageJ plugins Bio7 can be extended with Eclipse plugins useful for data science and programming. Some of them could also be very useful for R related developments (e.g., to develop R packages or distribute Shiny apps). Installation of Eclipse Plugins One  way to install Eclipse plugins is by using the Update Manager in the help menu (Help->Install New Software). Thus the first step to install a plugin is to open the Update Manager and selecting the category “Eclipse Repository – http://download.eclipse.org/releases/neon” (see screenshot ... Read More

Feed: All - O'Reilly Media. Author: Scott Hurff. Blueprint sketch (source: PublicDomainPictures.net) This is an excerpt from "Designing Products People Love"—read the full book on Safari. “What if you launch your product...and nobody buys it?” These were the words that compelled me, as a would-be graduate of the 30x500 bootcamp (a class that teaches people how to create and sell their first products), to become a student. It was a moment that would change my life. Less than six months after graduating from the course, I created two products from scratch that made more money with fewer customers than the ... Read More

Feed: R-bloggers. Author: Michael Griebe. Week76 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 7 (2017) appeared first on Fantasy Football Analytics. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more... If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook ... Read More

Feed: SAS Blogs. Author: Michael Rabin. On the way to visit a customer recently, I heard a feature on the radio that made me stop and think. The feature was about a fitness chain that was about to open the world's largest gym in Germany. The difference was the membership model. Instead of a monthly membership fee, users would pay with data. As an employee of a data analysis software producer, this raised a lot of questions in my mind: How would it work? What about privacy? How does this change visits to the gym? What are my data worth and what ... Read More

Feed: R-bloggers. Author: Gavin L. Simpson. One of the specialist smoother types in the mgcv package is the Markov Random Field (MFR) smooth. This smoother essentially allows you to model spatial data with an intrinsic Gaussian Markov random field (GMRF). GRMFs are often used for spatial data measured over discrete spatial regions. MRFs are quite flexible as you can think about them as representing an undirected graph whose nodes are your samples and the connections between the nodes are specified via a neighbourhood structure. I’ve become interested in using these MRF smooths to include information about relationships between species. However, ... Read More