Tag: fun

Feed: R-bloggers. Author: R on Gianluca Baio. As I posted recently, I’m involved in a couple of events, later this summer: our annual Summer School and the new(er) tradition of the R for HTA workshop. I have to say that I’m very happy about how things are proceeding for both of them. The summer school has been first advertise a few months back (I’ve posted on the blog, but we’ve also tried to reach other relevant mailing lists and groups, such as the HTA agencies in the EUnetHTA Network). And the dancefloor is quickly filling — there’s been a surge ... Read More

Feed: Teradata Blog. I have often been accused of putting everything through the lens of data and analytics.  Many of my long-time followers know of my fondness for finding quotes or pithy sayings from movies, books, and everyday life that reinforce the message of leveraging data to drive a better outcome.One such idea is from the book Robopocalypse by Daniel H. Wilson.  The gist of the story is that a computer achieves intelligence and quickly determines humans are the problem with the world, and you may have guessed, fun and hilarity do not ensue.  The part I love is the ... Read More

Feed: R-bloggers. Author: xi'an. Here are two nice exercises for a future simulation exam, seen and solved on X validated.The first one is about simulating a Gibbs sampler associated with the joint target exp{-|x|-|y|-a(y-x|} defined over IR² for a≥0 (or possibly a>-1). The conditionals are identical and non-standard, but a simple bound on the conditional density is the corresponding standard double exponential density, which makes for a straightforward accept-reject implementation. However it is also feasible to break the full conditional into three parts, depending on the respective positions of x, y, and 0, and to obtain easily invertible cdfs on ... Read More

Feed: Hazelcast Blog. Author: Jaromir Hamala. In the previous post we have seen how LockSupport.parkNanos() is implemented on Linux, what behavior to expect and how we can tune it. The post was well-received and a few people asked how parkNanos() behaves on Windows. I’ve used Linux as a daily driver for over a decade and I didn’t feel like exploring Windows. It’s a closed source operating system and that makes it hard to explore it. Moreover, my knowledge of Windows API is virtually non-existent and I felt the learning curve would be too steep to justify the time investment. However, ... Read More

Feed: What's New. Author: JoAnn Peach. We’re excited to host all our developer community at each hack. We’ll make sure you’re fed, fueled, have access to our engineering team - and get some awesome “hack packs” as gifts to boot! What do you get for spending time having fun, building your hack idea? A first-time-ever, custom Seattle hack trophy. (It’s cool, we promise. Don’t worry, we’ll have custom trophies for other cities as well.) And the winning hack team will receive complimentary tickets to this year’s Tableau Conference in Las Vegas! You read that right. You and your crew—or just ... Read More

Feed: Planet PostgreSQL. I want to take a few minutes for a deep dive into the effect your data model has on storage density when using PostgreSQL. When this topic came up with a customer, I explained my thoughts on the matter, but I realized at the time that I had never done a reasonably careful apples-to-apples test to see just exactly what the effect is, at least for a model sample size of one. So here it is ... Read More

Feed: R-bloggers. Author: Hugo Bowne-Anderson. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Marco Blume, Trading Director at Pinnacle Sports. Here is the podcast link. Hugo: Hi there, Marco, and welcome to Dataframed. Marco: Yeah, hi Hugo. Thanks for having me. Hugo: Real pleasure to have you on the show and I’m actually really excited to have you here today to talk about sports betting, how data science plays a huge role in what you do as trading director at Pinnacle, with respect to sports betting. And also the fact that sports betting in your line of ... Read More

Feed: Cambridge Intelligence. Author: Dan Williams. To help users make sense of their complex data, KeyLines – the graph visualization toolkit – offers an intuitive way to group and combine different nodes. We call these groupings combos. They’re great for reducing clutter and organizing your networks into something more manageable.Insightful user feedback has helped us make combos even better (you’ll have spotted the latest batch of great enhancements in KeyLines 5.1). There are more improvements to come as this powerful feature will soon move out of Beta development and become an established part of the KeyLines toolkit.How you style nodes ... Read More

Feed: Planet MySQL; Author: Valeriy Kravchuk; More than 3 weeks passed since my previous review of public MySQL bug reports I am subscribed to, so it's time to present some of the bugs I've considered interesting in January, 2019.As usual, I'll review them starting from the oldest and try to summarize my feelings about these bugs at the end of this post. Here they are:Bug #93806 - "Document error about ON DUPLICATE KEY UPDATE". Years pass, but fine MySQL manual still does not explain some cases of InnoDB locking properly. Xiaobin Lin found yet another case that it does not explain ... Read More

Feed: R-bloggers. Author: R by R(yo). “Hey there criminal. It’s me, Johnny Law!” – Jake Peralta, NYPD. Brooklyn Nine-Nine has become one of my favorite sitcoms in recentyears, probably taking over from Parks & Recreation and Community. So inthis blog post, I’m going to web scrape some very simple TV statistics,clean it up with the tidyverse, and visualize it with ggplot2… “Terry loves ggplot2!” Let’s get started! pacman::p_load(tidyverse, rvest, glue, cowplot, ggbeeswarm, polite, extrafont, knitr, kableExtra) loadfonts() # "Univers" and "Univers LT 93 ExtraBlackEx" fonts First, I created a custom Brooklyn Nine-Nine theme that I can puton every plot. This ... Read More