Tag: data science

Feed: R-bloggers. Author: Peter's stats stuff - R. I recently read the high quality book Global Inequality by Branko Milanovic. When reading this sort of thing, I often find I can increase my engagement with a topic by playing around with the data myself. In this day and age, this is much more likely to be possible than a couple of decades back! I remember when I first studied development economics, typing into Lotus 123 the data from tables in the back of a World Development Report. These days to get the same data we just fire up R and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: HAN Lijun.   By JIANG Buxing, Data Scientist  Multidimensional analysis, commonly called OLAP, is an interactively data analysis process that performs operations, including rotation, slice and dice, drilldown etc., on a data cube. The structure of its back-end computation is simple, as shown by the following SQL: SELECT D,..., SUM(M), ... FROM C WHERE D'=d' AND ... GROUP BY D,... The statement aggregates some measures by some dimensions. C is a data cube, D,… represents dimensions to be selected, and M,… represents measures to be aggregated. Except for SUM, we can ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained untouched with recent spurt of cyber attacks. Most companies have cyber security systems in place with some Fortune 500 and government agencies having highly advanced sophisticated systems in place. The difficulty is, not many have constructed living, dynamic and vibrant ... Read More

Feed: Cognitive Class Author: Janice Darling Posted on May 30, 2017 by Janice Darling Here’s this week’s news in Data Science and Big Data. Don’t forget to subscribe if you find this useful! Interesting Data Science Articles and News Featured Courses From Cognitive Class Upcoming Data Science Events Big Data Toronto 2017 –June 20, 2017 – June 21, 2017 all-day Metro Toronto Convention Center, 255 Front Street West Toronto, Ontario M5V 2W6 Canada Share this: Related Tags: analytics, Big Data, data science, events, weekly roundup ... Read More

Feed: Cognitive Class Author: Janice Darling Posted on May 23, 2017 by Janice Darling Here’s this week’s news in Data Science and Big Data. Don’t forget to subscribe if you find this useful! Interesting Data Science Articles and News Upcoming Data Science Events Featured Courses From Cognitive Class Share this: Related Tags: analytics, Big Data, data science, weekly roundup ... Read More

Feed: R-bloggers. Author: R Views. This is the third post in our series on portfolio volatility, variance and standard deviation. If you want to start at the beginning with calculating portfolio volatility, have a look at the first post here – Intro to Volatility. The second post on calculating rolling standard deviations is here: Intro to Rolling Volatility. Today we will visualize rolling standard deviations with highcharter using two objects from that second post. The charts, which are the fun payoff after all of the equations and functions that we have ground out in the previous posts, should highlight any ... Read More

Feed: R-bloggers. Author: nsaunders. “‘Demographic tsunami’ will keep Sydney, Melbourne property prices high” screams the headline. While the census showed Australia overall is aging, there’s been a noticeable lift in the number of people aged between 25 to 32.As the accompanying graph shows… Whoa, that is one ugly chart. First thought: let’s not be too hard on Fairfax Media, they’ve sacked most of their real journalists and they took the chart from someone else. Second thought: if you want to visualise change over time, time as an axis rather than a coloured bar is generally a good idea. Can we ... Read More

Feed: R-bloggers. Author: Bob Carpenter. It was another productive week in Stan land. The big news is that Jonathan Auerbach reports that A team of Columbia students (mostly Andrew’s, including myself) recently won first place in a competition predicting elementary school enrollment. I heard 192 entered, and there were 5 finalists….Of course, we used Stan (RStan specifically). … Thought it might be Stan news worthy. I’d say that’s newsworthy. Jon also provided a link to the “challenge” page, a New York City government sponsored “call for innovations”: Enhancing School Zoning Efforts by Predicting Population Change. They took home a US$20K ... Read More

Feed: R-bloggers. Author: David Smith. IEEE Spectrum has published its fourth annual ranking of of top programming languages, and the R language is again featured in the Top 10. This year R ranks at #6, down a spot from its 2016 ranking (and with an IEEE score — derived from search, social media, and job listing trends — tied with the #5 place-getter, C#). Python has taken the #1 slot from C, jumping from its #3 ranking in 2016. For R (a domain specific language for data science) to rank in the top 10, and for Python (a general-purpose language with many ... Read More

Feed: R-bloggers. Author: Euthymios Kasvikis. Introduction R Markdown is one of the most popular data science tools and is used to save and execute code to create exceptional reports whice are easily shareable. The documents that R Markdown provides are fully reproducible and support a wide variety of static and dynamic output formats. R Markdown uses markdown syntax, which provides an easy way of creating documents that can be converted to many other file types, while embeding R code in the report, so it is not necessary to keep the report and R script separately. Furthermore The report is written ... Read More