Tag: DATE

Feed: Featured Blog Posts - Data Science Central. Author: Zeeshan Usmani. Kaggle is an AirBnB for Data Scientists – this is where they spend their nights and weekends. It’s a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science and predictive analytics problems through machine learning. It has over 536,000 active members from 194 countries and it receives close to 150,000 submissions per month. Started from Melbourne, Australia Kaggle moved to Silicon Valley in 2011, raised some 11 million dollars from the likes of Hal Varian (Chief Economist at Google), ... Read More

Feed: R-bloggers. Author: @aschinchon. Well I walk upon the river like it’s easier than land(Love is All, The Tallest Man on Earth) The Metropolitan Museum of Art provides here a dataset with information on more than 450.000 artworks in its collection. You can do anything you want with these data: there are no restrictions of use. Each record contains information about the author, title, type of work, dimensions, date, culture and  geography of a particular piece. I can imagine a bunch of things to do with these data but since I am a big fan of highcharter,  I have done ... Read More

Feed: R-bloggers. Author: David Smith. Changes are coming to the internals of the R engine which promise to improve performance and reduce memory use, with dramatic impacts in some circumstances. The changes were first proposed by Gabe Becker at the DSC Conference in 2016 (and updated in 2017), and the implementation by Luke Tierney and Gabe Becker is now making its way into the development branches of the R sources. ALTREP is an alternative way of representing R objects internally. (The details are described in this draft vignette, and there are a few more examples in this presentation.) It's easiest to illustrate by ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and random number generators. In this article, we show how big data, statistical science (more specifically, pattern recognition) and the use of new efficient, distributed algorithms, could lead to an original research path to discover large primes. Here we also discuss new mathematical conjectures related to our methodology. Much of the focus so far has been on discovering raw large primes: Any time a new ... Read More

Feed: What's New. You can define custom request attributes or choose a pre-defined attribute. Currently, Amazon Lex supports time-zone as a pre-defined request level attribute. Request attributes are available only in scope of the current request and are ideal for passing information that you do not wish to retain for the entire session. For example, for a financial services chatbot, you can use custom request attributes to pass critical information such as a client account ID. The time-zone attribute can be used to resolve a date relative to the specified time-zone. With request attributes, you can customize the response to ... Read More

Feed: Planet PostgreSQL. SQL extract provides access to the components of temporal data types—i.e. date, time, timestamp, and interval.SQL extract uses the keyword from to separate the field name from the value.EXTRACT( FROM )The field names are SQL keywords too—you must not put them in double or single quotes.SQL extract returns an exact numeric value. For second, it also includes fractions. The following table lists the extract fields defined by the SQL standard.Meaningextract fieldYearYEARMonthMONTHDay of monthDAY24 hourHOURMinuteMINUTESeconds (including fractions)SECONDTime zone hourTIMEZONE_HOURTime zone minuteTIMEZONE_MINUTERelated FeaturesExtract can only get single fields. To extract the full date (year, month, day) or time (hour, ... Read More

Feed: Planet big data. Author: Ronald van Loon. “Data will talk to you if you’re willing to listen”— Jim Bergeson. Few can dispute that. However, the challenge comes when data transforms into bundles and stacks of unorganized and unstructured data sets. The challenge comes with listening to big data and making sense of what it says. With big data, the conversing data becomes loud and noisy. You don’t hear the voice; you hear the cacophony. This is where organizations struggle. And, amidst a struggle, you look up to the leaders to see how they are rising to the challenge. You ... Read More

Feed: R-bloggers. Author: hrbrmstr. International Code Talk Like A Pirate Day almost slipped by without me noticing (September has been a crazy busy month), but it popped up in the calendar notifications today and I was glad that I had prepped the meat of a post a few weeks back. There will be no ‘rrrrrr’ abuse in this post, I’m afraid, but there will be plenty of R code. We’re going to combine pirate day with “pirating” data, in the sense that I’m going to show one way on how to use the web scraping powers of R responsibly to ... Read More

Feed: R-bloggers. Author: Sharp Sight. Last week’s blog post about Amazon’s search for a location for a second headquarters left me thinking about the company’s growth. After looking at the long term growth of the stock price, it occurred to me that visualizing the stock price data would be a great example of how to create a line chart in R using ggplot2. So in this blog post, I’ll show you how to make a line chart with ggplot2, step by step. Let’s jump in. First, we’ll load several packages: we’ll load readr, which we’ll use to read in the ... Read More

Feed: R-bloggers. Author: Troy Walters. Many of the methods used in time series analysis and forecasting have been around for quite some time but have taken a back seat to machine learning techniques in recent years. Nevertheless, time series analysis and forecasting are useful tools in any data scientist’s toolkit. Some recent time series-based competitions have recently appeared on kaggle, such as one hosted by Wikipedia where competitors are asked to forecast web traffic to various pages of the site. As an economist, I have been working with time series data for many years; however, I was largely unfamiliar with ... Read More