Tag: datasets

Feed: R-bloggers. Author: Richard Iannone. [This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. We are extremely excited to have our first release of the gt packageavailable in CRAN! The name gt is short for “grammar of tables” andthe goal of gt is similar to that of ggplot2, serving to notjust to make it easy to make specific tables, but to describe a set ofunderlying components ... Read More

Feed: R-bloggers. Author: Kevin Zolea on Kevin Zolea. With all this Covid19 madness going on in the world, I felt inspired to utilize the vast amount of data we have from it. I came across a dataset by the The NY Times. From reading over the GitHub repository, they obtain this time series data from state and local governments and health departments. To get a better sense of the data please go to the link above! The objective of what I am trying to accomplish is to create an animated time series map showing how Covid19 spread throughout NJ. To ... Read More

Feed: Radar. Author: Mike Loukides. Data Governance sounds like a candidate for the most boring topic in technology: something dreamed up by middle-managers to add friction to data scientists’ lives. The funny thing about governance, though, is that it’s closely related to data discovery. And data discovery is neither dull nor additional friction; it’s an exciting process that enables great data projects, ranging from traditional reporting to artificial intelligence and machine learning. The idea of data governance originated in regulation and compliance. Not that long ago, data was a “wild west”: there were few rules and regulations about how it ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . With the ongoing concerns of COVID-19, it’s fair to say business hasn’t been as usual for the Power BI team. All of us have been working from home for over a month now and following strict social distancing guidelines to prevent the spread of this outbreak. We hope everyone out there is staying safe and healthy in these unprecedented times. Our thoughts are with those affected and the medical professionals tirelessly working to help those in need. On the brighter side, we’re continuing to roll out features as per ... Read More

Feed: AWS Big Data Blog. Since Amazon Redshift launched in 2012, its focus has always been on providing you with the best possible performance, at scale, and at the lowest possible cost. For most organizations across the globe, the amount of data going into their data warehouse is growing exponentially, and the number of people who want insights from that data increases daily. Because of this, Amazon Redshift is continually innovating to handle this growing volume of data and demand for insights.Amazon Redshift delivers fast performance, at scale, for the most demanding workloads. Getting there was not easy, and it ... Read More

Feed: Actian. Author: Pradeep Bhanot. The era of data warehouse appliances is coming to an end, rapidly being replaced with a new generation of cloud services.  The first data warehouse appliance was introduced onto the market in 2003.  For nearly 15 years, this market grew with several large technology players, including IBM, Oracle, and Teradata developing or acquiring database appliance offerings.These self-contained hardware devices enabled companies to scale their data warehouse infrastructure to support the expanding needs of business analytics.  We are now entering a new era when the hardware solution to the data warehouse scaling problem is being replaced ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ramesh. Predicting Smart Meters’ Next Non-Communicative Day Smart meters are used for billing of electricity, gas, water, and heat for residential, commercial, and production sites. The technological advancements in these smart meters are being driven by the demand from utility companies to create a smarter and more efficient grid aimed at reducing non-revenue losses. However, these smart meters have challenges to maintain and identifying problems. Identifying Faults/ Maintenance Challenges Smart meters go non-communicative for many reasons which include an excess of electric energy measurement, under voltage of battery, communication failure, timing ... Read More

Feed: R-bloggers. Author: Brian Callander. [This article was first published on Brian Callander, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Here’s my solution to the medium exercises in chapter 3 of McElreath’s Statistical Rethinking, 2nd edition. (DeclareMathOperator{dbinomial}{Binomial} DeclareMathOperator{dbernoulli}{Bernoulli} DeclareMathOperator{dpoisson}{Poisson} DeclareMathOperator{dnormal}{Normal} DeclareMathOperator{dt}{t} DeclareMathOperator{dcauchy}{Cauchy} DeclareMathOperator{dexponential}{Exp} DeclareMathOperator{duniform}{Uniform} DeclareMathOperator{dgamma}{Gamma} DeclareMathOperator{dinvpamma}{Invpamma} DeclareMathOperator{invlogit}{InvLogit} DeclareMathOperator{logit}{Logit} DeclareMathOperator{ddirichlet}{Dirichlet} DeclareMathOperator{dbeta}{Beta}) Assuming Earth has 70% water cover, and we observe water 8 times out of 15 globe tosses, let’s calculate some posterior quantities ... Read More

Feed: R-bloggers. Author: Paweł Przytuła. The situation around COVID-19 has forced many countries around the world to adopt social distancing policies. This means that more of the world’s workforce is working remotely than ever before. Data Science teams are no exception. Distributed teams bring unique challenges, and managers may be looking for new tools. In this article we’ll explain how RStudio Connect helps organizations to properly organize teams and overcome the typical inefficiencies of remote work. Some common problems for distributed teams include: Onboarding new users, teams, and “teams of teams”  Version control and arriving at a “single source of ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Sanjay Nighojkar. By Suraj Nathani, Sr. Solutions Architect at Mactores CognitionBy Anil Patel, Data Engineer at Mactores CognitionBy Sanjay Nighojkar, Manager, Partner Solutions Architect at AWSSeagate Technology is a United States-based data storage company with worldwide manufacturing facilities that generate huge amounts of manufacturing and testing data. With petabytes of data accumulated over 20 years, and more being generated each day, it was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their return on investment (ROI). Seagate’s on-premises big data ... Read More