Tag: datasets

Feed: AWS Big Data Blog. re:Invent 2018 is around the corner! This year, data and analytics tracks are bigger than ever.This blog post highlights the data and analytics sessions at re:Invent 2018. If you’re attending this year, you want to check out the sessions, workshops, chalk talks, and builder sessions that we have at the conference. As in previous years, you can find these events in various topic categories, such as Analytics, Deep Learning, AI Summit, Serverless, Architecture, and Databases. We have great sessions from Intuit, Nike, Intel, WuXi NextCODE, Warner Brothers, AutoDesk, NFL, SendGrid, McDonald, AirBnB, Hilton, Guardian Life, ... Read More

Feed: R-bloggers. Author: R on kieranhealy.org. Data Visualization: A Practical Introduction will begin shipping next week. I’ve written an R package that contains datasets, functions, and a course packet to go along with the book. The socviz package contains about twenty five datasets and a number of utility and convenience functions. The datasets range in size from things with just a few rows (used for purely illustrative purproses) to datasets with over 120,000 observations, for practicing with and exploring. A course packet is also included the package. This is a zipped file containing an R Studio project consisting of nine ... Read More

Feed: SAS Blogs. Author: Kelly Mills. As mentioned in other PROC SGMAP blogs, several SAS/GRAPH procedures have been moved to 9.4M6 Base SAS to be used with PROC SGMAP. You can use these to create PROC SGMAP output even when using the free SAS University edition. In this blog you will use the: IMPORT procedure for CSV files GINSIDE procedure GEODIST function You will also combine datasets and use multiple PROC SGMAP statements to plot data onto background maps. Here is the complete code for this example. Importing CSV Data SAS Institute has a training center located on 7th Avenue ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Bikas Saha. This is the third in a series of data engineering blogs that we plan to publish. The first blog outlined the data science and data engineering capabilities of Hortonworks Data Platform. Motivation Apache Spark is becoming the de-facto processing framework for all kinds of complex processing including ETL, LOB business data processing and machine learning. This is because of the simple and intuitive APIs for common data processing operations and deep integration with popular languages like Java, Scala, Python and R. Increasingly, it’s also being adopted for continuous processing scenarios using the ... Read More

Feed: R-bloggers. Author: Daniel Marcelino's Blog. I have several tables that I would like to load as a sole data frame. Derived functions from read. table () have a lot of convenient features, but it seems like there is a lot of steps in the implementation that would slow things down. The gain in performance of reading 29 CSV files (about 2.2 GB) shows quite different picture. While the parallelization process does bring some improvement considering the ‘user time’, i.e. the CPU time charged for the process execution at the machine level, the ‘elapsed time’, i.e. the ‘real’ elapsed time ... Read More

Feed: SAS Blogs. Author: Robert Allison. We got our first 'big' snow of the season here at the SAS headquarters in Cary, NC ... therefore I thought this would be a great time to dig into some snow data! Follow along and pick up some tips & tricks as I plot our snow data - and then learn how to download similar data for your area, so you can try your hand at plotting it. But before we get started, here's a snow picture to get you in the mood. This is my favorite barbecue restaurant Ole Time Barbecue, just ... Read More

Feed: R-bloggers. Author: kjytay. I’m a casual NBA fan: I don’t have time to watch the games but enjoy viewing the highlights on Instagram/Youtube (especially Shaqtin’ A Fool!); I sometimes read game articles and analyses (e.g. Blogtable). Apart from the game being an amazing visual spectacle, it’s fun to drink in the deluge of stats that each game brings. I’m not even talking about advanced stats and “ABPRmetrics“: there’s something exciting about seeing how many different statistical records can be broken on a given night. As a data/stats person, I’ve been wanting to get my hands on NBA data and ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. Challenging thousands of data scientists to build a better worldData can be a powerful driver in solving social issues. The AWS Cloud Credits for Research Program seeks to remove barriers and enable researchers to do their best work, bringing them closer to the answers. The program offers grants to: Build cloud-hosted, publicly available, science-as-a-service applications, software, or tools to facilitate future research initiatives and research across communities; Perform proof-of-concept or benchmark tests evaluating the efficacy of moving research workloads or open datasets to the cloud; Educate a broader community on the ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Matt Spillar. It’s been an incredible year for Hortonworks, and it’s only been possible because of our customers! We’ve seen our customers accomplish remarkable achievements across every industry. Throughout the year, we’ve featured a number of these stories, including the challenges that were being faced and the results that were achieved. Here is a look back, at the top eleven customer blogs of 2018: 1. Hilton – Becoming more data centric to drive a better experience for its customers. The new framework has resulted in the ability to do inline pricing on the fly and ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . In November, we announced Power BI’s self-service data preparation capabilities with dataflows, making it possible for business analysts and BI professionals to author and manage complex data prep tasks using familiar self-service tools. Dataflow data can be easily shared across Power BI, allowing business analysts and BI professionals to save time and resources by building on each other’s work, instead of duplicating it, leading to more unified, less siloed data. Learn more about Power BI data prep capabilities here. Today, we’re excited to announce integration between Power BI dataflows ... Read More