856 search results for "SQL"

An Analysis of Traffic Violation Data with SQL Server and R

April 6, 2016
By
An Analysis of Traffic Violation Data with SQL Server and R

By Srini Kumar, Director of Data Science at Microsoft Who does not hate being stopped and given a traffic ticket? Invariably, we think that something is not fair that we got it and everyone else did not. I am no different, and living in the SF Bay Area, I have often wondered if I could get the data about...

Read more »

SQL Server 2016 with R Install

April 2, 2016
By
SQL Server 2016 with R Install

I installed the “SQL Server 2016 Release Candidate” today to start playing around with Microsoft is calling “SQL Server R Services (In-Database)”. I think this is really going to change the way we do things at the office and it’s … Continue reading →

Read more »

SQL Server 2016 launch showcases R

March 14, 2016
By
SQL Server 2016 launch showcases R

Microsoft officially launched SQL Server 2016 at the Data Driven event in New York City last week, and R featured prominently. One of the highlights from Joseph Sirosh's keynote was a demonstration of the World Wide Telescope, an online tool that allows budding astronomers (and professionals!) to explore the visible universe using imagery from the Digitized Sky Survey. The...

Read more »

Performing SQL selects on R data frames

March 13, 2016
By
Performing SQL selects on R data frames

For anyone who has SQL background and who wants to learn R, I guess the sqldf package is very useful because it enables us to use SQL commands in R. One who has basic SQL skills can manipulate data frames in R using their SQL skills. You can read more about sqldf package from cran. Related Post

Read more »

Querying Big Data SQL tables with Oracle R Enterprise

February 15, 2016
By
Querying Big Data SQL tables with Oracle R Enterprise

I was wondering recently if I could use Oracle R Enterprise (ORE) to query Big Data SQL tables (i.e. Oracle Database external tables based on HDFS or Hive data), since I have never seen such a combination mentioned in the relevant Oracle documentation and white papers. I am happy to announce that the answer is an unconditional yes. In...

Read more »

Getting Started with Microsoft SQL Server on Azure

February 11, 2016
By
Getting Started with Microsoft SQL Server on Azure

by Joseph Rickert If you are an R user and work for an enterprise where Microsoft SQL server is important, it is extremely helpful to have easy access to SQL Server databases. Over the past year, we have run several posts on this topic including a comprehensive four part series from Microsoft's Gregory Vandenbrouck on using various flavors of...

Read more »

Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

February 8, 2016
By
Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

If you have a database of credit-card transactions with a small percentage tagged as fraudulent, how can you create a process that automatically flags likely fraudulent transactions in the future? That's the premise behind the latest Data Science Deep Dive on MSDN. This tutorial provides a step by step to using the R language and the big-data statistical models...

Read more »

Using PostgreSQL in R: A quick how-to

February 1, 2016
By
Using PostgreSQL in R: A quick how-to

The combination of R plus SQL offers an attractive way to work with what we call medium-scale data: data that’s perhaps too large to gracefully work with in its entirety within your favorite desktop analysis tool (whether that be R or Excel), but too small to justify the overhead of big data infrastructure. In some … Continue reading...

Read more »

Data Manipulation in R: Beyond SQL

January 19, 2016
By
Data Manipulation in R: Beyond SQL

As a follow up to an article on using SQL in R, I just had an new article published at Simple Talk that considers ways to manipulate data in R that are cumbersome in SQL as well as ways to replace SQL statements with functional equivalents.

Read more »

A use of gsub, reshape2 and sqldf with healthcare data

December 18, 2015
By
A use of gsub, reshape2 and sqldf with healthcare data

Building off other industry-specific posts, I want to use healthcare data to demonstrate the use of R packages. The data can be downloaded here. To read the .CSV file in R you might read the post how to import data in R. Packages in R are stored in libraries and often are pre-installed, but reaching

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)