Webinar: Getting Started with Spatial Data Analysis with R

I am glad to announce that I shall be presenting a live webinar with Domino Data Labs on February 24, 2016 from 11:00 – 11:30 AM PST: Getting Started with Spatial Data Analysis with R. If you are interested or know someone interested in learning how to manipulate spatial and spatial-temporal data with R, please send them along. Here is the…

Tracking ggplot2 Extensions for Data Visualization

The purpose of this blog post is to inform R users of a website that I created to track and list ggplot2 extensions. The site is available at: http://ggplot2-exts.github.io. The purpose of this site is to help other R users easily find ggplot2 extensions that are coming in “fast and furious” from the R community. If you have developed or intend on developing…

Shiny: Officer Involved Shootings

US Officer Involved Shootings Mar-Apr 2015 with Shiny Now everyone can be a data analyst with RStudio’s Shiny package. Fellow R programmer and Las Vegas import, Steve Wells, has created a R-markdown report that shows off some of the features of this dynamic framework.  Using data derived from the Gun Violence Archive and Google maps, interested users can manipulate this data using four…

Scalable Machine Learning for Big Data Using R and H2O

Part I Part II H2O is an open source parallel processing engine for machine learning on Big Data. This prediction engine is designed by, h20, a Mountain View-based startup that has implemented a number of impressive statistical and machine learning algorithms to run on HDFS, S3, SQL and NoSQL. We were honored to have Tom Kraljevic (Vice President of Engineering…

Launching DataScience.Vegas Blog

We are glad to announce the launch of DataScience.Vegas as a blog that aggregates all the events, news and information impacting the Las Vegas data science community. Our community has witnessed the birth and steady growth of several data science meetup groups with a very enthusiastic group of devoted members. We are a community of data scientists, data miners, statisticians, data analysts,…

R for in-Hadoop Analytics: with Big Data Developer meetup Group

We were honoured to have a joint event with the Big Data Developer Meetup Group where we were introduced to IBMs BigR package for in-Hadoop Analytics. Mr. Rafeal Coss and Mr. Brandon MacKenzie demonstrated the workings of BigR, the integration of R into Hadoop using IBM BigInsights. You can download the slides of this presentation by clicking here. BigR allows R users to seamlessly…

dplyr: Data Manipulation in R

dplyr is a package for efficient data manipulation based on the grammar of data manipulation by Hadley Wickham. This package is efficient in manipulating data frames, data tables, databases and more. Dr. Dennis Murphy gave an interactive presentation of the elements that make dplyr the go-to package for data munging in R. He also provided Rscripts and other additional resources to get us…