# Incase you missed it: My Webinar on Spatial Data Analysis with R

In case you missed my free webinar on “Getting Started with Spatial Data Analysis with R“, here is the recording.

In case you missed my free webinar on “Getting Started with Spatial Data Analysis with R“, here is the recording.

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…

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…

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…

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…

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,…

We were very pleased to kick-off our new data science Meetup. Sean Najera, the organizer of the group, begun by going over the basics of Python as a data science tool along with how to use Github. If you are new to python for data analysis, here are some resources to get you started. First, download a distribution of Python if you do…

Recursive partitioning is a fundamental tool in data mining. It helps us explore the structure of a set of data, while developing easy to visualize decision rules for predicting a categorical (classification tree) or continuous (regression tree) outcome. Classification and regression trees can be generated through the rpart package.

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. We begun with an overview of prediction methods in R, and then discussed of some case studies of how R is being used for real world problems.

ggplot2 is a plotting system for R, based on the grammar of graphics by Hadley Wickham. ggplot2 tries to take the good parts of base and lattice graphics and none of the bad parts. As a contributor to the package, Dr. Dennis Murphy was able to paint a clear picture on how ggplot2 takes care of many of the fiddly details…

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 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…

In our first meetup, we were introduced to R as a data analysis tool. Dr. Dennis Murphy spent some time telling us about a brief history of R and then went into a brief introduction to using R for data analysis for the beginner. You can find slides for this meetup in our github repository or click here to launch the presentation.