867 search results for "sql"

Importing the New Zealand Income Survey SURF

August 14, 2015
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Importing the New Zealand Income Survey SURF

The quest for income microdata For a separate project, I've been looking for source data on income and wealth inequality. Not aggregate data like Gini coefficients or the percentage of income earned by the bottom 20% or top 1%, but the sources used to calculate those things. Because it's sensitve personal financial data either from surveys or tax...

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Visualizing bdsns data using bdvis

August 12, 2015
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Visualizing bdsns data using bdvis

One of the tasks in my Google Summer of Code 2015 was to integrate new package bdsns with existing package bdvis to identify strengths and gaps in the data. This can be achieved with few simple steps. Begin with opening both libraries Get data for few species of butterflies using bdsns package from Flickr and

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In case you missed it: July 2015 roundup

August 10, 2015
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In case you missed them, here are some articles from July of particular interest to R users. An alternative to stacked bar charts with the streamgraphs package. Joseph Rickert shares his process for creating the monthly new and updated packages "spotlight" feature on MRAN. Using R to analyze data from its API reveals R to be the 8th most...

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Turning your R (or Python) models into APIs

August 9, 2015
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Turning your R (or Python) models into APIs

More and more real-world systems are relying on data science and analytical models to deliver sophisticated functionality or improved user experiences. For example, Microsoft combined the power of advanced predictive models and web services to develop the real-time voice translation feature in Skype. Facebook and Google continuously improve their deep learning models for...

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Getting Started: Adobe Analytics Clickstream Data Feed

August 4, 2015
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Getting Started: Adobe Analytics Clickstream Data Feed

“Well, first you need a TMS and a three-tiered data layer, then some jQuery with a node backend to inject customer data into the page asynchronously if you want to avoid cookie-based limitations with cross-domain tracking and be Internet Explorer 4 compatible…” Blah Blah Blah. There’s a whole cottage industry around jargon-ing each other to

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New package "dplyrr" – Utilities for comfortable use of dplyr with databases

August 4, 2015
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1. Overview dplyr is the most powerful package for data handling in R, and it has also the ability of working with databases(See Vignette). But the functionalities of dealing with databases in dplyr is developing yet. Now, I'm trying to make dplyr with databases more comfortable by using some functions. For that purpose, I've created dplyrr...

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Efficient Accumulation in R

July 28, 2015
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Efficient Accumulation in R

by John MountData Scientist, Win-Vector LLC R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, RevoScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The...

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Efficient accumulation in R

July 27, 2015
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Efficient accumulation in R

R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, ScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The R execution model is a bit exotic so many R users are very uncertain which methods of accumulating results are … Continue reading...

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Turning your R (or Python) models into APIs

July 26, 2015
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Turning your R (or Python) models into APIs

More and more real-world systems are relying on data science and analytical models to deliver sophisticated functionality or improved user experiences. For example, Microsoft combined the power of advanced predictive models and web services to develop the real-time voice translation feature in Skype. Facebook and Google continuously improve their deep learning models for...

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Installing and Starting SparkR Locally on Windows OS and RStudio

July 26, 2015
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Installing and Starting SparkR Locally on Windows OS and RStudio

Introduction With the recent release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows…

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