856 search results for "SQL"

In case you missed it: August 2015 roundup

September 14, 2015
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In case you missed them, here are some articles from August of particular interest to R users. Creating interactive time series charts of financial data in R. Many R books have been translated into Chinese. A tutorial on visualizing current-events geographic data with choropleths. Revolution R Enterprise 7.4.1 is now available on Windows and Linux servers and in the...

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Sampling distribution of Gini coefficient

September 11, 2015
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Sampling distribution of Gini coefficient

Inequality measures Part of my motivation for importing the New Zealand Income Survey(NZIS) simulated unit record file provided by Statistics New Zealand was to explore the characteristics of various measures of inequality. In particular, I’m interested in what happens to the sampling distributions as sample size changes of the following summary statistics: Gini coefficient (ie the area between...

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Transforming the breaks to match a scale

September 6, 2015
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Transforming the breaks to match a scale

Something missing In my last post I developed a new scale transformation for R using the approach and platform from the {ggplot2} and {scales}. I implemented a method proposed in 1980 by John and Draper that does some of the job of a logarithmic transform in reducing the dominance on the page of the large values, but is also...

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Creating a scale transformation

September 4, 2015
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Creating a scale transformation

A better transformation than my better transformation In an earlier post I put forward the idea of a modulus power transform - basically the square root (or other similar power transformation) of the absolute value of a variable like income, followed by restoring the sign to it. The idea is to avoid throwing away values of zero or...

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Free R Help

September 3, 2015
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Free R Help

Today I am giving away 10 sessions of free, online, one-on-one R help. My hope is to get a better understanding of how my readers use R, and the issues they face when working on their own projects. The sessions will be over the next two weeks, online and 30-60 minutes each. I just purchased Screenhero, The post

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Revolution R Enterprise Now Available in the Cloud on Azure Marketplace

August 31, 2015
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by Richard Kittler, Revolution R Enterprise PM, Microsoft Advanced Analytics Revolution is excited to announce the availability of its latest release of Revolution R Enterprise 7.4.1 (RRE) as a technical preview on Microsoft Azure via Windows- and Linux-based virtual machines in the Azure Marketplace. Through Azure’s world-wide cloud infrastructure customers now have on-demand access to high-performance predictive analytics to...

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Getting started in applied statistics / datascience

August 29, 2015
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Getting started in applied statistics / datascience

Where to start to start? I was recently asked by a colleague manager from another organisation what direction they could give to a staff member interested in building skills in the whole “big data” thing. A search of the web shows hundreds if not thousands of sites and blog posts aimed at budding data scientists, but most of them...

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Most popular R packages and R package dependency visualization.

August 26, 2015
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Most popular R packages and R package dependency visualization.

Author and Project: – Author: XAVIER CAPDEPON – Xavier was a student of the Data Science Bootcamp#2 (B002) – Data Science, Data Mining and Machine Learning –

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A better way of visualising income distributions with zeroes and negatives

August 20, 2015
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A better way of visualising income distributions with zeroes and negatives

I wasn’t happy with my visualisation of individual incomes from the New Zealand income survey. Because it used a logarithmic scale to improve readability, in effect all zero and negative values are excluded from the data. Whenever I throw out data, my tail goes bushy… there has to be a better way. Those zero and...

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Importing Data Into R – Part Two

August 18, 2015
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Importing Data Into R – Part Two

In this follow-up tutorial of This R Data Import Tutorial Is Everything You Need-Part One, DataCamp continues with its comprehensive, yet easy tutorial to quickly import data into R, going from simple, flat text files to the more advanced SPSS and SAS files. As a lot of our readers noticed correctly from the first post, The post

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