883 search results for "SQL"

A new gitbook – learnR

May 30, 2014
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Gitbook is rather a relatively new concept on the web. It provides a user-friendly framework for authors to write and produce online books with beautiful illustrations and responsive interactions. It allows authors to write in Markdown syntax, which is very easy to learn and use, so that they can focus more on the contents they try to...

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The Purchase Funnel Survives the Consumer Decision Journey

May 19, 2014
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The Purchase Funnel Survives the Consumer Decision Journey

The journey metaphor is almost irresistible. All one needs is a starting point and a finish line, plus some notion of progression. Thus, life is a journey, and so is love. Why not apply the metaphor to your next purchase? McKinsey & Company takes s...

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R is short for SSIS

May 18, 2014
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R is Short for SSIS Data scientists often identify a need to join data from different, unlinked servers. One standard tool for accomplishing this is an SSIS package to consolidate the data onto one of the servers. For the analyst who wants to...

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Dining in San Francisco – Let R Guide You

May 6, 2014
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Dining in San Francisco – Let R Guide You

I’m frequently asked by newcomers to R to provide an easy to follow generic set of instructions on how to download data, transform it, aggregate it, make graphs, and write it all up for publication in a high impact journal – all by the end of the day ! While such a request is somewhat

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analyze the censo demografico no brasil (censo) with r and monetdb

May 6, 2014
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almost a century older than its own capital city, the decennial censo demografico no brasil (censo) forms the basis of every major survey product in the country.  the pesquisa nacional por amostra de domicilios (pnad), the pesquisa de orcamentos f...

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A bit of the agenda of Practical Data Science with R

May 1, 2014
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A bit of the agenda of Practical Data Science with R

The goal of Zumel/Mount: Practical Data Science with R is to teach, through guided practice, the skills of a data scientist. We define a data scientist as the person who organizes client input, data, infrastructure, statistics, mathematics and machine learning to deploy useful predictive models into production. Our plan to teach is to: Order the Related posts:

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Making Better DNS TXT Record Lookups With Rcpp

April 25, 2014
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Technically this is Part 2 of Firewall-busting ASN-lookups. However, I said (in Part 1) that Part 2 would be about making a vectorized version and this is absolutely not about that. Rather than fib, I merely misdirect. Moving on… As you can see in Part 1, we have to resort to a system() call to do the TXT record lookup...

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Bandit Formulations for A/B Tests: Some Intuition

April 24, 2014
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Bandit Formulations for A/B Tests: Some Intuition

Controlled experiments embody the best scientific design for establishing a causal relationship between changes and their influence on user-observable behavior. – Kohavi, Henne, Sommerfeld, “Practical Guide to Controlled Experiments on the Web” (2007) A/B tests are one of the simplest ways of running controlled experiments to evaluate the efficacy of a proposed improvement (a new Related posts:

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Preventing escaping in HTML

April 24, 2014
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Preventing escaping in HTML Preventing escaping in HTML library(xtable) ## ## Attaching package: 'xtable'## ## The following objects are masked from 'package:Hmisc':## ## label, label<- library(stringr)library(whisker) Problem statementBeing a novice in R language, the problem I faced maight be a novice one,...

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Mythbusting – Dr. Copper

April 21, 2014
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Mythbusting – Dr. Copper

Image by Justin Reznick   “An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today.” Laurence J. Peter (author and creator of the Peter Principle) If you were paying attention to financial sites last month, you probably noticed a number of articles on “Dr. Copper”. Here is

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