881 search results for "sql"

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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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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