2148 search results for "ggplot2"

How to choose a new business location with R

August 6, 2013
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How to choose a new business location with R

This guest post is by Rodolfo Vanzini. Rodolfo is senior partner at eXponential.it — an asset management consultancy based in Italy — and advises clients on investment management issues. He taught at the University of Siena and is an analytics professional. With an economist education and a financial markets expertise four years ago I thought I couldn't be of...

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How Much Should Bale Cost Real?

August 5, 2013
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How Much Should Bale Cost Real?

It looks increasingly likely that Gareth Bale will transfer from Tottenham to Real Madrid for a world record transfer fee. Negotiations are ongoing, with both parties keen to get the best deal possible deal with the transfer fee. Reports speculate that this transfer fee will be anywhere in the very wide range of £80m to

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 2: Classification Approach and Spectre Profile Creation

August 3, 2013
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 2: Classification Approach and Spectre Profile Creation

IntroductionThis is the second part of my post series related to hyper-spectral and LiDAR imagery using R. See other parts: Part 1: Result Evaluation. In this part I will describe my general approach to classification process and then I will show you how to create cool spectral response plots like this:

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The tenure of Doctor Who incarnations

August 3, 2013
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The tenure of Doctor Who incarnations

With a new actor being announced tomorrow, it got me pondering about the good Doctor. Specifically, who is the longest serving doctor? IMDB has the data: Let’s plot it to see how it changes over time. There was a definite shift after Tom Baker towards a shorter term as the doctor. In terms of screen

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A Chart of Recent Comrades Marathon Winners

July 30, 2013
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A Chart of Recent Comrades Marathon Winners

Continuing on my quest to document the Comrades Marathon results, today I have put together a chart showing the winners of both the men and ladies races since 1980. Click on the image below to see a larger version. The analysis started off with the same data set that I was working with before, from

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Visualizing Book Sentiments

July 30, 2013
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Visualizing Book Sentiments

Sentiment analysis of social media content has become pretty popular of late, and a few days ago, as I lay in bed, I wondered if we could do the same thing to books - and see how sentiments vary through the story.The answer, of course, was that yes, we could. And if you’d rather just...

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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

July 28, 2013
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Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

Introduction There was the EEEI Data Fusion Contest this spring. This year they wanted people to elaborate about hyper-spectral (142-bands imagery) and LiDAR data. The resolution of the data-set was about 5 m.  There were 2 nominations: best classification and  the best scientific paper.  I work with high-resolution imagery quite often, but classification is a very rear task for me...

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SAP HANA OData and R

SAP HANA OData and R

As you might have discovered by now...I love R...it's just an amazing programming language...By now...I have integrate R and SAP HANA via ODBC and via the SAP HANA-R integration...but I have completely left out the SAP HANA OData capabilities.For this ...

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Architect 0.9.3

July 26, 2013
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Architect 0.9.3

Friday 26 July 2013 - 13:35 Architect is an Eclipse-based cross-platform IDE for R packed with features for advanced R users. Need convincing? Let's take a look at some of Architect's most popular features. Visual Debugger Architect comes eq...

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Making infographics using R and Inkscape

July 24, 2013
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Making infographics using R and Inkscape

I have been making charts with R for almost as long as I have been using R, and with good reason: R is an amazing tool for filtering and visualizing data. With R, and particularly if we use the excellent ggplot2 library, we can go from raw data to compelling visualization in minutes. But what if we want...

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