3282 search results for "MAP"

Make your ggplots shareable, collaborative, and with D3

April 17, 2014
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Make your ggplots shareable, collaborative, and with D3

Editor's note: This is a guest post from Matt Sundquist form the Plot.ly team. You can access the source code for this post at https://gist.github.com/sckott/10991885 Ggplotly and Plotly's R API let you make ggplot2 plots, add py$ggplotly(), and make your plots interactive, online, and drawn with D3. Let's make some. 1. Getting Started and Examples Here is Fisher's iris...

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Using R — Working with Geospatial Data (and ggplot2)

April 16, 2014
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Using R — Working with Geospatial Data (and ggplot2)

This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really …   read more ...

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Errors on percentage errors

April 16, 2014
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Errors on percentage errors

The MAPE (mean absolute percentage error) is a popular measure for forecast accuracy and is defined as     where denotes an observation and denotes its forecast, and the mean is taken over . Armstrong (1985, p.348) was the first (to my knowledge) to point out the asymmetry of the MAPE saying that “it has a bias favoring estimates...

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Impact of Dimensionality on Data in Pictures

April 16, 2014
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Impact of Dimensionality on Data in Pictures

I am excited to announce that this is supposed to be my first article published also on r-bloggers.com :) The processing of data needs to take dimensionality into account as usual metrics change their behaviour in subtle ways, which impacts the … Continue reading → The post Impact of Dimensionality on Data in Pictures appeared first on

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Exploring US healthcare data

April 13, 2014
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A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11...

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Survey: Computing Your Own Post-Stratification Weights in R

April 13, 2014
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Social Science Goes R: Weighted Survey Data Survey Data: Computing Your Own Weights The second installment in my series on working with survey data in R explains how to compute your own post-stratification weights to use with survey data. For a more...

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Exploring US Healthcare data

April 13, 2014
By

A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11...

Read more »

Earthquakes: Land / Ocean Distribution

April 13, 2014
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Earthquakes: Land / Ocean Distribution

The next stage in my earthquake analysis project is to partition the events into groups with epicentre over land or water. Since our existing catalog contains the latitude and longitude for the epicentres, it was a relatively simple matter to pipe these into gmtselect and label the events accordingly. The resulting data when sucked into

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GeoCoding, R, and The Rolling Stones – Part 1

April 12, 2014
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GeoCoding, R, and The Rolling Stones – Part 1

Originally posted on Rolling Your Rs:In this article I discuss a general approach for Geocoding a location from within R, processing XML reports, and using R packages to create interactive maps. There are various ways to accomplish this, though using Google’s GeoCoding service is a good place to start. We’ll also talk a bit…

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GeoCoding, R, and The Rolling Stones – Part 1

April 12, 2014
By
GeoCoding, R, and The Rolling Stones – Part 1

Originally posted on Rolling Your Rs:In this article I discuss a general approach for Geocoding a location from within R, processing XML reports, and using R packages to create interactive maps. There are various ways to accomplish this, though using Google’s GeoCoding service is a good place to start. We’ll also talk a bit…

Read more »

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