3112 search results for "map"

RWE npower Forecasting Challenge (mind the amended e-mail)

January 26, 2015
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RWE npower Forecasting Challenge (mind the amended e-mail)

Lately I have been involved in organising forecasting competition for undergraduate students. The obvious goal is to find someone with forecasting power who would potentially be interested in internship or graduate scheme. Recently, I asked a few people from quant and forecasting teams to try the task out in order to validate the data and get some opinions about...

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Building [Security] Dashboards w/R & Shiny + shinydashboard

January 24, 2015
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Building [Security] Dashboards w/R & Shiny + shinydashboard

Jay & I cover dashboards in Chapter 10 of Data-Driven Security (the book) but have barely mentioned them on the blog. That’s about to change with a new series on building dashboards using the all-new shinydashboard framework developed by RStudio. While we won’t duplicate the full content from the book, we will show different types of...

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A first look at Spark

January 22, 2015
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A first look at Spark

by Joseph Rickert Apache Spark, the open-source, cluster computing framework originally developed in the AMPLab at UC Berkeley and now championed by Databricks is rapidly moving from the bleeding edge of data science to the mainstream. Interest in Spark, demand for training and overall hype is on a trajectory to match the frenzy surrounding Hadoop in recent years. Next...

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Practical introduction to Shiny – workshop write-up

January 21, 2015
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Practical introduction to Shiny – workshop write-up

I recently delivered a workshop on a practical introduction to shiny, an R package that enables development, testing and deployment of interactive web applications. Delivered at the University of Sydney’s Institute for Transport and Logistics Studies (ITLS), it was designed for people who are a) fairly new to R (which can seem intimidating) and b) completely new to shiny. This article provides resources for...

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An Introduction to Change Points (packages: ecp and BreakoutDetection)

January 21, 2015
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An Introduction to Change Points (packages: ecp and BreakoutDetection)

A forewarning, this post is me going out on a limb, to say the least. In fact, it’s a post/project … Continue reading →

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Simple Data Science Of Global Warming In KDnuggets

January 20, 2015
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Simple Data Science Of Global Warming In KDnuggets

Would love to get a post from you for KDnuggets (Gregory Piatetsky, KDnuggets President) Some days ago, Gregory Piatetsky invited me to write a post for KDnuggets. I couldn’t say no. He suggested to me some topics and I decided to experiment around climate change to demonstrate how easy is to see some evidences of … Continue reading...

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Welcoming C++14

January 19, 2015
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Since last CRAN release of Rcpp11, I've started to work on the next iteration of R/C++ support with Rcpp14 by propagating changes to both implementations, e.g. the Strict class that I mentionned in this post. But now, I'm starting to make unique chan...

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How to Predict Where Will Next Disaster Strike?

January 18, 2015
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How to Predict Where Will Next Disaster Strike?

It is amusing coincidence that another MOOC that I took this week (Geospatial Intelligence & the Geospatial revolution) mentioned disasters. About the other course see my recent Disasters: Myth or the Reality post.In Geospatial Intelligence they gave a weird assignment: one need to mark the location on the world map where...

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New updates to the rNOMADS package and big changes in the GFS model

January 16, 2015
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New updates to the rNOMADS package and big changes in the GFS model

I rolled out a big update to the rNOMADS package in R about two weeks ago.  Now, the list of real time weather, ocean, and sea ice models available through rNOMADS updates automatically by scraping the NOMADS web site.  This way, changes in model inventories will be instantly reflected in rNOMADS without the need for

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Drug Crime Density in Boston

January 15, 2015
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Drug Crime Density in Boston

The original map can be found in my previous post, Spatial Data Visualization with R. As a review, I use get_map function in the ggmap package to grab a map of Boston from Google Maps. The “crime report” data can be found at https://data.cityofboston.gov/. In the code below, I bring in crime data as a csv file. The data … Continue reading...

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