R for Journalists
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R for Journalists
Tools for using and learning R, mostly for computational and data journalists, but everyone's welcome!
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Forecasting: principles and practice: Rob J Hyndman, George Athanasopoulos: 9780987507105: Amazon.com: Books

Forecasting: principles and practice

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Forecasting: principles and practice [Rob J Hyndman, George Athanasopoulos] on Amazon.com. *FREE* shipping on qualifying offers. Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved
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Decisions and R: Play 2048... using R!

Decisions and R: Play 2048... using R! | R for Journalists | Scoop.it
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More or Less Numbers: The Current Golden Era of the NBA

More or Less Numbers: The Current Golden Era of the NBA | R for Journalists | Scoop.it
NBA, R, MVP, basketball
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Diving into H2O

by Joseph Rickert One of the remarkable features of the R language is its adaptability. Motivated by R’s popularity and helped by R’s expressive power and transparency developers working on other platforms display what looks like inexhaustible creativity in providing seamless interfaces to software that complements R’s strengths. The H2O R package that connects to 0xdata’s H2O software (Apache 2.0 License) is an example of this kind of creativity. According to the 0xdata website, H2O is “The Open Source In-Memory, Prediction Engine for Big Data Science”. Indeed, H2O offers an impressive array of machine learning algorithms. The H2O R package...
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Noam Ross | Vectorization in R: Why?

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Using R — Working with Geospatial Data (and ggplot2) | Working With Data

Using R — Working with Geospatial Data (and ggplot2) | Working With Data | R for Journalists | Scoop.it
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Hurricane and Typhoon Risk Model

Hurricane and Typhoon Risk Model | R for Journalists | Scoop.it
Simulate losses due to hurricanes in the US and typhoons in Asia under a widely variable set of input parameters.
Author: Dag Lohmann
App: http://www.katalyser.com/
Code: none
Documentation: none
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mages' blog: googleVis 0.5.1 released on CRAN

mages' blog: googleVis 0.5.1 released on CRAN | R for Journalists | Scoop.it
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How to Give an Applied Micro Talk - Jesse M. Shapiro

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Earthquakes: Land / Ocean Distribution

Earthquakes: Land / Ocean Distribution | R for Journalists | Scoop.it
The next stage in my earthquake analysis project is to partition the events into groups with epicentre over land or water.
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GeoCoding, R, and The Rolling Stones - Part 1

GeoCoding, R, and The Rolling Stones - Part 1 | R for Journalists | Scoop.it
Reblogged on WordPress.com
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Roctopress: Configure Your Octopress Blog for R - A Statistics Blog

Roctopress: Configure Your Octopress Blog for R - A Statistics Blog | R for Journalists | Scoop.it
Introduction Directory House-Keeping From R Markdown to Markdown From R Markdown to HTML Considerations of Style Producing a Post Creating a Topics …
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My Life as a Mock Quant in English: Visualize violent crime rates in the US with choroplethr package

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OpenCPU - OpenCPU release 1.3 and 1.4

OpenCPU - OpenCPU release 1.3 and 1.4 | R for Journalists | Scoop.it
After a few months of testing we present OpenCPU versions 1.3 and 1.4. These releases do not introduce any major changes in the OpenCPU HTTP API but focus entirely on performance, reliability and security to support long running servers.
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Using Gitbook with R Markdown

Using Gitbook with R Markdown | R for Journalists | Scoop.it
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MATHEMATICS IN MEDICINE: Publishing in GitHub

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How Fast the Fastest Human Would Run 100m?

How Fast the Fastest Human Would Run 100m? | R for Journalists | Scoop.it
Ethan Siegel wrote a post entitled The Math of the Fastest Human Alive five years ago, using regressions.
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Using R — Working with Geospatial Data | Working With Data

Using R — Working with Geospatial Data | Working With Data | R for Journalists | Scoop.it
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Modeling Data With Functional Programming In R – Chapter 1

Modeling Data With Functional Programming In R – Chapter 1 | R for Journalists | Scoop.it
I’m pleased to announce that a rewrite of my first chapter of “Modeling Data With Functional Programming In R” is available in draft format. Most of the feedback of the previous version centered around accessibility and practicality of the material.
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Climate Data Visualizations — Medium

Climate Data Visualizations — Medium | R for Journalists | Scoop.it
Intro

I’m really excited about being asked to process the latest release of climate data for the World Bank!
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Video: Mining Tweets with R

This post shares the video from the talk presented in 2014 by Eu Jin Lok on mining tweets with R presented at Melbourne R Users.
Twitter is currently ranked in the top 10 for most-visited website, and averaging 500 million tweets a day.
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Robin Lovelace - Regular expressions in R vs RStudio

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Econometrics Beat: Dave Giles' Blog: Open Science Through R

Econometrics Beat: Dave Giles' Blog: Open Science Through R | R for Journalists | Scoop.it
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Modifying and Querying a PITCHf/x database with dplyr

Modifying and Querying a PITCHf/x database with dplyr | R for Journalists | Scoop.it
In my last post, we got up and running with a PITCHf/x database. This time, I’ll share some thoughts on querying this database. I am by no means a database expert, so please share ideas for improve...
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everyday analytics: Heatmap of Toronto Traffic Signals using RGoogleMaps

everyday analytics: Heatmap of Toronto Traffic Signals using RGoogleMaps | R for Journalists | Scoop.it
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Fortran and R - Speed Things Up

Fortran and R - Speed Things Up | R for Journalists | Scoop.it
If you are a newcomer to R then you are probably quite busy learning the semantics of the language as you experiment with the apply family of commands or come up to speed on the grouping and condit...
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