1663 search results for "tutorial"

Top 77 R posts for 2014 (+R jobs)

January 7, 2015
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Top 77 R posts for 2014 (+R jobs)

R-bloggers.com is 5 years old this month! In celebration, this post share links to the top 77 most read R posts of 2014 (+stats on R-bloggers, + top R jobs for the beginning of 2015)

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Run scoring trends: using Shiny to create dynamic charts and tables in R

January 7, 2015
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Or, Retracing my stepsAs I’ve been learning the functionality of Shiny, the web app for R, I have used the helpful tutorials available from the developers at RStudio. At some point, though, one needs to break out and develop one’s own application.  My Shiny app “MLB run scoring trends” can be found at (

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Mapping Seattle Crime

January 6, 2015
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Mapping Seattle Crime

Last week I published a data visualization of San Francisco crime. This week, I’m mapping Seattle crime data. The map above is moderately complicated to create, so I’ll start this tutorial with a simpler case: the dot distribution map. Seattle crime map, simplified version First, we’ll start by loading the data. Note that I already The post

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The Top 7 Beautiful Data Blog Posts in 2014

January 3, 2015
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2014 was a great year in data science – and also an exciting year for me personally from a very inspirational Strata Conference in Santa Clara to a wonderful experience of speaking at PyData Berlin to founding the data visualization company DataLion. But it also was a great year blogging about data science. Here’s the

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Locality Sensitive Hashing In R Part 1

January 1, 2015
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Introduction In the next series of posts I will try to explain base concepts Locality Sensitive Hashing technique. Note, that I will try to follow general functional programming style. So I will use R’s Higher-Order Functions instead of traditional R’s *apply functions family (I suppose this post will be more readable for non R users). Also I will use brilliant...

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Locality Sensitive Hashing in R

January 1, 2015
By

Introduction In the next series of posts I will try to explain base concepts Locality Sensitive Hashing technique. Note, that I will try to follow general functional programming style. So I will use R’s Higher-Order Functions instead of traditional R’s *apply functions family (I suppose this post will be more readable for non R users). Also I will use brilliant...

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Plot with ggplot2 and plotly within knitr reports

December 30, 2014
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Plot with ggplot2 and plotly within knitr reports

Plotly is a platform for making, editing, and sharing graphs. If you are used to making plots with ggplot2, you can call ggplotly() to make your plots interactive, web-based, and collaborative. For example, see plot.ly/~marianne2/166, shown below. Notice the hover text! The “plotly” R package lets you use plotly with R. Want to...

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Mapping San Francisco crime

December 30, 2014
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Mapping San Francisco crime

When I was working as a data scientist at Apple in Silicon Valley, I’d drive up to San Francisco on nights and weekends to meet a girl for dinner or go to a meetup. I sort of fell in love with the city, and ... The post Mapping San Francisco crime appeared first on SHARP SIGHT LABS.

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Christmas release: ggRandomForests V1.1.2

December 28, 2014
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Christmas release: ggRandomForests V1.1.2

I’ve posted a new release of the ggRandomForests: Visually Exploring Random Forests to CRAN at (http://cran.r-project.org/package=ggRandomForests) The biggest news is the inclusion of some holiday reading – a ggRandomForests package vignette! ggRandomForests: Visually Exploring a Random Forest for Regression The vignette… Continue reading →

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Time Stacking and Time Slicing in R

December 24, 2014
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Time Stacking and Time Slicing in R

Time lapses are a fun way to quickly show a long period of time. They typically involve setting up your camera on a tripod and taking photos at a regular interval, like every 5 seconds. After all the photos have been taken, they are combined into a mov...

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