1877 search results for "tutorial"

The Top 7 Beautiful Data Blog Posts in 2014

January 3, 2015
By

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
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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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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Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2)

December 23, 2014
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Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2)

For our purposes here, data exploration is the application of data visualization and data manipulation techniques to understand the properties of our dataset. We’re going to be looking for interesting features: things that stand out, trends, and relationships between variables. The post Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2) appeared first on

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Statistical Analysis and Data Mining hot on LinkedIn for 2014

December 19, 2014
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Statistical Analysis and Data Mining are considered the hottest skills on LinkedIn for 2014.  According to their report from analyzing jobs and recruiters on the LinkedIn website.  I would say its safe to say that it will continue to be ...

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A list of awesome statistics resources in 2014

December 19, 2014
By

Johns Hopkins Biostatistics Professor (and presenter of Data Analysis at Coursera) Jeff Leek has published his list of awesome things other people did in 2014. It's well worth following the links in his 38 entries, where you'll find a wealth of useful resources in teaching, statistics, data science, and data visualization. Many of the entries are related to R,...

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