四纪启悟 · 数据科学

(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) Guest post by Jonathan Sidi, Metrum Research Groupggplot2 has become the standard of plottin

(This article was first published on  Robin Lovelace - R, and kindly contributed toR-bloggers)     The 23rd iteration of the GIS Research UK conference (#GISRUK) conference was the largest ever.

(This article was first published on  Quantifying Memory, and kindly contributed toR-bloggers)       In this post I outline how count data may be modelled using a negative binomial distribut

The FT Data section of the Financial Times now has a neat interactive unemployment tracker (free but onerous registration required) that lets you explore employment rates and trends in EU member cou

(This article was first published on  rud.is » R, and kindly contributed toR-bloggers)     Rick Wicklin (@RickWicklin) made a recent post to the SAS blog onAn exploratory technique for visuali

aplavin        commented     on Dec 30, 2012        Often there is a need to select a datetime range or a single value, so such sliders would be very usable. yihui        comme

(This article was first published on  mages' blog, and kindly contributed toR-bloggers)     Occasionally I'd like to plot a table alongside a chart in R, e.g. to present summary statistics of th

(This article was first published on  What You're Doing Is Rather Desperate » R, and kindly contributed to R-bloggers)     Last week, Mick Watson posted a terrific article on using R to recrea

(This article was first published on  BNOSAC - Belgium Network of Open Source Analytical Consultants, and kindly contributed toR-bloggers)       For those of you who are interested in using R al

(This article was first published on  Plotly Blog, and kindly contributed toR-bloggers)     Many graphs use a time series, meaning they measure events over time. William Playfair (1759 - 182

(This article was first published on  ExploringDataBlog, and kindly contributed toR-bloggers)     The need to analyze time-series or other forms of streaming data arises frequently in many differe

(This article was first published on  My Data Atelier » R, and kindly contributed toR-bloggers)     Previously on this post, I introduced limitedly some features of the Shiny package. Howe

The guys at RStudio have done a fantastic job withshiny. It is really easy to build web apps withR using shiny. With the help of Joe Cheng from RStudio we figured out a way to makegoogleVis work

Last week I used grImport for the first time. I decided to try perform another exercise using it. The task was to add voivodeship division of Poland.Standard R maps do not contain such a division. I

In this post you will learn how to:Create your own quasi-shape filePlot your homemade quasi-shape file in ggplot2Add an external svg/ps graphic to a plotChange a grid grob's color and alpha*No

Want to use R to plot the means and compare differences between groups, but don’t know where to start? This post is for you.As usual, let’s start with a finished example:library(dplyr)library(ggp

This post will explain a data pipeline for plotting all (or selected types) of the variables in a data frame in a facetted plot. The goal is to be able to glean useful information about the distributi

Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualiz

In every statistical analysis, the first thing one should do is try and visualise the data before any modeling. In microarray studies, a common visualisation is a heatmap of gene expression data.I

According to wikipedia, the amount of unstructured data might account for more than 70%-80% of all data in organisations. Because everyone wants to find hidden treasures in these mountains of inform

In the conclusion of my post analyzing NYC taxi and Uber trips, I noted that Citi Bike, New York City’s bike share system, alsoreleases public data, totaling 22.2 million rides from July 2013 thro

October 29, 2015By Joshua Kunst(This article was first published on Jkunst - R category , and kindly contributed to R-bloggers)There are nice visualizations from ch

(This article was first published on  Revolutions, and kindly contributed toR-bloggers)     by Vidisha VachharajaniFreelance Statistical ConsultantR showcases several useful clustering too

(This article was first published on  Minding the Brain, and kindly contributed toR-bloggers)     A recent factor analysis project (as discussed previouslyhere, here, and here) gave me a

(This article was first published on  FishyOperations, and kindly contributed toR-bloggers)     I’ve always liked the jQuery Sparklines library and today I had a use case for implementing thes

One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following:I don’t know where to get started!Recently, I argued that R is th

We studied a very powerful approach for customer segmentation inthe previous post, which is based on the customer’s lifecycle. We used two metrics:frequency and recency. It is also possible and

I want to share a very powerful approach for customer segmentation in this post. It is based on customer’s lifecycle, specifically onfrequency and recency of purchases. The idea of using these metri

原文地址：diagram）：理论、技巧与经典案例分析" href="http://blog.sina.com.cn/s/blog_4a32ee3b0102duvw.html" target="_blank">浅谈桑基图（Sankey diagram）：理论、技巧与经典案例分析作者：图表汇diagram）：理论、技巧与经典案例分析" alt="[转载]浅谈桑基图（Sankey diagram

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such asd3 have made possible wonderful new ways to show data. Luckily the R community has been act

(some material originally by Daniel Rajdl 2006/03/31 15:26) Please note that there are very few situations where it is appropriate to use two different scales on the same plot. It is very easy to

Mosaics: About Mosiac DisplaysContentsTwo-way TablesThree-way TablesModels for Multi-way TablesAnimated demonstrationThe mosaic display, proposed by Hartigan & Kleiner (1981) and e

数据可视化的道路上充满了不可见的陷阱和迷宫，最近ClearStory Data的两位数据可视化开发人员分享了他们总结出来的数据可视化开发的7个不宣之秘，普通开发者了解这些方法能提升视野，少走弯路。数据可视化， 特别是基于Web的数据可视化的时代已经到来了。 类似JavaScript的可视化库如D3.js, Raphaël, 以及Paper.js, 以及最新浏览器所支持的如Canvas和SVG，

http://setosa.io/blog/2014/07/26/markov-chains/

December 16, 2014 by Sharp Sight Labs4 CommentsI love cars.The way they sound.  The engineering.  The craftsmanship.  And let’s be honest: fast cars are justfun.Given my love of cars, I

(This post is a continuation of analyzing ‘supercar’ data part 1, where we create a dataset using R’s dplyr package.  To learn how we created our dataset, please review that post.)  Data analy

(This article was first published on  Plotly, and kindly contributed toR-bloggers)     This post summarizes and visualizes eight key ideas we’ve heard from data visualization experts. Check out

As mentioned in FOSS Trading post A New plot.xts yesterday“The Google Summer of Code (2012) project to extend xts has produced a very promising new plot.xts function. Michael Weylandt, the p

前言r-bloggers的一篇博文，让我有动力继续发现xts的强大。xts扩展了zoo的基础数据结构，并提供了更丰富的功能函数。xtsExtra补充库，从可视化的角度出发，提供了一个简单而效果非凡的作图函数plot.xts。本文将用plot.xts来演示，xts对象的时间序列可视化！目录xtsExtra介绍xtsExtra安装plot.xts的使用1. xtsExtra介绍

Editor’s note: This is a guest post by Marianne Corvellec fromPlotly. This post is based on an interactive Notebook (click to view) she presented at the R User Conference on July 1st, 2014.Plo