Posts Tagged ‘ visualization ’

WVPlots now at version 1.0.0 on CRAN!

May 26, 2018
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WVPlots now at version 1.0.0 on CRAN!

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 visualization. We are excited to announce the WVPlots is now at version 1.0.0 on CRAN! The idea is: we sacrifice some of … Continue reading WVPlots now at version 1.0.0 on CRAN!

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Using EvilPlot with scala-view

May 11, 2018
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Using EvilPlot with scala-view

EvilPlot EvilPlot is a new functional data visualisation library for Scala. Although there are several data viz libraries for Scala, this new library has a nice functional API for producing attractive, flexible, compositional plots which can be rendered in JVM applications and in web applications (via Scala.js). For a quick introduction, see this blog post … Continue reading Using EvilPlot with scala-view

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Math Notation for R Plot Titles: expression, bquote, & Greek Letters

March 15, 2018
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Math Notation for R Plot Titles: expression, bquote, & Greek Letters

In this post you will learn: How to create expressions that have mixed (1) strings, (2) expressions, (3) variables & (4) Greek letters How to pass in values as variables to an expression I wanted to name this post “Ahhhhhhhhhhh #$@%&!!!!” … Continue reading →

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Interactive visualizations of sampling and GP regression

December 9, 2017
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You really don’t want to miss Chi Feng‘s absolutely wonderful interactive demos. (1) Markov chain Monte Carlo sampling I believe this is exactly what Andrew was asking for a few Stan meetings ago: Chi Feng’s Interactive MCMC Sampling Visualizer This tool lets you explore a range of sampling algorithms including random-walk Metropolis, Hamiltonian Monte Carlo, […] The post Interactive visualizations of sampling and GP regression appeared first on Statistical Modeling,…

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Visualizing classifier thresholds

November 13, 2017
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Visualizing classifier thresholds

Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this, but communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions can be challenging. One of the important conceptual pieces […]

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Ordering Categories within ggplot2 Facets

December 23, 2016
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Ordering Categories within ggplot2 Facets

I saw Simon Jackson’s recent blog post regarding ordering categories within facets. He proposed a way of dealing with the problem of ordering variables shared across facets within facets. This problem becomes apparent in text analysis where words are shared … Continue reading →

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Reading a Picture

November 30, 2016
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Reading a Picture

Visual storytelling Visualising data helps understanding facts. Sometimes it’s very easy to understand a graph; sometimes it’s necessary to read it and to study it to discover unknown territory. Such graphs are little masterpieces. Here’s one of these and I am sure the authors had more than one iteration and discussion while creating it. The […]

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That’s like so random! Monte Carlo for Data Science

July 14, 2016
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Another great turnout at the DataPhilly meetup last night. Was great to see all you random data nerds! Code snippets to generate animated examples here.

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How do I re-arrange??: Ordering a plot re-revisited

March 3, 2016
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How do I re-arrange??: Ordering a plot re-revisited

Several years back I wrote a two part blog series in response to seeing questions about plotting and reordering on list serves, talkstats.com, and stackoverflow.  Part I discussed the basics of reordering plots by reordering factor levels.  The essential gist was: … Continue reading →

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Repel overlapping text labels in ggplot2

January 8, 2016
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Repel overlapping text labels in ggplot2

A while back I showed you how to make volcano plots in base R for visualizing gene expression results. This is just one of many genome-scale plots where you might want to show all individual results but highlight or call out important results by labeli...

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