2946 search results for "ggplot"

Five Interactive R Visualizations With D3, ggplot2, & RStudio

August 24, 2015
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Five Interactive R Visualizations With D3, ggplot2, & RStudio

Plotly has a new R API and ggplot2 library for making beautiful graphs. The API lets you produce interactive D3.js graphs with R. This post has five examples. Head to our docs to get a key and you can start making, embedding, and sharing plots. The code below produces our first plot. library(plotly) set.seed(100) d <- diamonds plot_ly(d, x = carat,

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Spaghetti plots with ggplot2 and ggvis

August 19, 2015
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Spaghetti plots with ggplot2 and ggvis

This post was motivated by this article that discusses the graphics and statistical analysis for a two treatment, two period, two sequence (2x2x2) crossover drug interaction study of a new drug versus the standard. I wanted to write about implementing those graphics and the statistical analysis in R. This post is devoted to the different

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Spaghetti plots with ggplot2 and ggvis

August 19, 2015
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Spaghetti plots with ggplot2 and ggvis

This post was motivated by this article that discusses the graphics and statistical analysis for a two treatment, two period, two sequence (2x2x2) crossover drug interaction study of a new drug versus the standard. I wanted to write about implementing those graphics and the statistical analysis in R. This post is devoted to the different

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Visualising thefts using heatmaps in ggplot2

August 17, 2015
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Visualising thefts using heatmaps in ggplot2

This is a continuation of my previous article, where I gave a basic overview of how to construct heatmaps in R. Here, I will show you how to use R packages to build a heatmap on top of the map of Chicago to see which areas have the most amount of crime. We will require

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Making Static/Interactive Voronoi Map Layers In ggplot/leaflet

July 26, 2015
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Making Static/Interactive Voronoi Map Layers In ggplot/leaflet

Despite having shown various ways to overcome D3 cartographic envy, there are always more examples that can cause the green monster to rear it’s ugly head. Take the Voronoi Arc Map example. For those in need of a primer, a Voronoi tesslation/diagram is: …a partitioning of a plane into regions based on distance to points

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A Path Towards Easier Map Projection Machinations with ggplot2

July 24, 2015
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A Path Towards Easier Map Projection Machinations with ggplot2

The $DAYJOB doesn’t afford much opportunity to work with cartographic datasets, but I really like maps and tinker with shapefiles and geo-data when I can, plus answer a ton of geo-questions on StackOverflow. R makes it easy—one might even say too easy—to work with maps. All it takes to make a map of the continental

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This is one of my favorite ggplot2 plots I’ve ever made, but it…

July 21, 2015
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This is one of my favorite ggplot2 plots I’ve ever made, but it…

This is one of my favorite ggplot2 plots I’ve ever made, but it makes me sad. Can you deduce what this plot conveys? Explain the sporadically dashed colored horizontal bands. Explain the red vertical bars. Explain the black vertical bars. If you answer all three correctly, and you can explain the rest of the plot, I’ll give you the code.

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Line plots of longitudinal summary data in R using ggplot2

July 9, 2015
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Line plots of longitudinal summary data in R using ggplot2

I recently had an email for a colleague asking me to make a figure like this in ggplot2 or trellis in R: As I know more about how to do things in ggplot2, I chose to use that package (if it wasn't obvious from the plot or other posts). Starting Point Cookbook R/) has a

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Line plots of longitudinal summary data in R using ggplot2

July 9, 2015
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Line plots of longitudinal summary data in R using ggplot2

I recently had an email for a colleague asking me to make a figure like this in ggplot2 or trellis in R: As I know more about how to do things in ggplot2, I chose to use that package (if it wasn't obvious from the plot or other posts). Starting Point Cookbook R/) has a

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Faceted “World Population by Income” Choropleths in ggplot

July 9, 2015
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Faceted “World Population by Income” Choropleths in ggplot

Poynter did a nice interactive piece on world population by income (i.e. “How Many Live on How Much, and Where”). I’m always on the lookout for optimized shapefiles and clean data (I’m teaching a data science certificate program starting this Fall) and the speed of the site load and the easy availability of the data

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