276 search results for "heatmap"

shinyHeatmaply – a shiny app for creating interactive cluster heatmaps

March 28, 2017
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shinyHeatmaply – a shiny app for creating interactive cluster heatmaps

My friend Jonathan Sidi and I (Tal Galili) are pleased to announce the release of shinyHeatmaply (0.1.0): a new Shiny application (and Shiny gadget) for creating interactive cluster heatmaps. shinyHeatmaply is based on the heatmaply R package which strives to make it easy as possible to create interactive cluster heatmaps. The app introduces a functionality that saves to disk a self … Continue...

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It seems dplyr is overtaking correlation heatmaps

March 8, 2017
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It seems dplyr is overtaking correlation heatmaps

(… on my blog, that is.) For a long time, my correlation heatmap with ggplot2 was the most viewed post on this blog. It still leads the overall top list, but by far the most searched and visited post nowadays is this one about dplyr (followed by it’s sibling about plyr). I fully support this,

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Superheat: supercharged heatmaps for R

February 3, 2017
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Superheat: supercharged heatmaps for R

The heatmap is a useful graphical tool in any data scientist's arsenal. It's a useful way of representing data that naturally aligns to numeric data in a 2-dimensional grid, where the value of each cell in the grid is represented by a color. It's a natural fit for data that's in a grid already (say, a correlation matrix). But...

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The hourly heatmap with ggplot2

November 30, 2016
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The hourly heatmap with ggplot2

a quick follow up to my last post - I’ve had a few folk get in touch following my last post, all commenting on the last plot : Most of these enquiries went along the following lines: “I hadn’t thought of doing that. It looks really ...

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How to make a simple heatmap in ggplot2

November 15, 2016
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How to make a simple heatmap in ggplot2

In the world of data visualization, the heatmap is underrated and underutilized. It has limitations, but overall, it’s an excellent tool in your data science and data visualization toolkit. After you’ve mastered the foundational visualization techniques (you can write the code for the basic plots in your sleep, right?), you should learn the heatmap.   The post

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How to create a fast and easy heatmap with ggplot2

October 17, 2016
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How to create a fast and easy heatmap with ggplot2

The heatmaps are a tool of data visualization broadly widely used with biological data. The concept is to represent a matrix of values as colors where usually is organized by a gradient. We can find a large number of these graphics in scientific articles related with gene expressions, such as microarray or RNA-seq. In the next example, … Continue...

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Make Easy Heatmaps to Visualize your Turnaround Times

Make Easy Heatmaps to Visualize your Turnaround Times

The Problem In two previous posts, I discussed visualizing your turnaround times (TATs). These posts are here and here. One other nice way to visualize your TAT is by means of a heatmap. In particular, we would like to look at the TAT for every hour of the week in a single figure. This manner … Continue...

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Best way to draw heatmap for publication

July 8, 2016
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Here are two tips I can share if you were also working on a big dataset towards a high quality heatmap:1. Don't generate PDF using pheatmap() or heatmap.2() as (i) the file is unnecessarily SUPER large if you have a lot of data points in the heatmap, s...

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heatmaply: interactive heat maps (with R)

May 31, 2016
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I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages("heatmaply") library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue reading...

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Making Faceted Heatmaps with ggplot2

February 14, 2016
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Making Faceted Heatmaps with ggplot2

We were doing some exploratory data analysis on some attacker data at work and one of the things I was interested is what were “working hours” by country. Now, I don’t put a great deal of faith in the precision of geolocated IP addresses since every geolocation database that exists thinks I live in Vermont

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