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"Data Visualization" 12 posts Sort by created date Sort by defined ordering View as a grid View as a list

Comprehensive list of color palettes available in r

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Color Brewer 2.0: Color advice for maps

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A Wes Anderson color palette for R

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Colors in R

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R color cheatsheet

by Melanie Frazier

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R Colors

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How to format plots for publication using ggplot2

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Creating publication quality graphs in R

by Tim Appelhans

This tutorial was developed as part of a one-day workshop held within the Ecosystem Informatics PhD-programme at the Philipps University of Marburg. The contents of this turtorial are published under the creatice commons license 'Attribution-ShareAlike CC BY-SA'.

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Subreddit: /r/dataisugly

Welcome to Data Is Ugly, a sub all about butchered visualizations, misleading charts and unlabelled axes. If you've found a particularly useless/ugly/unreadable chart or infographic, and struggled to find someone who will listen to your complaints, then rejoice, for you are home!

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Subreddit: /r/dataisbeautiful

A place for visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the aim of this subreddit.

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plotly

From Wikipedia:

Plotly offers six main products:
  • Plot.ly has a graphical user interface for importing and analyzing data into a grid and using stats tools. Graphs can be embedded or downloaded. Mainly used to make creating graphs faster and more efficient.
  • API libraries for Python, R, MATLAB, Node.js, Julia, and Arduino and a REST API. Plotly can also be used to style interactive graphs with IPython.
  • Figure Converters which convert matplotlib, ggplot2, and IGOR Pro graphs into interactive, online graphs.
  • Plotly Apps for Google Chrome.
  • Plotly.js is an open source JavaScript library for creating graphs and dashboards.
  • Plotly Enterprise an on-premises installation of Plotly.

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