msund
/ gist:9968704
Created
April 4, 2014 05:31
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| { | |
| "metadata": { | |
| "name": "mpl double examples" | |
| }, | |
| "nbformat": 3, | |
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| { | |
| "metadata": { | |
| "name": "mpl double examples" | |
| }, | |
| "nbformat": 3, | |
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| { | |
| "metadata": { | |
| "name": "mpl double examples" | |
| }, | |
| "nbformat": 3, | |
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| Ggplotly: Interactive, online, and shareable plots | |
| ======================================================== | |
| [Ggplotly](https://github.com/ropensci/plotly) and [Plotly's R API](https://plot.ly/api/r) let you write ggplot2 syntax, add `py$ggplotly()`, and get an interactive, online, shareable Plotly graph. You can embed it in an iframe, save and share your data and graphs together online, and collaboratively graph and analyze your data. Here is an example: | |
| In this RPub, we'll show you how it works. The package is being developed by [Toby Hocking](http://cbio.ensmp.fr/~thocking/), and is on [GitHub](https://github.com/ropensci/plotly), where we eagerly await your thoughts, issues, and pull requests. The project is the result of suggestions from the community and inspiration from Hadley Wickham and ggplot2. | |
| ## I. Getting Started | |
| ``` |
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| { | |
| "metadata": { | |
| "name": "Untitled1" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
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| Make your ggplots shareable, collaborative, and with D3 | |
| ======================================================== | |
| [Ggplotly](https://github.com/ropensci/plotly) and [Plotly's R API](https://plot.ly/api/r) let you make ggplot2 plots, add `py$ggplotly()`, and make your plots interactive, online, and drawn with D3. Let's make some. | |
| ```{r echo=FALSE} | |
| options(bitmapType="cairo") | |
| #see: http://cran.r-project.org/web/packages/opencpu/NEWS | |
| library(knitr) |
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| Make your ggplots shareable, collaborative, and with D3 | |
| ======================================================== | |
| [Ggplotly](https://github.com/ropensci/plotly) and [Plotly's R API](https://plot.ly/api/r) let you make ggplot2 plots, add `py$ggplotly()`, and make your plots interactive, online, and drawn with D3. Let's make some. | |
| ```{r echo=FALSE} | |
| options(bitmapType="cairo") | |
| #see: http://cran.r-project.org/web/packages/opencpu/NEWS | |
| library(knitr) |
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| { | |
| "metadata": { | |
| "name": "Three new matplotlib plots" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
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| { | |
| "metadata": { | |
| "name": "SWC" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
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| { | |
| "metadata": { | |
| "name": "Three new matplotlib plots" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |