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Alberto Pepe edited Plotly and Authorea.md
over 10 years ago
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**How it works.** Plotly offers a) a graphing GUI with bubble charts, box plots, line charts, area charts, scatter plots, histograms, 2D histograms, heatmaps, log axes, error bars, date axes, multiple axes, subplots, and insets, b) [APIs](Plot.ly/api) for Python, R, MATLAB, REST, Julia, Arduino, and Perl, c) a Python sandbox and support for NumPy, LaTeX, pandas, datetime, and [IPython Notebook](http://nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/) support, d) a grid with fits, functions, stats, ANOVAs, and more.
## Authorea
Authorea is a tool to write research documents in collaboration. The post you are reading was written in Authorea! Collaborating on scholarly papers with a mix of emailed documents, drafts, lost revisions, and comments is inefficient and painful. Authorea puts the whole publication tookit online: an interactive GUI, revision history, comments, and beautiful rendering for
LaTeX, images,
and graphs. citations, graphs, LaTeX, mathematical notation (for example, how about \(\eta = \frac{\pi^{1/2}m_e^{1/2}Ze^2 c^2}{\gamma_E 8 (2k_BT)^{3/2}}\ln\Lambda \approx 7\times10^{11}\ln\Lambda \;T^{-3/2} \,{\rm cm^2}\,{\rm s}^{-1}\)) . Importantly, Authorea now allows seamless and easy inclusion of Plotly graphs. Here's how.
## Plotly inside Authorea documents
Here's another example of a Plotly plot embedded in Authorea document. This graph plots each combination of available points against one another, as explained in [this IPython Notebook](http://nbviewer.ipython.org/github/plotly/IPython-plotly/blob/master/PyMC%20+%20Plotly.ipynb) by [Christopher Fonnesbeck](http://biostat.mc.vanderbilt.edu/wiki/Main/ChrisFonnesbeck). As for the previous plot, don't miss the interactive component of this graphic: hover, drag and click your mouse over the data to play with it. For more bubble charts, you can see [this IPython Notebook](http://nbviewer.ipython.org/github/plotly/IPython-plotly/blob/master/Bubble%20Chart%20Explorer.ipynb) or a [post](http://blog.plot.ly/post/71637573256/the-power-of-bubble-charts) on showing multiple dimensions with a bubble chart.