deletions | additions       diff --git a/Plotly and Authorea.md b/Plotly and Authorea.md  index f359ac1..9fd3e76 100644  --- a/Plotly and Authorea.md  +++ b/Plotly and Authorea.md 
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**Third.** when you look at a graph in a deck or paper, you can't access the data. Time compounds the data loss; a [recent study](www.scientificamerican.com/podcast/episode.cfm?id=where-have-all-the-data-gone-13-12-19) showed that, twenty years after publication in 1991, 80 percent of data used in scientific papers was no longer available. _Solution_. Plotly hosts data, code, and graphs together, and lets you fork your own versions (see _e.g.,_ [this Washington Post article](http://www.washingtonpost.com/blogs/wonkblog/wp/2013/06/14/do-low-taxes-on-the-rich-leave-the-middle-class-with-lower-wages/)).   **More details.** Plotly offers a) a graphing GUI, 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)  [Plotly APIs](Plot.ly/api) for Python, R, MATLAB, REST, Julia, Arduino, and Perl, b) c)  a Python sandbox and support for NumPy, LaTeX, pandas, datetime, and [IPython Notebook](nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/) support, c) d)  Grid that supports 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. Importantly, Authorea now allows seamless and easy inclusion of Plot.ly graphs. Here's how.  ## Plot.ly plots inside Authorea documents  Below is a graph re-made with data from UC Berkeley [stats page](http://www.stat.ubc.ca/~jenny/notOcto/STAT545A/examples/gapminder/data/gapminderDataFiveYear.txt), which plays a central role in Hans Rosling's [Ted Talks](http://www.youtube.com/watch?v=hVimVzgtD6w). You can also see a similar graph in [this IPython Notebook](http://nbviewer.ipython.org/github/plotly/IPython-plotly/blob/master/Bubble%20Chart%20Explorer.ipynb) and a or lrean more in this  [post](http://blog.plot.ly/post/71637573256/the-power-of-bubble-charts) on bubble charts. If you hover your mouse over the data in the image below you can see the data points, if you drag your mouse, you'll zoom into the plot, and double click to zoom back out. All in one interface you can access the data, graph, and script used to create a graph, and if you click through, you can save, edit, and copy the script, data, or graph you see below. If you were writing this paper on Authorea, you would be able to write your text and manipulate your image at the same time, collaboratively. **That is collaboration, as it should be.**