deletions | additions       diff --git a/Introduction.md b/Introduction.md  index 770bc44..f6ad878 100644  --- a/Introduction.md  +++ b/Introduction.md 
...
* Third, when you look at a graph in a deck or paper, you can't see or access the data behind it to do your own analysis of that data reproduce or validate those results. The data and graph divide also prevents you from introducing your data to a dataset hidden behind a graph.  Plotly solves these problems. Plotly lets you make interactive graphs with Plotly's GUI, or [Plotly APIs](Plot.ly/api) in Python, R, MATLAB, REST, Arduino, Julia, Perl, or [IPython Notebooks](nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/). Plotly also lets you analyze data with fits functions, and a Python sandbox. Share your graphs publicly or as a private file, then edit together with your team. You can comment, save your versions, and easily download, export, or embed your graphs (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/). article])(http://www.washingtonpost.com/blogs/wonkblog/wp/2013/06/14/do-low-taxes-on-the-rich-leave-the-middle-class-with-lower-wages/).  That means no more emailing data and spreadsheets around. Stop downloading graphs or taking screenshots to put them in a deck or email you can’t access anymore. You can simply send a Plotly URL to your team, or share your project with them so you can edit together. Or download graphs for articles, and include the URL in your graph. That way, others can go online to access your interactive graph and data.