Matthew Sundquist renamed Introduction.md to Intro.md  over 10 years ago

Commit id: 401c582d001974856f17fd7aa9b56af5be3720b0

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\section{Introduction}     At [Plotly](Plot.ly), we are excited about the collaboration that Authorea can power. We started Plotly because we have experience similar problems with collaboration. Our problems involved data analysis and visualization. Authorea is about making it easier to collaborate in the writing and publication of your papers. In this article, we'll discuss and demonstrate how Plotly and Authorea together can change the way you collaborate on your data analysis, visualization, and publication.   Plotly is about solving three problems:   * First, in order to query a database, clean data, analyze data, graph results, share the project, and discuss a project, you have to use too many tools, file types, and technologies. Switching between the jumbles is inefficient, painful, and chaotic.     * Second, collaborating on these processes is nearly impossible. It's rather wild that collaboration in 2014 often requires being in the same place looking at the same screen with someone. Or, collaboration can mean emailing a data set, script, graphs, screenshots, and explanations to your team then re-doing that work. Worse, your conversations happen on email, removed from the graph and data (_e.g.,_"see the arrow in the screenshot").     * 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/)).       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.     Now, let's take a look at how Authorea and Plotly together can power your collaboration.