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• Jupyter/iPython notebook

  Authorea Beta documents are more than just text and figures. Every Authorea document is a Git repository that can host data, source code and any other related supplemental material. You can add Jupyter / IPython Notebooks to a figure by adding a figure to an article and then clicking on the figure. The following menu will appear: Click on Attach IPython Notebook aSome readers

• Inserting an interactive figure

  Authorea enables embedding of interactive, dynamic, data-driven figures directly into articles. These can be diagrams from external services like Carto or diagrams from a javascript library like d3.js, flotchart, bokeh, or Plotly. To insert an interactive figure, click Insert Interactive Figure and select the HTML source code from your computer that you wish to add to your document. ![](https://storage.crisp.chat/users/helpdesk/website/d38f777e-0276-4c52-8a15-b5855ac4903c/59bc4ca6-b4b6-4405-Some readers

• How do I embed a Plotly or Carto graph?

  Authorea allows researchers to embed interactive graphs from Plotly or Carto (or any other plotting tool that allows you to save an iframe). This is how, for example, you import a Plotly graph: Get the embed code for your graph from Plotly (click Share, Embed, and copy the iframe). Detailed instructions here. ![](https://storage.crisp.chat/users/helpdesk/website/d38f777e-0276-4c52-8a15-b5855ac4903c/e6ec23f1-7d57-4d5f-81f7-7002Some readers

• Adding data "behind" a figure

  Authorea Beta documents are more than just text and figures. Every Authorea document is a Git repository that can host data, source code and any other related supplemental material. You can add data specific to a figure by adding a figure to an article and then clicking on the figure. The following menu will appear: Click on Attach Dataset and select a data fiSome readers

• Hosting data and uploading files

  Every document written on Authorea has a layer underneath for figures and data. The Data view allows you and your collaborators to add useful data to the document itself. The Data view is available from the Article view by selecting the menu on the left side of the toolbar. Once in the Data view, new files may be uploaded via drag and drop, or via the `Upload newSome readers

• Bokeh

  Bokeh is a Python library for interactive data visualization. It allows you to create interactive plots for the web. For example, one can zoom in, select some of the data points, etc. These plots can then be included directly in Authorea articles. Let us first create a simple plot with Bokeh. The source code is adapted from Bokeh's documentation and can be found here. Note that we set the size of the plot with p.plot_width = 500 and p.plot_height = 500. This is needed to display the figureFew readers

• How do I embed a Carto file?

  Authorea allows researchers to embed interactive charts/maps from Carto. To include a Carto map in Authorea, follow the instructions from Carto to share your work. You will need to copy and paste the iframe contents into an HTML file, which can then be uploaded directly to Authorea. Once you have an HTML file with the iframe from Carto, you can insert an interactive figure by clicking Insert Interactive Figure and selecting the HTML file. You can sFew readers