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Various sources for embedded resources

The command menu is useful for embedding resources from the current dataset or project into the editor window, but resources in connected datasets or located outside of must be embedded with drag and drop. Sources for resources that can be embedded include:

  • The current project or dataset

  • Desktop or cloud storage

  • From a URL

The current project or dataset

While recently modified files in the current project will show up in the command menu, files in linked datasets do not. Drag and drop works for both the current project or dataset files and also for the connected dataset files. To include any resource from the left sidebar of the workspace select it and drag it to the beginning of a new line in the editor window:


The files in your project or dataset that can be viewed in the workspace typically render in full or as a preview in the Simple Editor window. PDF's are the current exception to this rule and can only be embedded as a link. Tabular files are displayed as a preview with a link to the full file. Text files (.txt, not rich-text files--.rtf) and most image files are also previewed in the editor. See the article Supported file types for detailed information on the rendering of specific file types.

Queries and insights are both rendered as previews in the Simple Editor. Notice that for queries there is also an option to run the query in the bottom right corner of the window:


If you select the Run query option you'll be taken to a new tab in the workspace which will display the full results of the query (or the maximum number allowed for larger tables):


To get back to the summary window click on its tab at the top of the workspace:


Parameterized queries can also be embedded into the Simple Editor where they will be executable by the reader. The query is previewed in the editor window with all the parameter fields showing the default values. The reader can replace the defaults with other values and interactively run the query without ever leaving the summary, post, or insight. Running the query returns a preview of the first five rows of the query results. Clicking See all runs the query in a workspace and returns all the results from the parameters set by the reader (up to 10,000):


Embedding files from your desktop or a cloud storage device like iCloud, Dropbox, or Box is easy with the editor's drag and drop interface. Simply choose the file and drag it to the beginning of a line in the Simple Editor window. Non-image files will be added to the dataset or project:


You will then need to embed the uploaded file into the editor window either with the command menu or by dragging and dropping it. If the file you choose is a supported image file, the image will be added to the editor window without being added to the dataset or project as a new file:

From a URL

Another source for embeddable content is a webpage. URL's can be embedded into the beginning of a line in a Simple Editor window and they will show up as either a preview of the webpage or as a link to it, depending on how the source page was configured by its author: