Here’s a list of questions that Daylight users ask frequently. If you have a question that isn’t answered here, search the help center or submit a ticket.
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Copy the entire project:
Click Copy on the Projects List, under the name of the project you want to copy. Add a workspace, name, and description for the project. Daylight copies your project, including all saved concept information, and it appears in the Projects List.
Click Copy project on the How many documents are in this project card? on Highlights. Add a workspace, name, and description for the project. Daylight copies your project, including all saved concept information, and it appears in the Projects List.
Use a smaller group of your documents to create a new project:
In the Volume, Sentiment, Drivers, or Galaxy features, select a concept and/or apply any of your desired filters. Click create project from matches in the Concept details pane. Add a workspace, name, and description for the project. Daylight creates a partial copy of your project, including all saved concept information, and the new pro appears in the Projects List.
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When should I branch a project versus using filters?
Analyzing subsets of the data, based on factors such as demographics or date ranges, is important in painting a full picture of what the data is trying to say. In Daylight, you can use the filter tab in the left sidebar to identify the subset of data you wish to analyze. This will update the analysis visualization to only include data from the documents as dictated by the filter selection. The concept space and the concept associations for the full project are used to display these results. The “unique to this filter” option found in the “configure visualization” tab can be used to highlight concepts that are uniquely prevalent in the identified subset. For most analyses, using the filters is recommended as a way to dive deeper into the data.
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You can delete a project from the Highlights page. Hover your pointer over a project box to first make an X appear in the top right corner; hover over the X and Delete Project will display.
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Warning: Deleting a project deletes it permanently. You will need to re-upload the data set if you wish to have a similar project again.
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