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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Terms that provide little or no information (also called stopwords) are ignored in an analysis.
These Stopwords include articles (a, an, the, ...), pronouns (he, she, they, it, ...), conjunctions (and, but, or, ...), auxiliary verbs (can, have, do, ...), some prepositions (of, for, ...), etcand more.
The remaining words are collocated, or grouped together, if they belong to meaningful multi-term units (e.g., "Amazon Kindle Fire" or "power button" or "purchased for my wife").
Currently, collocations collocations can be up to seven words long — , or longer in the case where if negation words (such as "no" and "never") are collocated with other terms (for example, if "buy milk from the grocery store" is a collocation, "never will I have to buy milk from the grocery store" could also be a concept, because the negation ("never") and the intervening stopwords ("will I have to") don't count toward the seven-word limit).
NOTE: Most Note: In Daylight, most terms are not collocated.
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What is a document or verbatim?
A document — , or verbatim — , corresponds to one full row of your source data (spreadsheet in .csv format). Documents contain natural-language text from open-ended survey responses, product/online reviews, chat logs, customer support call transcriptions, customer emails, and more.
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Uploading data takes place using your web browser. If you close your browser during upload, your data upload will stop uploadingnot complete. The upload page ( New Project page ) tells you displays when your file is being uploaded (the Create Project button changes to Creating and Uploading...(may take a while)). uploading. When the upload is complete, a success message is displayed on the page ("Success! Your data has been uploaded successfully. The documents will show up in the visualization once we have processed them.").
Don't worry, we're talking minutes here, not hours! Projects less than 20MB should load in less than 20 minutes.
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Building or processing your project happens on our servers.
Typical Daylight projects take only a few minutes to upload, though upload time depends on the size of your dataset.
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After uploading the data, you can may close your browser or turn off your computer ... without affecting your project construction will not be affectedbuild. If your dataset is large, building may take a few minutes. There will be a yellow status light in the Highlights page The Highlights page displays a status symbol for that project , indicating that indicates if the system is still processing your data. You can check Select "Send me an email when this project is finished building." to receive for an email notification once when your project is availablecomplete.
The time it takes for Daylight to finish processing your project depends on a number of factorsProject upload time depends on:
file size
the average length of each document
the number of subsets you have
your Web browser and connection
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Depending on the volume of data to be processed, the system typically takes several minutes to complete the operation. For example, processing 10,000 product reviews takes approximately 7 minutes. Extremely large volumes of data can take several hours.Refresh your web browser in a few minutes to check if the project is ready to be explored. When this happens, the circle will display as green on the Highlights page.
Should I create multiple projects if I have a dataset with different items?
Yes. You should split Split your dataset into separate projects for each product or item if:
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I don’t have metadata. Can my data still be analyzed?
Yes. Only text (under the Text column heading) is needed in order to conduct analyses in Daylight. Read more in our article on Formatting your data.
How do I upload a survey analysis project?
There are a couple of things to consider when uploading a survey analysis project. Do I you want to upload the whole an entire survey or do I you want to look at question by question? For analysis, always look at each individual question. The way you ask a question completely changes the way someone answers with natural language. Always create an individual project for each question.
You can always upload the full survey data with a list of questions as the string_ value and then separate from there. However, make sure your analytics are derived from the project around the individual question for the most accurate results.
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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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