Use a pinned resource and update only the data. Rather than redeploying the content each time the data changes, Rather thanĬopying that data, each piece of content references a single source ofĬontent depends on data or model objects that need to be regularly Multiple pieces of content require the same input data. Sharing data can be useful in many situations, for example: Networked drive or with dropbox), RStudio Connect, Amazon S3, and more. ![]() Stored on a variety of "boards", including local folders (to share on a Your resources may be text files (CSV, JSON, etc.), Arrow/Featherįiles, or any other format you use to share data. ![]() Library provides a way to easily share data sets, models, and other Python
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