Datasets are the core component of Redivis. Datasets contain various metadata and documentation, as well as one or more tables with data and a versioned history.
Some components of a dataset may not be available to you until you are granted access, while others are completely public for you to use.
You can create your own datasets to use in your projects and share with colleagues.
The header and Overview tab contains all of the cataloging and version information for this dataset.
All datasets start with their version tag as
You can bookmark this dataset to keep track of it. All bookmarked datasets will appear in the datasets list of your workspace.
Size (in bytes) of the most recent version of the table.
Editor-assigned tags for this dataset to help users understand it and find similar datasets.
For datasets that are uploaded by an organization, this will specify the dataset is restricted or public.
A short, editor-generated summary of the dataset.
Editors can use this space to include long-form information about the dataset. Embedded pictures, links, and headers are all supported. Some parts of the documentation might only be visible to you if you've attained for a certain access level.
The Tables tab contains each table in this dataset, alongside its summary statistics and information.
If you have metadata access to the dataset, you will be able to view the list of variables, variable metadata, and summary statistics on individual variables.
Your current access level to the dataset will be displayed in the box at the right of the dataset page. If you don't have data access to the dataset, you will be able to "Apply for access" by clicking the button underneath your status.
Some datasets are shared directly with users and you can request access from the dataset's owner here.
Some have requirements linked to them that you'll need to fill out in order to gain access.
If you have data access to a dataset, you will be able to add it to any of your projects (or create a new project with the dataset in it). Click on the "Add to project" at the right of the page to add this dataset to a project.
Projects are a powerful tool that allow you to merge, query, and analyze datasets from across Redivis, all within a collaborative data pipeline environment.
You can download this dataset's metadata in the right menu. You will also be able to view API endpoints for this dataset to help you interact with it programmatically.
Note that some datasets may have additional export restrictions, preventing you from downloading the dataset even when you have data access.