In order to query and upload data, you'll need to have a Redivis account. You can create one using the Create account button on the top right of any page.
You can use either your institutional email address (e.g., email@example.com) or sign in with any Google account. Redivis supports authentication through over 2,500 academic institutions from around the world.
Pick your handle and make sure the information is correct, and then create the account. You can always update your profile information and login info in the Settings tab of your workspace.
To find a dataset on Redivis, you'll begin by selecting an organization to search within. Go to https://redivis.com, and select an organization from the homepage. For this example, we will be using data from the Stanford Center for Population Health Sciences.
Next, from an organization's homepage, click on the datasets tab. Here you can search across the organization's datasets; let's look for Medicare Inpatient data:
Any of these datasets can be selected, taking you to the dataset page where you can learn more about the content of the dataset — its documentation, its variables, summary statistics, and a preview into the raw data.
You can learn a lot about a dataset from the dataset page — documentation, metadata, summary statistics are available; we can even perform a direct query on the data.
Once you're ready to perform more complicated queries on the data, you can either download it directly to your computer or you'll want to add it to a project where you can query it using Redivis tools.
You can create a new project or add datasets to any existing projects that you own.
This will bring the current dataset — Medicare Inpatient Charges — into the Redivis project interface. To manipulate the data, click the Transform button to create a new transform node.
You can then build a transform to select the variables and rows in your output table. The transform interface is a powerful tool for joining, manipulating, and filtering data.
When you're ready to generate an output table, click the "Run" button at top right. This transform shown below selects all providers in California whose medicare payments are higher than the average, for a particular diagnosis group. This project is public for you to explore and create your own copy.
After your run job is complete, you can explore the output table to make sure the output is valid, and update your transform accordingly.
On the output table you can:
View summary statistics
Save or export the table and its metadata
Redivis is more than just one dataset — it is a collection of data, organizations, and community members making novel discoveries through data.
You can discover additional datasets, add them to your project, and query across numerous tables.
You can share projects with your collaborators, and manage your resources within your centralized workspace.
Redivis 💜's open data, but not all data can be made public. If you come across non-public content hosted by an organization, you can apply for access directly from the organization on Redivis.