Connecting your data
- Uploading data to Datashift
- Proper data format for uploading
- Working with different file types
- Types of data Datashift can read
Working with projects
Working with data
- Datafile options
- Adding and deleting data
- Linking datafiles together
- Appending datafiles together
- Re-loading data
- Making data update in real-time
- Downloading individual datafiles
- Renaming datafiles
- Data headers
- Adding meta data
- Performing calculations on your data
- Working with alerts
Working with dashboards
Working with your team
Projects are the building blocks of how Datashift organizes your data.
You can think of a project like a folder on your computer. Inside that folder contains files — in Datashift we call them datafiles. So a project is simply a grouping of datafiles.
You can create as many projects as you need to keep yourself organized.
Projects can be set to have one of two different privacy levels:
- Private— By default it is only visible to you, but can be shared with as many people on your team as you want.
- Public— Searchable to anyone with a Datashift account. Anyone can follow your public project, however, they will never be able to modfity or delete the data it contains.