Datasets enable you to securely upload and update datasets in Anaconda’s cloud storage. You can then provide access to other users, as well as import your datasets to a separate workbook to continue your data analysis from any machine, anytime.

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Understanding datasets

Let’s take a look at the different elements and tabs within Datasets.
1

Cloud

Shows all projects and project contents
2

Connections

Displays datasets previously uploaded to or downloaded from Anaconda’s cloud storage
3

New Project

Create a new project to store and share datasets (sheets and tables)
4

New Dataset

Create a new dataset and assign it to a project
5

Filters

Apply filters to efficiently locate data in your catalog
6

My Datasets

A collection of all your cloud projects and their nested datasets
7

User Datasets

Projects to which you have access, owned by other individuals
8

Organization Datasets

Projects to which you have access, owned by organizations
9

Status Icons

Indicates the connection status of your dataset

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Creating a project

When you first access Datasets, you are prompted to create a new project. You can think of projects as folders for storing your datasets. Create a project at any time using the following steps:
  1. From the Cloud tab, click + New Project.
  2. Enter a unique title for your project and an optional description.
  3. Designate the project owner(s) for your project. By default, you are set as the only project owner.
    Administrators and project owners are the only users allowed to edit projects. Anaconda.com organization administrators have full permissions for any projects owned by their organization.
  4. (Optional) Provide access to your project by inviting users from one of your organizations.
  5. Click Save.

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Sharing a project with other users

You can share a project to collaborate with others in your organization when creating a new project, or at any time using the following steps:
  1. From the Cloud tab, click actions beside a project for which you have edit permissions, then click Edit.
  2. Provide access to your project by inviting users from one of your organizations.
    1. Under Your Organizations, select an organization.
    2. Under Organization Users, select a user to share your project with.
    3. Choose whether the user should have read or write access to your project.
  3. Click Save.

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Permissions

Access to projects and the actions you can perform in them are determined by your permission level for the project. By default, you as the owner of your project have admin permissions; for projects owned by an organization, the admins of that organization have admin permissions for that project.
Permission levelActions
ReadView, download
EditView, download, upload
AdminView, download, upload, share, delete

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Uploading data

Protect your local datasets and increase their accessibility by saving them in cloud storage. If you experience hardware failure, or need to work on a different device, your projects will be right where you left them! Upload sheets and tables to your projects using the following steps:
  1. From the Cloud tab, click + New Dataset.
  2. Under Data, choose a range of data manually, a specific table, or an entire sheet.
  3. Under Project, select a project to house your dataset.
  4. Under Dataset Title, provide a title for your dataset.
  5. Complete the upload by clicking Save to Cloud.
You can now see the established connection between your dataset and Anaconda’s cloud storage on the Connections tab.
When you make changes to the dataset, re-upload it to update the dataset stored in the cloud.

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Downloading data

If another user shares a project with you, or if you’ve uploaded a dataset in another workbook or Anaconda Notebook, download appears beside that dataset. Datasets can be downloaded as either an Excel range reference or as an Anaconda Code object.
To download a dataset as an Excel range reference:
  1. Click download beside the dataset you want to download.
  2. Under Workbook Placement, select the sheet where you want to insert the data.
  3. Complete the download by clicking Download to Workbook.
The data is now available in the selected sheet.

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Understanding status icons

Status icons appear by each dataset. Click the icons to perform the following functions:
IconNameFunction
UploadClick to upload a dataset in your workbook to Anaconda’s cloud storage.
Re-uploadClick to re-upload the dataset in your workbook to Anaconda’s cloud storage.
DownloadClick to download a dataset from Anaconda’s cloud storage to your workbook.
Re-downloadThe dataset on Anaconda’s cloud storage has been updated. Click to update the dataset in your Excel workbook with these changes.
SyncedThe dataset in your Excel workbook is up-to-date with the dataset in Anaconda’s cloud storage.
ConflictThe dataset on Anaconda’s cloud storage has been updated and now conflicts with the dataset in your Excel Workbook. Click to resolve the conflict.