Data Library

The Data Library contains all your datasets and their related views. When you log into Mammoth, your data library is displayed first.

Adding Datasets

You can add new datasets to Mammoth in the following ways:

  1. Files from the desktop.
  2. Third party APIs and Databases
  3. Webhooks
  4. From public URLs to files on the internet.
  5. As results of Branch out to Dataset or Crosstab from a Views.

Adding data files from desktop

You can add files from Desktop to Mammoth by completing one of the following:

  1. By dragging files over the data library from a folder on the desktop.
  2. By clicking on the big ‘+’ button on the data library and opening My Desktop window.

Note that only allowed file types are accepted by Mammoth. Supported file types are: .csv .tab .tsv .txt .xls .xlsx .zip

The more consistent the data, the better Mammoth is at understanding and processing that file.

Adding data from third-party APIs or Databases

You can connect to various third party APIs and databases using Mammoth. Take a look at our Integrations documentation to learn more.

Adding Webhooks

You can set up an incoming webhook to receive data from Mammoth. The webhooks can receive data as GET, POST, or JSON post parameters. They can be used with popular services such as GitHub or JIRA. If you are a software developer, you can also write your custom code to push data into webhooks.

Learn how to add a simple webhook webhookSimpleHowTo.

Public Files from URLs

If you have a direct web link to a file, then you can add that file directly to Mammoth.

Note that there are files on the web that are not accessible by external software. This is because the owners of those websites do not want automated software to access the data. Since Mammoth cannot pull data from such URLs, download the file manually and upload it to Mammoth.

Adding Folders

Folders can be added to Mammoth by using the following methods:

  1. By adding a folder by clicking on the big ‘+’ button.
  2. From the move menu.

In Mammoth, you can have the same name for more than one folder.

Using the Data Library

The data library is a nested list of items that contains folders and datasets. Views are listed under Datasets if there is more than one View.

You can interact with the Data Library by clicking on any of the items. Clicking on an item selects the item. Double-clicking will cause the default action to take place for that line item.

More than one item can be selected by holding down the ctrl/cmd keys.

When items are selected, it opens a preview panel for selection.

Default action on double-click

Following are the default actions on double-click:

  1. If the line item is a folder, on double-click the folder opens.
  2. If the line item is a dataset, on double-click its first view opens.

Preview Panel

The Preview Panel shows additional information and actions that can be performed on the selected item in the Data Library. Depending on the selection, the contents of the preview panel change.