Dataset List

The dataset list comes in two styles: the default card style and list style.

Card Style

Dataset card style

List Style

Click the list button to switch to list style.

Dataset list style

Sorting

By default, the dataset list is sorted in descending order of modification time.

In list style, you can click on a column header to sort. For example, in the following image, the list is sorted by Access Popularity:

Dataset sort

Type characters into the search box to search datasets.

Create New Dataset

Click the Create New Dataset button in the upper right corner to create a dataset, see Create Dataset for details.

Delete

The three-dot menu for each dataset includes the following options:

Dataset menu

When you delete a dataset, if it has been associated with a model or referenced in a chart, it cannot be deleted. Only datasets that have not been referenced can be deleted.

Rename

Datasets can be renamed to better fit business logic.

Create Copy

Create a copy of a dataset, resulting in a new dataset.

Replace Dataset

Replace a dataset, see Replace Dataset for details.

Hide

After processing datasets, some intermediate datasets may no longer be needed for charting. Such datasets can be hidden, and the hidden datasets will not appear when creating charts.

Hidden datasets can still be used in related models or dataset processing, they are just not visible on dashboard and chart pages.

Show

After hiding a dataset, you can click Show from the three-dot menu to make the dataset visible again.

Dataset display

Dataset Home Page

In addition to exploring data, an important task is preprocessing data. In the SENSE system, the Dataset Management page is where this functionality is implemented.
Click on a dataset to open it. Here we have a two-dimensional table structure showing the dataset's data. The table header includes the following operations:

Dataset manage page

Field Selection

Click the Field Selection icon, and a field selection list will pop up. Choose the fields the user is interested in, then click Apply and the dataset page will display the data for the selected fields.

Field selection is temporary, and selected options will be cleared upon refreshing the page.

Dataset field select

Filter Data

Click the Filter Data icon, and the data filter dialog will pop up. Add filter conditions in the dialog, then click Ok to apply. Like field selection, filtering data is also temporary and will be cleared upon refreshing the page.

Dataset data filter

Data Management

Dataset data manage

Append Dataset

For data sets imported into the engine, there is an Append Dataset menu, see Append Dataset for details.

Append Local File

Only local file datasets will have the Append Local File menu, see Append Local File for details.

Edit Dataset

There will be an Edit Dataset menu for SQL query datasets, multi-table joined datasets, aggregated datasets, and merged datasets.

When editing a dataset, there will be a reference check. Fields that have been referenced elsewhere cannot be removed and must be retained.

Export Data

When the application is in creation mode, all dataset data can be exported.

Field Management

Dataset field management
See Field Management for details.

Metric Management

Dataset metric management
See Metric Management for details.

Data Information

Dataset metadata info
Click the Data Information icon to pop up the metadata information dialog. On this page, the important information includes:

  1. Type: A word to indicate the source of this dataset such as Data Connection, Local File, SQL Query, etc., and an icon to indicate the storage type of this dataset.
  2. Rows/Columns/Size: Shows the current space occupied by the dataset in the system.
  3. Original Table: The original table name of the dataset connected to the data source.
  4. Engine Table: The table name of the dataset in the engine for datasets with engine storage type.
  5. Enable Acceleration Engine: Turn off/on the acceleration engine.
  6. Immediate Update: For datasets imported into the engine, it will start an update task to re-examine data from the data source and generate information needed for data exploration. For direct-connection datasets, immediate update will refresh metadata information.
  7. Update Schedule: Set up an update schedule, see Update Schedule for details.