Tabular Data Manager
This is the user guide to Tabular Data Manager portlet.
Overview
Tabular data manager, is a working environment which ensures the management of tabular resources such as datasets, codelist and generic tables. Different types of data can be imported into the platform and a set of operations performed to create, explore and partially manipulate your file. Among the facilities is the possibility to check for data correctness using codelist, file aggregation and filtering. The strength of the platform is the management of big dataset with more than million of data without problems in the exploration and investigation of the file.
Basic of Interface
Composition of interface :
- Ribbon menu
- The interface offer on top a ribbon menu, it consists of tabs: Home, Curation, Modify and Analyse.
- Tools area
- The interface offer on left side a tab panel in which the manipolation tools will be activated.
- Main area
- The interface offer on center side a panel in which the grids with data be activated.
Basic Operation
The basic operations are those that enable interaction with a tabular resource and are: open, close, delete, properties and clone.
Open
For open a tabular resource yuo must click on ribbon Home and so in group File you select open button. A window will show the list of tabular resource available to the user.
Close
Tabular resource can be closed looking in the main area and clicking on the x next to its name. To close all open tabular resource go into the ribbon menu, home group, and click on close all button.
Delete
Properties
Clone
Grid Menu
When a tabular resource is open, you can access the column header menu and the context menu.
Grid Header Column Menu
Grid Context Menu
Import
CSV
SDMX
Export
CSV
JSON
SDMX
Curation
Split Column
- CHAR_SEQUENCE
- For example, the Tabular Resource when splitted setting char sequence:
- is transformed in:
- INDEX
- For example, the following Tabular Resource when splitted setting INDEX:
- is transformed in:
- REGEX
- For example, the following Tabular Resource when splitted setting REGEX:
- is transformed in:
- N.B. Value is a POSIX Regular Expression
Normalize
For example, the following Tabular Resource:
when normalized setting as normalized column name 'Year', as value column name 'Quantity' and with columns to normalize '1998', '1999' and '2000' is transformed in:
Denormalize
For example, the following Tabular Resource with 'Quantity' column of type integer or numeric:
when denormalized setting as value column name 'Quantity' and as attribute column name 'Year' is transformed in: