Difference between revisions of "Tabular Data Manager"

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<!--The basic operations are those that enable interaction with a tabular resource and are: open, close, delete, properties and clone.-->
 
<!--The basic operations are those that enable interaction with a tabular resource and are: open, close, delete, properties and clone.-->
 
<!--Chiara suggerisce:-->
 
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This section includes primary operations to open, close, delete investigate the properties and clone your table.
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This section includes primary operations to open, close, delete, investigating the properties and clone your table.
  
 
=== Open ===
 
=== Open ===
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=== Close ===
 
=== 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.
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<!--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.-->
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A singolar tabular resources can be closed directly in the bottom menu of the central panel (See Figure in Section.... ). You can also use the close buttom on the top of the ribbon menu, Home-> File, which allows to close all the open tables in you working environment. 
  
 
=== Delete ===
 
=== Delete ===

Revision as of 13:50, 30 January 2015

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. Tabular Resources are used in different scientific fields ranging from statistics to signal processing and econometrics. Among the available facilities of Tabular Data Manager is the possibility to check for data correctness using codelist files, to perform aggregating and filtering operations. The main strength of the platform is the management of big dataset with more than million of data without having problems in exploring and further process your file.

Tabular Data Manager, portlet


Basic of Interface

Composition of interface :

Ribbon menu
The interface consists of a top ribbon menu of four tabs (i.e Home, Curation, Modify and Analyse) including the main functionalities of the portlet.
Tabular Data Manager, ribbon
Tabular Data Manager, curation
Tabular Data Manager, modify
Tabular Data Manager, analyse


Tools area
The interface has a left side tab panel, which describes the main characteristics of the activated table (i.e table type). In also, you can visualize the list of the already performed operations (once you have already manipulated your file) and if those have been validated (i.e validation tab).
Tabular Data Manager, tools area


Main area


In the center panel, your activated tabular data is displayed. As you can see in the picture, the bottom panel shows the table you are working on.
Tabular Data Manager, main area

Basic Operations

This section includes primary operations to open, close, delete, investigating the properties and clone your table.

Open

To open your tabular resource you need to click on the Home-> File tab in the ribbom menu A window will appear to show the list of tabular resources already uploaded in your workspace and available to be viasualized

Tabular Data Manager, openbutton

Close

A singolar tabular resources can be closed directly in the bottom menu of the central panel (See Figure in Section.... ). You can also use the close buttom on the top of the ribbon menu, Home-> File, which allows to close all the open tables in you working environment.

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

Tabular Data Manager, grid header column menu

Grid Context Menu

Tabular Data Manager, 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:
Tabular Data Manager, split column by char sequence
is transformed in:
Tabular Data Manager, split column by char sequence result


INDEX
For example, the following Tabular Resource when splitted setting INDEX:
Tabular Data Manager, split column by index
is transformed in:
Tabular Data Manager, split column by index result


REGEX
For example, the following Tabular Resource when splitted setting REGEX:
Tabular Data Manager, split column by regex
is transformed in:
Tabular Data Manager, split column by regex result
N.B. Value is a POSIX Regular Expression

Normalize

For example, the following Tabular Resource:

Tabular Data Manager, normalize

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:

Tabular Data Manager, normalize result

Denormalize

For example, the following Tabular Resource with 'Quantity' column of type integer or numeric:

Tabular Data Manager, denormalize

when denormalized setting as value column name 'Quantity' and as attribute column name 'Year' is transformed in:

Tabular Data Manager, denormalize result

Modify

Analyse

External links

References

Template:Reflist