Analysis Window: Layout and Importtool: Difference between pages

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imported>Jeremy
 
imported>Mathias
 
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===Purpose===


==Analysis Window==
GUI for designating column/row data types in incoming data.  Allows user to specify a column or row as labels, class sets, or axisscale or data.


The Analysis window serves as the core interface to the Solo [[Analysis_Menu|data modeling and analysis functions]]. You use the Analysis window to create, apply, analyze and explore models.
===Synopsis===


===Using the Analysis window===
: [ctypes, rtypes] = importtool(data);
: [ctypes, rtypes] = importtool(data,options);


You can use the following references to locate information on using the Analysis window:
===Description===


* [[#Analysis Window Components|Analysis Window Components]] describes the different components of the user interface.
Allows user to identify data type (data, class, axisscale, include, and ignore) fields (row and columns) in a data matrix.


* [[Analysis_Menu|Analysis Menu]] describes the different methods which are available in the Analysis window.
===Options===


* [[ModelBuilding_AnalysisPhasesOverview|Analysis Phases Overview]] describes the procedures used to analyze data and create models, including the:
options = a structure array with the following fields:
** [[ModelBuilding_AnalysisPhasesOverview#Calibration phase|Calibration phase]]
** [[ModelBuilding_AnalysisPhasesOverview#Test and Validation phase|Test and Validation phase]]
** [[ModelBuilding_AnalysisPhasesOverview#Model Application phase|Model Application phase]]


===Related Tools===
* '''fields''': Nx2 cell array, first column is field name, second column is color to use.
Several other data and model manipulation and analysis tools (accessible through [[AnalysisWindow_MainMenu|the Analysis window menus]] and the [[AnalysisWindow_StatusPane|Status pane]]) are described in additional sections:
* [[DataSet Editor|DataSet Editor Tool]] - to edit data
* [[ModelBuilding_PreProcessingMethods|Preprocessing Tool]] - to choose data pre-treatments (preprocessing)
* [[Tools_CorrelationMap|Correlation Map Tool]] - to examine variable correlations
* [[Tools_Cross-Validation|Cross-Validation Tool]] - to validate models
* [[Tools_ModelRobustness|Model Robustness Tool]] - to validate models


===Analysis Window Components===
The Analysis window has seven major components. These components include (click on component name for more information):


{| cellpadding="5"
==Examples==


|- valign="top"


|
Here we import a csv file by dragging the file into the browse window. 
* [[AnalysisWindow_MainMenu|Main menu]]
 
* [[AnalysisWindow_Toolbar|Toolbar]]
Taking a look at the file we are attempting to import, we see that we have 4 lines of meta data + blank lines, so we set the 'header rows' field to 4 in the text import settings window.  The automatic delimiter detection is being used in this example, however the user may force the use of a specific delimiter by selecting it in this window.   
* [[AnalysisWindow_StatusPane|Status pane]]
 
* [[AnalysisWindow_ControlPane|Control pane]]
 
* [[AnalysisWindow_AnalysisHelpPane|Help pane]]
[[Image:csv_examp.jpg||460px|]]
* [[AnalysisWindow_AnalysisFlowChartPane|Flowchart pane]]
[[Image:Text_import1.jpg||360px|]]
* [[AnalysisWindow_ModelCachepane|Model Cache pane]]
 
|
 
[[Image:AnalysisWindow_Layout.13.1.1.jpg|547x450px]]
 
|}
 
The importool will attempt to automatically detect label columns.  Here the first column containing the names of beers has been automatically detected as a label column.  The third column, containing class information of either 'ale' or 'lager' has also been automatically detected as a label column.  To set this column to a class column, click where it says 'label' underneath C2 and select class.  The importer will now populate the datasets'class field with the information contained within this second column.   
 
 
 
[[Image:importtool1.jpg||420px|]]
 
 
 
===See Also===
 
[[parsemixed]]

Revision as of 12:50, 27 October 2016

Purpose

GUI for designating column/row data types in incoming data. Allows user to specify a column or row as labels, class sets, or axisscale or data.

Synopsis

[ctypes, rtypes] = importtool(data);
[ctypes, rtypes] = importtool(data,options);

Description

Allows user to identify data type (data, class, axisscale, include, and ignore) fields (row and columns) in a data matrix.

Options

options = a structure array with the following fields:

  • fields: Nx2 cell array, first column is field name, second column is color to use.


Examples

Here we import a csv file by dragging the file into the browse window.

Taking a look at the file we are attempting to import, we see that we have 4 lines of meta data + blank lines, so we set the 'header rows' field to 4 in the text import settings window. The automatic delimiter detection is being used in this example, however the user may force the use of a specific delimiter by selecting it in this window.


Csv examp.jpg Text import1.jpg



The importool will attempt to automatically detect label columns. Here the first column containing the names of beers has been automatically detected as a label column. The third column, containing class information of either 'ale' or 'lager' has also been automatically detected as a label column. To set this column to a class column, click where it says 'label' underneath C2 and select class. The importer will now populate the datasets'class field with the information contained within this second column.


Importtool1.jpg


See Also

parsemixed