Difference between revisions of "Orange: File"

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(Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/file.html Reads attribute-value data from an input file. Outputs Data: dataset from the file The Fi...")
 
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Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/file.html
 
Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/file.html
  
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Membaca nilai-atribut data dari file input.
  
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==Output==
  
Reads attribute-value data from an input file.
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    Data: dataset dari file
  
Outputs
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Widget File membaca file data input (tabel data dengan instance data) dan mengirimkan dataset ke saluran outputnya. History file yang terakhir dibuka disimpan di widget. Widget ini juga mencakup direktori dengan dataset sampel yang sudah pre-instal di Orange.
  
    Data: dataset from the file
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Widget membaca data dari Excel (.xlsx), tab-delimited (.txt) sederhana, comma-separated file (.csv) atau URL. Untuk format lain, lihat bagian Format Lain di bawah ini.
 
 
The File widget reads the input data file (data table with data instances) and sends the dataset to its output channel. The history of most recently opened files is maintained in the widget. The widget also includes a directory with sample datasets that come pre-installed with Orange.
 
 
 
The widget reads data from Excel (.xlsx), simple tab-delimited (.txt), comma-separated files (.csv) or URLs. For other formats see Other Formats section below.
 
  
 
../../_images/File-stamped.png
 
../../_images/File-stamped.png
  
    Browse through previously opened data files, or load any of the sample ones.
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* Browse through previously opened data files, or load any of the sample ones.
 
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* Browse for a data file.
    Browse for a data file.
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* Reloads currently selected data file.
 
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* Insert data from URL addresses, including data from Google Sheets.
    Reloads currently selected data file.
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* Information on the loaded dataset: dataset size, number and types of data features.
 
 
    Insert data from URL addresses, including data from Google Sheets.
 
 
 
    Information on the loaded dataset: dataset size, number and types of data features.
 
  
 
     Additional information on the features in the dataset. Features can be edited by double-clicking on them. The user can change the attribute names, select the type of variable per each attribute (Continuous, Nominal, String, Datetime), and choose how to further define the attributes (as Features, Targets or Meta). The user can also decide to ignore an attribute.
 
     Additional information on the features in the dataset. Features can be edited by double-clicking on them. The user can change the attribute names, select the type of variable per each attribute (Continuous, Nominal, String, Datetime), and choose how to further define the attributes (as Features, Targets or Meta). The user can also decide to ignore an attribute.
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     Produce a report.
 
     Produce a report.
  
Example
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==Contoh==
  
 
Most Orange workflows would probably start with the File widget. In the schema below, the widget is used to read the data that is sent to both the Data Table and the Box Plot widget.
 
Most Orange workflows would probably start with the File widget. In the schema below, the widget is used to read the data that is sent to both the Data Table and the Box Plot widget.
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Read more on loading your data here.
 
Read more on loading your data here.
Other Formats
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==Format Lainnya===
  
 
Supported formats and the widgets to load them:
 
Supported formats and the widgets to load them:
  
    distance matrix: Distance File
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* distance matrix: Distance File
 
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* predictive model: Load Model
    predictive model: Load Model
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* network: Network File from Network add-on
 
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* images: Import Images from Image Analytics add-on
    network: Network File from Network add-on
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* text/corpus: Corpus or Import Documents from Text add-on
 
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* single cell data: Load Data from Single Cell add-on
    images: Import Images from Image Analytics add-on
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* several spectroscopy files: Multifile from Spectroscopy add-on
 
 
    text/corpus: Corpus or Import Documents from Text add-on
 
 
 
    single cell data: Load Data from Single Cell add-on
 
 
 
    several spectroscopy files: Multifile from Spectroscopy add-on
 
  
  

Revision as of 15:49, 9 January 2020

Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/file.html

Membaca nilai-atribut data dari file input.

Output

   Data: dataset dari file

Widget File membaca file data input (tabel data dengan instance data) dan mengirimkan dataset ke saluran outputnya. History file yang terakhir dibuka disimpan di widget. Widget ini juga mencakup direktori dengan dataset sampel yang sudah pre-instal di Orange.

Widget membaca data dari Excel (.xlsx), tab-delimited (.txt) sederhana, comma-separated file (.csv) atau URL. Untuk format lain, lihat bagian Format Lain di bawah ini.

../../_images/File-stamped.png

  • Browse through previously opened data files, or load any of the sample ones.
  • Browse for a data file.
  • Reloads currently selected data file.
  • Insert data from URL addresses, including data from Google Sheets.
  • Information on the loaded dataset: dataset size, number and types of data features.
   Additional information on the features in the dataset. Features can be edited by double-clicking on them. The user can change the attribute names, select the type of variable per each attribute (Continuous, Nominal, String, Datetime), and choose how to further define the attributes (as Features, Targets or Meta). The user can also decide to ignore an attribute.
   Browse documentation datasets.
   Produce a report.

Contoh

Most Orange workflows would probably start with the File widget. In the schema below, the widget is used to read the data that is sent to both the Data Table and the Box Plot widget.

../../_images/File-Workflow.png Loading your data

   Orange can import any comma, .xlsx or tab-delimited data file or URL. Use the File widget and then, if needed, select class and meta attributes.
   To specify the domain and the type of the attribute, attribute names can be preceded with a label followed by a hash. Use c for class and m for meta attribute, i to ignore a column, and C, D, S for continuous, discrete and string attribute types. Examples: C#mpg, mS#name, i#dummy.
   Orange’s native format is a tab-delimited text file with three header rows. The first row contains attribute names, the second the type (continuous, discrete or string), and the third the optional element (class, meta or time).

../../_images/spreadsheet-simple-head11.png

Read more on loading your data here.

Format Lainnya=

Supported formats and the widgets to load them:

  • distance matrix: Distance File
  • predictive model: Load Model
  • network: Network File from Network add-on
  • images: Import Images from Image Analytics add-on
  • text/corpus: Corpus or Import Documents from Text add-on
  • single cell data: Load Data from Single Cell add-on
  • several spectroscopy files: Multifile from Spectroscopy add-on




Referensi

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