Orange: Select Rows - Revision history

Onnowpurbo: /* Contoh */

2020-04-04T03:16:07Z

Contoh

← Older revision		Revision as of 03:16, 4 April 2020
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	[[File:SelectRows-Example.png\|center\|600px\|thumb]]		[[File:SelectRows-Example.png\|center\|600px\|thumb]]

	Dalam contoh berikut, kita menggunakan data dari dataset Titanic dan juga memasukkannya ke dalam widget Box Plot. Kita pertama kali mengamati seluruh dataset berdasarkan kelangsungan hidup / survived. Kemudian kita memilih hanya penumpang kelas satu / First di widget Select Rows dan memasukkannya lagi ke Box Plot. Di sana kita bisa melihat semua penumpang kelas satu terdaftar berdasarkan tingkat kelangsungan hidup mereka (survived) dan dikelompokkan berdasarkan gender.		Dalam contoh berikut, kita menggunakan data dari dataset Titanic dan juga memasukkannya ke dalam widget Box Plot. Kita pertama kali mengamati seluruh dataset berdasarkan kelangsungan hidup / survived. Kemudian kita memilih hanya penumpang kelas satu / First di widget Select Rows dan memasukkannya lagi ke widget Box Plot. Di sana kita bisa melihat semua penumpang kelas satu terdaftar berdasarkan tingkat kelangsungan hidup mereka (survived) dan dikelompokkan berdasarkan gender.

	[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]		[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]

Onnowpurbo: /* Contoh */

2020-04-04T03:14:45Z

Contoh

← Older revision		Revision as of 03:14, 4 April 2020
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	==Contoh==		==Contoh==

	Dalam workflow di bawah ini, kita menggunakan data Zoo dari widget File dan memasukkannya ke dalam widget Select Rows. Di widget, kita memilih untuk hanya mengeluarkan dua jenis hewan, yaitu ikan dan reptil. Kita dapat memeriksa dataset asli dan dataset dengan baris yang dipilih di widget Data ~~Tabel~~.		Dalam workflow di bawah ini, kita menggunakan data Zoo dari widget File dan memasukkannya ke dalam widget Select Rows. Di widget, kita memilih untuk hanya mengeluarkan dua jenis hewan, yaitu ikan dan reptil. Kita dapat memeriksa dataset asli dan dataset dengan baris yang dipilih di widget Data Table.

	[[File:SelectRows-Example.png\|center\|600px\|thumb]]		[[File:SelectRows-Example.png\|center\|600px\|thumb]]

	Dalam contoh berikut, kita menggunakan data dari dataset Titanic dan juga memasukkannya ke dalam widget Box Plot. Kita pertama kali mengamati seluruh dataset berdasarkan kelangsungan hidup. Kemudian ~~kami~~ memilih hanya penumpang kelas satu di widget Select Rows dan memasukkannya lagi ke Box Plot. Di sana kita bisa melihat semua penumpang kelas satu terdaftar berdasarkan tingkat kelangsungan hidup mereka dan dikelompokkan berdasarkan gender.		Dalam contoh berikut, kita menggunakan data dari dataset Titanic dan juga memasukkannya ke dalam widget Box Plot. Kita pertama kali mengamati seluruh dataset berdasarkan kelangsungan hidup / survived. Kemudian kita memilih hanya penumpang kelas satu / First di widget Select Rows dan memasukkannya lagi ke Box Plot. Di sana kita bisa melihat semua penumpang kelas satu terdaftar berdasarkan tingkat kelangsungan hidup mereka (survived) dan dikelompokkan berdasarkan gender.

	[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]		[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]

Onnowpurbo: /* Contoh */

2020-04-04T03:13:11Z

Contoh

← Older revision		Revision as of 03:13, 4 April 2020
Line 36:		Line 36:
	==Contoh==		==Contoh==

	Dalam workflow di bawah ini, kita menggunakan data Zoo dari widget File dan memasukkannya ke dalam widget Select Rows. Di widget, kita memilih untuk hanya mengeluarkan dua jenis hewan, yaitu ikan dan reptil. Kita dapat memeriksa dataset asli dan dataset dengan baris yang dipilih di widget Tabel ~~Data~~.		Dalam workflow di bawah ini, kita menggunakan data Zoo dari widget File dan memasukkannya ke dalam widget Select Rows. Di widget, kita memilih untuk hanya mengeluarkan dua jenis hewan, yaitu ikan dan reptil. Kita dapat memeriksa dataset asli dan dataset dengan baris yang dipilih di widget Data Tabel.

	[[File:SelectRows-Example.png\|center\|600px\|thumb]]		[[File:SelectRows-Example.png\|center\|600px\|thumb]]

Onnowpurbo at 03:00, 4 April 2020

2020-04-04T03:00:41Z

← Older revision		Revision as of 03:00, 4 April 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/selectrows.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/selectrows.html

	~~Selects~~ data instances ~~based on conditions over~~ data ~~features~~.		Widget Select Rows dapat memilih / Select data instances berdasarkan condition dari data feature.

	==Input==		==Input==
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	Data: data with an additional column showing whether a instance is selected		Data: data with an additional column showing whether a instance is selected

	~~This widget selects a~~ subset ~~from an~~ input dataset, ~~based on~~ user-defined ~~conditions~~. ~~Instances that~~ match ~~the~~ selection rule ~~are placed in the~~ output Matching Data channel.		Widget Select Rows select sebuah subset dari input dataset, berdasarkan user-defined condition. Instance yang match dengan selection rule akan di letakan pada output Matching Data channel.

	~~Criteria for~~ data selection ~~are presented as a collection of conjunct terms~~ (~~i.e. selected items are those matching all the terms in ‘Conditions’~~).		Kriteria untuk data selection di tampilkan sebagai kumpulan conjuct term (yaitu, data yang terpilih adalah yang match ke semua term di ‘Condition’).

	Condition ~~terms are defined through~~ selecting an attribute, selecting an operator ~~from a list of operators~~, ~~and~~, ~~if needed~~, ~~defining the value to be used in the~~ condition term. ~~Operators are different for discrete~~, continuous ~~and~~ string ~~attributes~~.		Condition term di definisikan melalui selecting attribute, selecting operator dari daftar operator, dan, jika dibutuhkan, men-definisikan nilai yang digunakan di condition term. Operator akan berbeda untuk atribut diskrit, continuous dan string.

	[[File:SelectRows-stamped.png\|center\|600px\|thumb]]		[[File:SelectRows-stamped.png\|center\|600px\|thumb]]
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	# Produce a report.		# Produce a report.

	~~Any change in the composition of the condition will~~ update ~~the information pane~~ (Data Out).		Perubahan di kondisi komposisi akan meng-update panel informasi (Data Out).

	If Send automatically ~~is selected~~, ~~then the~~ output ~~is updated on any change in the composition of the condition or any of its terms~~.		Jika Send automatically di select, maka output akan di update saat ada perubahan dari komposisi dari kondisi atau salah satu term.

	==Contoh==		==Contoh==

Onnowpurbo: /* Contoh */

2020-01-10T03:44:59Z

Contoh

← Older revision		Revision as of 03:44, 10 January 2020
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	==Contoh==		==Contoh==

	~~In the~~ workflow ~~below~~, ~~we used the~~ Zoo ~~data from the~~ File widget ~~and fed it into the~~ Select Rows ~~widget~~. ~~In the~~ widget, ~~we chose to output only two animal types~~, ~~namely fish and reptiles~~. ~~We can inspect both the original~~ dataset ~~and the~~ dataset ~~with selected rows in the~~ Data ~~Table widget~~.		Dalam workflow di bawah ini, kita menggunakan data Zoo dari widget File dan memasukkannya ke dalam widget Select Rows. Di widget, kita memilih untuk hanya mengeluarkan dua jenis hewan, yaitu ikan dan reptil. Kita dapat memeriksa dataset asli dan dataset dengan baris yang dipilih di widget Tabel Data.

	[[File:SelectRows-Example.png\|center\|600px\|thumb]]		[[File:SelectRows-Example.png\|center\|600px\|thumb]]

	~~In the next example~~, ~~we used the~~ data ~~from the~~ Titanic ~~dataset and similarly fed it into the~~ Box Plot ~~widget~~. ~~We first observed the entire~~ dataset ~~based on survival~~. ~~Then we selected only first class passengers in the~~ Select Rows ~~widget and fed it again into the~~ Box Plot. ~~There we could see all the first class passengers listed by their survival rate and grouped by~~ gender.		Dalam contoh berikut, kita menggunakan data dari dataset Titanic dan juga memasukkannya ke dalam widget Box Plot. Kita pertama kali mengamati seluruh dataset berdasarkan kelangsungan hidup. Kemudian kami memilih hanya penumpang kelas satu di widget Select Rows dan memasukkannya lagi ke Box Plot. Di sana kita bisa melihat semua penumpang kelas satu terdaftar berdasarkan tingkat kelangsungan hidup mereka dan dikelompokkan berdasarkan gender.

	[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]		[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]




	==Refensi==		==Refensi==

Onnowpurbo at 03:20, 10 January 2020

2020-01-10T03:20:33Z

← Older revision		Revision as of 03:20, 10 January 2020
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	Selects data instances based on conditions over data features.		Selects data instances based on conditions over data features.

	==Input		==Input==

	Data: input dataset		Data: input dataset

Onnowpurbo at 03:20, 10 January 2020

2020-01-10T03:20:25Z

← Older revision		Revision as of 03:20, 10 January 2020
Line 3:		Line 3:
	Selects data instances based on conditions over data features.		Selects data instances based on conditions over data features.

	~~Inputs~~		==Input

	Data: input dataset		Data: input dataset

	~~Outputs~~		==Output==

	Matching Data: instances that match the conditions		Matching Data: instances that match the conditions
			Non-Matching Data: instances that do not match the conditions
	Non-Matching Data: instances that do not match the conditions		Data: data with an additional column showing whether a instance is selected

	Data: data with an additional column showing whether a instance is selected

	This widget selects a subset from an input dataset, based on user-defined conditions. Instances that match the selection rule are placed in the output Matching Data channel.		This widget selects a subset from an input dataset, based on user-defined conditions. Instances that match the selection rule are placed in the output Matching Data channel.
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	[[File:SelectRows-stamped.png\|center\|600px\|thumb]]		[[File:SelectRows-stamped.png\|center\|600px\|thumb]]

	Conditions you want to apply, their operators and related values		# Conditions you want to apply, their operators and related values
			# Add a new condition to the list of conditions.
	Add a new condition to the list of conditions.		# Add all the possible variables at once.
			# Remove all the listed variables at once.
	Add all the possible variables at once.		# Information on the input dataset and information on instances that match the condition(s)
			# Purge the output data.
	Remove all the listed variables at once.		# When the Send automatically box is ticked, all changes will be automatically communicated to other widgets.
			# Produce a report.
	Information on the input dataset and information on instances that match the condition(s)

	Purge the output data.

	When the Send automatically box is ticked, all changes will be automatically communicated to other widgets.

	Produce a report.

	Any change in the composition of the condition will update the information pane (Data Out).		Any change in the composition of the condition will update the information pane (Data Out).

	If Send automatically is selected, then the output is updated on any change in the composition of the condition or any of its terms.		If Send automatically is selected, then the output is updated on any change in the composition of the condition or any of its terms.
	~~Example~~
			==Contoh==

	In the workflow below, we used the Zoo data from the File widget and fed it into the Select Rows widget. In the widget, we chose to output only two animal types, namely fish and reptiles. We can inspect both the original dataset and the dataset with selected rows in the Data Table widget.		In the workflow below, we used the Zoo data from the File widget and fed it into the Select Rows widget. In the widget, we chose to output only two animal types, namely fish and reptiles. We can inspect both the original dataset and the dataset with selected rows in the Data Table widget.

Onnowpurbo at 03:19, 10 January 2020

2020-01-10T03:19:24Z

← Older revision		Revision as of 03:19, 10 January 2020
Line 46:		Line 46:
	In the workflow below, we used the Zoo data from the File widget and fed it into the Select Rows widget. In the widget, we chose to output only two animal types, namely fish and reptiles. We can inspect both the original dataset and the dataset with selected rows in the Data Table widget.		In the workflow below, we used the Zoo data from the File widget and fed it into the Select Rows widget. In the widget, we chose to output only two animal types, namely fish and reptiles. We can inspect both the original dataset and the dataset with selected rows in the Data Table widget.

	~~../../_images/~~SelectRows-Example.png		[[File:SelectRows-Example.png\|center\|600px\|thumb]]

	In the next example, we used the data from the Titanic dataset and similarly fed it into the Box Plot widget. We first observed the entire dataset based on survival. Then we selected only first class passengers in the Select Rows widget and fed it again into the Box Plot. There we could see all the first class passengers listed by their survival rate and grouped by gender.		In the next example, we used the data from the Titanic dataset and similarly fed it into the Box Plot widget. We first observed the entire dataset based on survival. Then we selected only first class passengers in the Select Rows widget and fed it again into the Box Plot. There we could see all the first class passengers listed by their survival rate and grouped by gender.

	~~../../_images/~~SelectRows-Workflow.png		[[File:SelectRows-Workflow.png\|center\|600px\|thumb]]

Onnowpurbo at 03:17, 10 January 2020

2020-01-10T03:17:52Z

← Older revision		Revision as of 03:17, 10 January 2020
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	Condition terms are defined through selecting an attribute, selecting an operator from a list of operators, and, if needed, defining the value to be used in the condition term. Operators are different for discrete, continuous and string attributes.		Condition terms are defined through selecting an attribute, selecting an operator from a list of operators, and, if needed, defining the value to be used in the condition term. Operators are different for discrete, continuous and string attributes.

	~~../../_images/~~SelectRows-stamped.png		[[File:SelectRows-stamped.png\|center\|600px\|thumb]]

	Conditions you want to apply, their operators and related values		Conditions you want to apply, their operators and related values

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/selectrows.html Selects data instances based on conditions over data features. Inputs Data: input data..."

2020-01-10T03:04:31Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/selectrows.html Selects data instances based on conditions over data features. Inputs Data: input data..."

New page

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

Selects data instances based on conditions over data features.

Inputs

Data: input dataset

Outputs

Matching Data: instances that match the conditions

Non-Matching Data: instances that do not match the conditions

Data: data with an additional column showing whether a instance is selected

This widget selects a subset from an input dataset, based on user-defined conditions. Instances that match the selection rule are placed in the output Matching Data channel.

Criteria for data selection are presented as a collection of conjunct terms (i.e. selected items are those matching all the terms in ‘Conditions’).

Condition terms are defined through selecting an attribute, selecting an operator from a list of operators, and, if needed, defining the value to be used in the condition term. Operators are different for discrete, continuous and string attributes.

../../_images/SelectRows-stamped.png

Conditions you want to apply, their operators and related values

Add a new condition to the list of conditions.

Add all the possible variables at once.

Remove all the listed variables at once.

Information on the input dataset and information on instances that match the condition(s)

Purge the output data.

When the Send automatically box is ticked, all changes will be automatically communicated to other widgets.

Produce a report.

Any change in the composition of the condition will update the information pane (Data Out).

If Send automatically is selected, then the output is updated on any change in the composition of the condition or any of its terms.
Example

In the workflow below, we used the Zoo data from the File widget and fed it into the Select Rows widget. In the widget, we chose to output only two animal types, namely fish and reptiles. We can inspect both the original dataset and the dataset with selected rows in the Data Table widget.

../../_images/SelectRows-Example.png

In the next example, we used the data from the Titanic dataset and similarly fed it into the Box Plot widget. We first observed the entire dataset based on survival. Then we selected only first class passengers in the Select Rows widget and fed it again into the Box Plot. There we could see all the first class passengers listed by their survival rate and grouped by gender.

../../_images/SelectRows-Workflow.png

==Refensi==

* https://docs.biolab.si//3/visual-programming/widgets/data/selectrows.html

==Pranala Menarik==

* [[Orange]]