Orange: Select by Data Index - Revision history

Onnowpurbo: /* Contoh */

2020-04-16T03:08:21Z

Contoh

← Older revision		Revision as of 03:08, 16 April 2020
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	Penggunaan umum dari widget Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di widget File. Kemudian kita akan mengubah data ini dengan widget PCA. Kita dapat memproyeksikan data yang diubah dalam widget Scatter Plot, di mana kita hanya dapat melihat komponen widget PCA dan bukan feature original-nya.		Penggunaan umum dari widget Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di widget File. Kemudian kita akan mengubah data ini dengan widget PCA. Kita dapat memproyeksikan data yang diubah dalam widget Scatter Plot, di mana kita hanya dapat melihat komponen widget PCA dan bukan feature original-nya.

	Kita dapat select subset data yang kita inginkan (tentunya kita juga dapat men-select seluruh dataset). Kita dapat mengamatinya di widget Data Table, akan terlihat ~~bahww~~ data tersebut sudah ter-transformasi. Jika kita ingin melihat data tersebut dengan feature original-nya, kita perlu mengambil-nya dengan widget Select by Data Index.		Kita dapat select subset data yang kita inginkan (tentunya kita juga dapat men-select seluruh dataset). Kita dapat mengamatinya di widget Data Table, akan terlihat bahwa data tersebut sudah ter-transformasi. Jika kita ingin melihat data tersebut dengan feature original-nya, kita perlu mengambil-nya dengan widget Select by Data Index.

	Sambungkan data original dan subset data dari widget Scatter Plot ke widget Select by Data Index. Widget Select by Data Index akan mencocokan index dari subset data dengan index dari referensi (origiral) data dan mengeluarkan matching reference data. Inspeksi akhir dengan menggunakan widget Data Table yang lain akan mengkonfirmasi data di output adalah dari original data space.		Sambungkan data original dan subset data dari widget Scatter Plot ke widget Select by Data Index. Widget Select by Data Index akan mencocokan index dari subset data dengan index dari referensi (origiral) data dan mengeluarkan matching reference data. Inspeksi akhir dengan menggunakan widget Data Table yang lain akan mengkonfirmasi data di output adalah dari original data space.

Onnowpurbo: /* Contoh */

2020-04-16T03:00:16Z

Contoh

← Older revision		Revision as of 03:00, 16 April 2020
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	Sambungkan data original dan subset data dari widget Scatter Plot ke widget Select by Data Index. Widget Select by Data Index akan mencocokan index dari subset data dengan index dari referensi (origiral) data dan mengeluarkan matching reference data. Inspeksi akhir dengan menggunakan widget Data Table yang lain akan mengkonfirmasi data di output adalah dari original data space.		Sambungkan data original dan subset data dari widget Scatter Plot ke widget Select by Data Index. Widget Select by Data Index akan mencocokan index dari subset data dengan index dari referensi (origiral) data dan mengeluarkan matching reference data. Inspeksi akhir dengan menggunakan widget Data Table yang lain akan mengkonfirmasi data di output adalah dari original data space.

	[[File:Select-by-Data-Index-Example1.png\|center\|~~200px~~\|thumb]]		[[File:Select-by-Data-Index-Example1.png\|center\|600px\|thumb]]

	==Referensi==		==Referensi==

Onnowpurbo at 02:34, 16 April 2020

2020-04-16T02:34:13Z

← Older revision		Revision as of 02:34, 16 April 2020
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	Widget Select by Data Index mencocokkan instance dengan index dari subset data.		Widget Select by Data Index mencocokkan instance data dengan index dari subset data.

	==Input==		==Input==

Onnowpurbo: /* Contoh */

2020-04-16T02:10:47Z

Contoh

← Older revision		Revision as of 02:10, 16 April 2020
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	Penggunaan umum dari widget Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di widget File. Kemudian kita akan mengubah data ini dengan widget PCA. Kita dapat memproyeksikan data yang diubah dalam widget Scatter Plot, di mana kita hanya dapat melihat komponen widget PCA dan bukan feature original-nya.		Penggunaan umum dari widget Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di widget File. Kemudian kita akan mengubah data ini dengan widget PCA. Kita dapat memproyeksikan data yang diubah dalam widget Scatter Plot, di mana kita hanya dapat melihat komponen widget PCA dan bukan feature original-nya.

	~~Now we will~~ select ~~an interesting~~ subset (~~we could also~~ select ~~the entire data set~~). ~~If we observe it in a~~ Data Table, ~~we can see that the~~ data ~~is transformed~~. ~~If we would like to see this~~ data ~~with the~~ original ~~features~~, ~~we will have to retrieve them with~~ Select by Data Index.		Kita dapat select subset data yang kita inginkan (tentunya kita juga dapat men-select seluruh dataset). Kita dapat mengamatinya di widget Data Table, akan terlihat bahww data tersebut sudah ter-transformasi. Jika kita ingin melihat data tersebut dengan feature original-nya, kita perlu mengambil-nya dengan widget Select by Data Index.

	~~Connect the~~ original data ~~and the subset from~~ Scatter Plot to Select by Data Index. ~~The widget will match the indices of the~~ subset ~~with the indices of the reference~~ (~~original~~) data ~~and output the~~ matching reference data. ~~A final inspection in another~~ Data Table ~~confirms the~~ data ~~on the~~ output ~~is from the~~ original data space.		Sambungkan data original dan subset data dari widget Scatter Plot ke widget Select by Data Index. Widget Select by Data Index akan mencocokan index dari subset data dengan index dari referensi (origiral) data dan mengeluarkan matching reference data. Inspeksi akhir dengan menggunakan widget Data Table yang lain akan mengkonfirmasi data di output adalah dari original data space.

	[[File:Select-by-Data-Index-Example1.png\|center\|200px\|thumb]]		[[File:Select-by-Data-Index-Example1.png\|center\|200px\|thumb]]



	==Referensi==		==Referensi==

Onnowpurbo at 23:47, 15 April 2020

2020-04-15T23:47:52Z

← Older revision		Revision as of 23:47, 15 April 2020
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			Widget Select by Data Index mencocokkan instance dengan index dari subset data.
	~~Cocokkan~~ instance dengan index dari subset data.

	==Input==		==Input==
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	Annotated data: reference data set with an additional column defining matches		Annotated data: reference data set with an additional column defining matches

	Select by Data Index akan memungkinkan mencocokkan data dengan index. Setiap baris dalam data set memiliki index dan diberi subset, widget ~~ini~~ dapat mencocokkan index ini dengan index dari data referensi. Paling sering digunakan untuk mengambil data asli dari data yang diubah (~~katakanlah~~, dari ~~ruang~~ PCA).		Widget Select by Data Index akan memungkinkan mencocokkan data dengan index. Setiap baris dalam data set memiliki index dan diberi subset, widget Select by Data Index dapat mencocokkan index ini dengan index dari data referensi. Paling sering digunakan untuk mengambil data asli dari data yang diubah (misalnya, dari PCA space).

	[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]		[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]
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	==Contoh==		==Contoh==

	Penggunaan umum dari Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di File ~~widget~~. Kemudian kita akan mengubah data ini dengan PCA. Kita dapat memproyeksikan data yang diubah dalam Scatter Plot, di mana kita hanya dapat melihat komponen PCA dan bukan feature original-nya.		Penggunaan umum dari widget Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di widget File. Kemudian kita akan mengubah data ini dengan widget PCA. Kita dapat memproyeksikan data yang diubah dalam widget Scatter Plot, di mana kita hanya dapat melihat komponen widget PCA dan bukan feature original-nya.

	Now we will select an interesting subset (we could also select the entire data set). If we observe it in a Data Table, we can see that the data is transformed. If we would like to see this data with the original features, we will have to retrieve them with Select by Data Index.		Now we will select an interesting subset (we could also select the entire data set). If we observe it in a Data Table, we can see that the data is transformed. If we would like to see this data with the original features, we will have to retrieve them with Select by Data Index.

Onnowpurbo at 23:40, 29 January 2020

2020-01-29T23:40:27Z

← Older revision		Revision as of 23:40, 29 January 2020
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	~~Match instances by~~ index ~~from~~ data ~~subset~~.		Cocokkan instance dengan index dari subset data.

	==Input==		==Input==
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	Annotated data: reference data set with an additional column defining matches		Annotated data: reference data set with an additional column defining matches

	Select by Data Index ~~enables matching the~~ data ~~by indices~~. ~~Each row in a~~ data set ~~has an~~ index ~~and given a~~ subset, ~~this~~ widget ~~can match these indices to indices from the reference~~ data. ~~Most often it is used to retrieve the original~~ data ~~from the transformed~~ data (~~say~~, ~~from~~ PCA ~~space~~).		Select by Data Index akan memungkinkan mencocokkan data dengan index. Setiap baris dalam data set memiliki index dan diberi subset, widget ini dapat mencocokkan index ini dengan index dari data referensi. Paling sering digunakan untuk mengambil data asli dari data yang diubah (katakanlah, dari ruang PCA).

	[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]		[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]
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	* Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.		* Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.

	==~~Example~~==		==Contoh==

	~~A typical use of~~ Select by Data Index ~~is to retrieve the~~ original data ~~after a transformation. We will load~~ iris.tab ~~data in the~~ File widget. ~~Then we will transform this~~ data ~~with~~ PCA. ~~We can project the transformed~~ data ~~in a~~ Scatter Plot, ~~where we can only see~~ PCA ~~components and not the~~ original ~~features~~.		Penggunaan umum dari Select by Data Index adalah untuk mengambil data original setelah transformasi. Kita akan memuat data iris.tab di File widget. Kemudian kita akan mengubah data ini dengan PCA. Kita dapat memproyeksikan data yang diubah dalam Scatter Plot, di mana kita hanya dapat melihat komponen PCA dan bukan feature original-nya.

	Now we will select an interesting subset (we could also select the entire data set). If we observe it in a Data Table, we can see that the data is transformed. If we would like to see this data with the original features, we will have to retrieve them with Select by Data Index.		Now we will select an interesting subset (we could also select the entire data set). If we observe it in a Data Table, we can see that the data is transformed. If we would like to see this data with the original features, we will have to retrieve them with Select by Data Index.

Onnowpurbo at 05:16, 27 January 2020

2020-01-27T05:16:12Z

← Older revision		Revision as of 05:16, 27 January 2020
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	Match instances by index from data subset.		Match instances by index from data subset.

	~~Inputs~~		==Input==

	Data: reference data set		Data: reference data set
			Data Subset: subset to match

	~~Data Subset: subset to match~~		==Output==

	~~Outputs~~		Matching data: subset from reference data set that matches indices from subset data
			Unmatched data: subset from reference data set that does not match indices from subset data
	Matching data: subset from reference data set that matches indices from subset data		Annotated data: reference data set with an additional column defining matches

	Unmatched data: subset from reference data set that does not match indices from subset data

	Annotated data: reference data set with an additional column defining matches

	Select by Data Index enables matching the data by indices. Each row in a data set has an index and given a subset, this widget can match these indices to indices from the reference data. Most often it is used to retrieve the original data from the transformed data (say, from PCA space).		Select by Data Index enables matching the data by indices. Each row in a data set has an index and given a subset, this widget can match these indices to indices from the reference data. Most often it is used to retrieve the original data from the transformed data (say, from PCA space).
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	[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]		[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]

	Information on the reference data set. This data is used as index reference.		* Information on the reference data set. This data is used as index reference.
			* Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.
	Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.

	==Example==		==Example==

Onnowpurbo at 04:35, 21 January 2020

2020-01-21T04:35:37Z

← Older revision		Revision as of 04:35, 21 January 2020
Line 21:		Line 21:
	Select by Data Index enables matching the data by indices. Each row in a data set has an index and given a subset, this widget can match these indices to indices from the reference data. Most often it is used to retrieve the original data from the transformed data (say, from PCA space).		Select by Data Index enables matching the data by indices. Each row in a data set has an index and given a subset, this widget can match these indices to indices from the reference data. Most often it is used to retrieve the original data from the transformed data (say, from PCA space).

	~~../../_images/~~Select-by-Data-Index-stamped.png		[[File:Select-by-Data-Index-stamped.png\|center\|200px\|thumb]]

	Information on the reference data set. This data is used as index reference.		Information on the reference data set. This data is used as index reference.
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	Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.		Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.

	Example		==Example==

	A typical use of Select by Data Index is to retrieve the original data after a transformation. We will load iris.tab data in the File widget. Then we will transform this data with PCA. We can project the transformed data in a Scatter Plot, where we can only see PCA components and not the original features.		A typical use of Select by Data Index is to retrieve the original data after a transformation. We will load iris.tab data in the File widget. Then we will transform this data with PCA. We can project the transformed data in a Scatter Plot, where we can only see PCA components and not the original features.
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	Connect the original data and the subset from Scatter Plot to Select by Data Index. The widget will match the indices of the subset with the indices of the reference (original) data and output the matching reference data. A final inspection in another Data Table confirms the data on the output is from the original data space.		Connect the original data and the subset from Scatter Plot to Select by Data Index. The widget will match the indices of the subset with the indices of the reference (original) data and output the matching reference data. A final inspection in another Data Table confirms the data on the output is from the original data space.

	~~../../_images/~~Select-by-Data-Index-Example1.png		[[File:Select-by-Data-Index-Example1.png\|center\|200px\|thumb]]

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/select-by-data-index.html Match instances by index from data subset. Inputs Data: reference data set..."

2020-01-10T22:06:59Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/select-by-data-index.html Match instances by index from data subset. Inputs Data: reference data set..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/select-by-data-index.html

Match instances by index from data subset.

Inputs

Data: reference data set

Data Subset: subset to match

Outputs

Matching data: subset from reference data set that matches indices from subset data

Unmatched data: subset from reference data set that does not match indices from subset data

Annotated data: reference data set with an additional column defining matches

Select by Data Index enables matching the data by indices. Each row in a data set has an index and given a subset, this widget can match these indices to indices from the reference data. Most often it is used to retrieve the original data from the transformed data (say, from PCA space).

../../_images/Select-by-Data-Index-stamped.png

Information on the reference data set. This data is used as index reference.

Information on the data subset. The indices of this data set are used to find matching data in the reference data set. Matching data are on the output by default.

Example

A typical use of Select by Data Index is to retrieve the original data after a transformation. We will load iris.tab data in the File widget. Then we will transform this data with PCA. We can project the transformed data in a Scatter Plot, where we can only see PCA components and not the original features.

Now we will select an interesting subset (we could also select the entire data set). If we observe it in a Data Table, we can see that the data is transformed. If we would like to see this data with the original features, we will have to retrieve them with Select by Data Index.

Connect the original data and the subset from Scatter Plot to Select by Data Index. The widget will match the indices of the subset with the indices of the reference (original) data and output the matching reference data. A final inspection in another Data Table confirms the data on the output is from the original data space.

../../_images/Select-by-Data-Index-Example1.png

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/data/select-by-data-index.html

==Pranala Menarik==

* [[Orange]]