Orange: Mosaic Display - Revision history

Onnowpurbo: /* Output */

2020-04-10T01:27:44Z

Output

← Older revision		Revision as of 01:27, 10 April 2020
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	Selected data: instances selected from the plot		Selected data: instances selected from the plot

	Mosaic plot adalah representasi grafis dari tabel frekuensi dua-arah atau tabel contingency. Mosaic Plot digunakan untuk mem-visualisasi data dari dua atau lebih variabel kualitatif dan pertama kali di perkenalkan tahun 1981 oleh Hartigan dan Kleiner yang kemudian di kembangkan dan di perbaiki oleh Friendly tahun 1994. Mosaic Plot memberi pengguna sarana untuk mengenali hubungan antara berbagai variabel secara lebih efisien.		Mosaic plot adalah representasi grafis dari tabel frekuensi dua-arah atau tabel contingency. Widget Mosaic Plot digunakan untuk mem-visualisasi data dari dua atau lebih variabel kualitatif dan pertama kali di perkenalkan tahun 1981 oleh Hartigan dan Kleiner yang kemudian di kembangkan dan di perbaiki oleh Friendly tahun 1994. Widget Mosaic Plot memberi pengguna sarana untuk mengenali hubungan antara berbagai variabel secara lebih efisien.

	[[File:Mosaic-Display-stamped.png\|center\|400px\|thumb]]		[[File:Mosaic-Display-stamped.png\|center\|400px\|thumb]]

Onnowpurbo: /* Output */

2020-04-10T01:27:10Z

Output

← Older revision		Revision as of 01:27, 10 April 2020
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	Mosaic plot adalah representasi grafis dari tabel frekuensi dua-arah atau tabel contingency. Mosaic Plot digunakan untuk mem-visualisasi data dari dua atau lebih variabel kualitatif dan pertama kali di perkenalkan tahun 1981 oleh Hartigan dan Kleiner yang kemudian di kembangkan dan di perbaiki oleh Friendly tahun 1994. Mosaic Plot memberi pengguna sarana untuk mengenali hubungan antara berbagai variabel secara lebih efisien.		Mosaic plot adalah representasi grafis dari tabel frekuensi dua-arah atau tabel contingency. Mosaic Plot digunakan untuk mem-visualisasi data dari dua atau lebih variabel kualitatif dan pertama kali di perkenalkan tahun 1981 oleh Hartigan dan Kleiner yang kemudian di kembangkan dan di perbaiki oleh Friendly tahun 1994. Mosaic Plot memberi pengguna sarana untuk mengenali hubungan antara berbagai variabel secara lebih efisien.

	[[File:Mosaic-Display-stamped.png\|center\|~~200px~~\|thumb]]		[[File:Mosaic-Display-stamped.png\|center\|400px\|thumb]]

	* Select the variables you wish to see plotted.		* Select the variables you wish to see plotted.

Onnowpurbo at 04:05, 9 April 2020

2020-04-09T04:05:45Z

← Older revision		Revision as of 04:05, 9 April 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html

	Display data ~~in a~~ mosaic plot.		Widget Mosaic Display dapat menampilkan data dalam mosaic plot.

	==Input==		==Input==
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	Selected data: instances selected from the plot		Selected data: instances selected from the plot

	~~The~~ Mosaic plot ~~is a graphical representation of a two~~-~~way frequency table or a~~ contingency ~~table~~. ~~It is used for visualizing~~ data ~~from two or more qualitative variables and was introduced in~~ 1981 by Hartigan ~~and~~ Kleiner ~~and expanded and refined by~~ Friendly in 1994. ~~It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of~~ Mosaic ~~Display, additional reading is available here~~.		Mosaic plot adalah representasi grafis dari tabel frekuensi dua-arah atau tabel contingency. Mosaic Plot digunakan untuk mem-visualisasi data dari dua atau lebih variabel kualitatif dan pertama kali di perkenalkan tahun 1981 oleh Hartigan dan Kleiner yang kemudian di kembangkan dan di perbaiki oleh Friendly tahun 1994. Mosaic Plot memberi pengguna sarana untuk mengenali hubungan antara berbagai variabel secara lebih efisien.

	[[File:Mosaic-Display-stamped.png\|center\|200px\|thumb]]		[[File:Mosaic-Display-stamped.png\|center\|200px\|thumb]]
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	==Contoh==		==Contoh==

	~~We loaded the~~ titanic dataset ~~and connected it to the~~ Mosaic Display ~~widget~~. ~~We decided to focus on two variables~~, ~~namely~~ status, sex ~~and~~ survival. ~~We colored the interiors according to~~ Pearson residuals ~~in order to demonstrate the difference between observed and~~ fitted ~~values~~.		Kita load titanic dataset melalui widget File dan menghubungkannya ke widget Mosaic Display. Kita putuskan untuk memfokuskan pada dua variabel, yaitu status, sex dan survival. Kita beri warna (color) interior berdasarkan Pearson residuals untuk menggambarkan perbedaan anda nilai hasil observasi dan nilai fitted. Kita dapat melihat bahwa tingkat survive untuk pria dan wanita jelas menyimpang dari nilai fitted.

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

	~~We can see that the survival rates for men and women clearly deviate from the fitted value.~~

	==Referensi==		==Referensi==

Onnowpurbo: /* Contoh */

2020-04-09T02:53:25Z

Contoh

← Older revision		Revision as of 02:53, 9 April 2020
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	We loaded the titanic dataset and connected it to the Mosaic Display widget. We decided to focus on two variables, namely status, sex and survival. We colored the interiors according to Pearson residuals in order to demonstrate the difference between observed and fitted values.		We loaded the titanic dataset and connected it to the Mosaic Display widget. We decided to focus on two variables, namely status, sex and survival. We colored the interiors according to Pearson residuals in order to demonstrate the difference between observed and fitted values.

	[[File:Mosaic-Display-Example.png\|center\|~~200px~~\|thumb]]		[[File:Mosaic-Display-Example.png\|center\|600px\|thumb]]

	We can see that the survival rates for men and women clearly deviate from the fitted value.		We can see that the survival rates for men and women clearly deviate from the fitted value.



	==Referensi==		==Referensi==

Onnowpurbo at 02:15, 28 January 2020

2020-01-28T02:15:45Z

← Older revision		Revision as of 02:15, 28 January 2020
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	Display data in a mosaic plot.		Display data in a mosaic plot.

	~~Inputs~~		==Input==

	Data: input dataset		Data: input dataset
	Data subset: subset of instances		Data subset: subset of instances

	~~Outputs~~		==Output==

	Selected data: instances selected from the plot		Selected data: instances selected from the plot

	The Mosaic plot is a graphical representation of a two-way frequency table or a contingency table. It is used for visualizing data from two or more qualitative variables and was introduced in 1981 by Hartigan and Kleiner and expanded and refined by Friendly in 1994. It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of Mosaic Display, additional reading is available here.		The Mosaic plot is a graphical representation of a two-way frequency table or a contingency table. It is used for visualizing data from two or more qualitative variables and was introduced in 1981 by Hartigan and Kleiner and expanded and refined by Friendly in 1994. It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of Mosaic Display, additional reading is available here.
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	[[File:Mosaic-Display-stamped.png\|center\|200px\|thumb]]		[[File:Mosaic-Display-stamped.png\|center\|200px\|thumb]]

			* Select the variables you wish to see plotted.
	Select the variables you wish to see plotted.		* Select interior coloring. You can color the interior according to class or you can use the Pearson residual, which is the difference between observed and fitted values, divided by an estimate of the standard deviation of the observed value. If Compare to total is clicked, a comparison is made to all instances.
	Select interior coloring. You can color the interior according to class or you can use the Pearson residual, which is the difference between observed and fitted values, divided by an estimate of the standard deviation of the observed value. If Compare to total is clicked, a comparison is made to all instances.		* Save image saves the created image to your computer in a .svg or .png format.
	Save image saves the created image to your computer in a .svg or .png format.		* Produce a report.
	Produce a report.

	==Contoh==		==Contoh==

Onnowpurbo at 01:09, 23 January 2020

2020-01-23T01:09:12Z

← Older revision		Revision as of 01:09, 23 January 2020
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	Data: input dataset		Data: input dataset

	Data subset: subset of instances		Data subset: subset of instances

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	The Mosaic plot is a graphical representation of a two-way frequency table or a contingency table. It is used for visualizing data from two or more qualitative variables and was introduced in 1981 by Hartigan and Kleiner and expanded and refined by Friendly in 1994. It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of Mosaic Display, additional reading is available here.		The Mosaic plot is a graphical representation of a two-way frequency table or a contingency table. It is used for visualizing data from two or more qualitative variables and was introduced in 1981 by Hartigan and Kleiner and expanded and refined by Friendly in 1994. It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of Mosaic Display, additional reading is available here.

	~~../../_images/~~Mosaic-Display-stamped.png		[[File:Mosaic-Display-stamped.png\|center\|200px\|thumb]]


	Select the variables you wish to see plotted.		Select the variables you wish to see plotted.

	Select interior coloring. You can color the interior according to class or you can use the Pearson residual, which is the difference between observed and fitted values, divided by an estimate of the standard deviation of the observed value. If Compare to total is clicked, a comparison is made to all instances.		Select interior coloring. You can color the interior according to class or you can use the Pearson residual, which is the difference between observed and fitted values, divided by an estimate of the standard deviation of the observed value. If Compare to total is clicked, a comparison is made to all instances.

	Save image saves the created image to your computer in a .svg or .png format.		Save image saves the created image to your computer in a .svg or .png format.

	Produce a report.		Produce a report.

	~~Example~~		==Contoh==

	We loaded the titanic dataset and connected it to the Mosaic Display widget. We decided to focus on two variables, namely status, sex and survival. We colored the interiors according to Pearson residuals in order to demonstrate the difference between observed and fitted values.		We loaded the titanic dataset and connected it to the Mosaic Display widget. We decided to focus on two variables, namely status, sex and survival. We colored the interiors according to Pearson residuals in order to demonstrate the difference between observed and fitted values.

	~~../../_images/~~Mosaic-Display-Example.png		[[File:Mosaic-Display-Example.png\|center\|200px\|thumb]]

	We can see that the survival rates for men and women clearly deviate from the fitted value.		We can see that the survival rates for men and women clearly deviate from the fitted value.

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html Display data in a mosaic plot. Inputs Data: input dataset Data subset: su..."

2020-01-12T12:11:52Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html Display data in a mosaic plot. Inputs Data: input dataset Data subset: su..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html

Display data in a mosaic plot.

Inputs

Data: input dataset

Data subset: subset of instances

Outputs

Selected data: instances selected from the plot

The Mosaic plot is a graphical representation of a two-way frequency table or a contingency table. It is used for visualizing data from two or more qualitative variables and was introduced in 1981 by Hartigan and Kleiner and expanded and refined by Friendly in 1994. It provides the user with the means to more efficiently recognize relationships between different variables. If you wish to read up on the history of Mosaic Display, additional reading is available here.

../../_images/Mosaic-Display-stamped.png

Select the variables you wish to see plotted.

Select interior coloring. You can color the interior according to class or you can use the Pearson residual, which is the difference between observed and fitted values, divided by an estimate of the standard deviation of the observed value. If Compare to total is clicked, a comparison is made to all instances.

Save image saves the created image to your computer in a .svg or .png format.

Produce a report.

Example

We loaded the titanic dataset and connected it to the Mosaic Display widget. We decided to focus on two variables, namely status, sex and survival. We colored the interiors according to Pearson residuals in order to demonstrate the difference between observed and fitted values.

../../_images/Mosaic-Display-Example.png

We can see that the survival rates for men and women clearly deviate from the fitted value.

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/visualize/mosaicdisplay.html

==Pranala Menarik==

* [[Orange]]