Orange: Mosaic Display - Revision history

Onnowpurbo: /* Output */

2020-04-10T01:27:44Z

Output

Onnowpurbo: /* Output */

2020-04-10T01:27:10Z

Output

Onnowpurbo at 04:05, 9 April 2020

2020-04-09T04:05:45Z

Onnowpurbo: /* Contoh */

2020-04-09T02:53:25Z

Contoh

Onnowpurbo at 02:15, 28 January 2020

2020-01-28T02:15:45Z

Onnowpurbo at 01:09, 23 January 2020

2020-01-23T01:09:12Z

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]]

@@ Line 12: / Line 12: @@
   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]]

@@ Line 14: / Line 14: @@
 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.

@@ Line 1: / Line 1: @@
 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==
@@ Line 12: / Line 12: @@
   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]]
@@ Line 23: / Line 23: @@
 ==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]]
 ==Referensi==

@@ Line 3: / Line 3: @@
 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.
@@ Line 16: / Line 16: @@
 [[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.
 ==Contoh==