Orange: Color - Revision history

Onnowpurbo: /* Contoh */

2020-04-20T03:48:37Z

Contoh

← Older revision		Revision as of 03:48, 20 April 2020
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	==Contoh==		==Contoh==

	Kita memilih untuk bekerja dengan set data Iris. Kita membuka widget Color dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian ~~kami~~ membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada widget Scatter Plot.		Kita memilih untuk bekerja dengan set data Iris. Kita membuka widget Color dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kita membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada widget Scatter Plot.

	[[File:Color-Example-1.png\|center\|600px\|thumb]]		[[File:Color-Example-1.png\|center\|600px\|thumb]]

Onnowpurbo: /* Contoh */

2020-04-18T07:48:30Z

Contoh

← Older revision		Revision as of 07:48, 18 April 2020
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	[[File:Color-Example-1.png\|center\|600px\|thumb]]		[[File:Color-Example-1.png\|center\|600px\|thumb]]

	Pada contoh berikut ini, kita ingin menunjukkan penggunaan widget Color dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, ~~kami~~ memilih untuk mewarnai titik sesuai dengan lebar sepal.		Pada contoh berikut ini, kita ingin menunjukkan penggunaan widget Color dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kita memilih untuk mewarnai titik sesuai dengan lebar sepal.

	[[File:Color-Example-2.png\|center\|600px\|thumb]]		[[File:Color-Example-2.png\|center\|600px\|thumb]]

Onnowpurbo: /* Contoh */

2020-04-11T23:00:21Z

Contoh

← Older revision		Revision as of 23:00, 11 April 2020
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	==Contoh==		==Contoh==

	Kita memilih untuk bekerja dengan set data Iris. Kita membuka ~~palet warna~~ dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kami membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada widget Scatter Plot.		Kita memilih untuk bekerja dengan set data Iris. Kita membuka widget Color dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kami membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada widget Scatter Plot.

	[[File:Color-Example-1.png\|center\|600px\|thumb]]		[[File:Color-Example-1.png\|center\|600px\|thumb]]

	~~Untuk~~ contoh ~~kedua~~, kita ingin menunjukkan penggunaan Color ~~widge~~ dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kami memilih untuk mewarnai titik sesuai dengan lebar sepal.		Pada contoh berikut ini, kita ingin menunjukkan penggunaan widget Color dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kami memilih untuk mewarnai titik sesuai dengan lebar sepal.

	[[File:Color-Example-2.png\|center\|600px\|thumb]]		[[File:Color-Example-2.png\|center\|600px\|thumb]]

Onnowpurbo at 22:59, 11 April 2020

2020-04-11T22:59:15Z

← Older revision		Revision as of 22:59, 11 April 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html

	~~Set~~ color legend untuk variabel.		Widget Color men-set color legend untuk variabel.

	==Input==		==Input==
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	Data: data set with a new color legend		Data: data set with a new color legend

	Color ~~widget~~ memungkinkan kita untuk mengatur color legend dalam visualisasi kita sesuai dengan preferensi kita sendiri. Opsi ini memberi kita tool untuk menekankan hasil dan menawarkan beragam pilihan warna untuk menyajikan data kita. Dapat dikombinasikan dengan sebagian besar widget visualisasi.		Widget Color memungkinkan kita untuk mengatur color legend dalam visualisasi kita sesuai dengan preferensi kita sendiri. Opsi ini memberi kita tool untuk menekankan hasil dan menawarkan beragam pilihan warna untuk menyajikan data kita. Dapat dikombinasikan dengan sebagian besar widget visualisasi.

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

	Kita memilih untuk bekerja dengan set data Iris. Kita membuka palet warna dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kami membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada Scatter Plot.		Kita memilih untuk bekerja dengan set data Iris. Kita membuka palet warna dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kami membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada widget Scatter Plot.

	[[File:Color-Example-1.png\|center\|~~200px~~\|thumb]]		[[File:Color-Example-1.png\|center\|600px\|thumb]]

	Untuk contoh kedua, kita ingin menunjukkan penggunaan Color widge dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kami memilih untuk mewarnai titik sesuai dengan lebar sepal.		Untuk contoh kedua, kita ingin menunjukkan penggunaan Color widge dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kami memilih untuk mewarnai titik sesuai dengan lebar sepal.

	[[File:Color-Example-2.png\|center\|~~200px~~\|thumb]]		[[File:Color-Example-2.png\|center\|600px\|thumb]]

	==Referensi==		==Referensi==

Onnowpurbo: /* Contoh */

2020-01-31T03:43:54Z

Contoh

← Older revision		Revision as of 03:43, 31 January 2020
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	==Contoh==		==Contoh==

	~~We chose to work with the~~ Iris ~~data set~~. ~~We opened the color palette and selected three new colors for the three types of Irises~~. ~~Then we opened the~~ Scatter Plot ~~widget and viewed the changes made to the scatter plot~~.		Kita memilih untuk bekerja dengan set data Iris. Kita membuka palet warna dan memilih tiga warna baru untuk tiga jenis Iris. Kemudian kami membuka widget Scatter Plot dan melihat perubahan yang dilakukan pada Scatter Plot.

	[[File:Color-Example-1.png\|center\|200px\|thumb]]		[[File:Color-Example-1.png\|center\|200px\|thumb]]

	~~For our second example~~, ~~we wished to demonstrate the use of the~~ Color ~~widget with continuous variables~~. ~~We put different types of Irises on the~~ x ~~axis and petal length on the~~ y ~~axis~~. ~~We created a new color gradient and named it~~ greed (green + red). ~~In order to show that~~ sepal ~~length is not a deciding factor in differentiating between different types of Irises~~, ~~we chose to color the points according to~~ sepal ~~width~~.		Untuk contoh kedua, kita ingin menunjukkan penggunaan Color widge dengan variabel kontinu. Kita menempatkan berbagai jenis Iris pada sumbu x dan panjang kelopak pada sumbu y. Kita menciptakan gradien warna baru dan menamakannya greed (green + red). Untuk menunjukkan bahwa panjang sepal bukan merupakan faktor penentu dalam membedakan antara berbagai jenis Iris, kami memilih untuk mewarnai titik sesuai dengan lebar sepal.

	[[File:Color-Example-2.png\|center\|200px\|thumb]]		[[File:Color-Example-2.png\|center\|200px\|thumb]]


	==Referensi==		==Referensi==

Onnowpurbo at 03:39, 31 January 2020

2020-01-31T03:39:34Z

← Older revision		Revision as of 03:39, 31 January 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html

	Set color legend ~~for variables~~.		Set color legend untuk variabel.

	==Input==		==Input==

	Data: input data set		Data: input data set

	==Output==		==Output==

	Data: data set with a new color legend		Data: data set with a new color legend

	~~The~~ Color widget ~~enables you to set the~~ color legend ~~in your visualizations according to your own preferences~~. ~~This option provides you with the tools for emphasizing your results and offers a great variety of color options for presenting your~~ data. ~~It can be combined with most visualizations widgets~~.		Color widget memungkinkan kita untuk mengatur color legend dalam visualisasi kita sesuai dengan preferensi kita sendiri. Opsi ini memberi kita tool untuk menekankan hasil dan menawarkan beragam pilihan warna untuk menyajikan data kita. Dapat dikombinasikan dengan sebagian besar widget visualisasi.

	[[File:Color-stamped.png\|center\|200px\|thumb]]		[[File:Color-stamped.png\|center\|200px\|thumb]]

Onnowpurbo at 01:17, 28 January 2020

2020-01-28T01:17:39Z

← Older revision		Revision as of 01:17, 28 January 2020
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	Set color legend for variables.		Set color legend for variables.

	~~Inputs~~		==Input==

	Data: input data set		Data: input data set

	~~Outputs~~		==Output==

	Data: data set with a new color legend		Data: data set with a new color legend
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	[[File:Color-stamped.png\|center\|200px\|thumb]]		[[File:Color-stamped.png\|center\|200px\|thumb]]

	A list of discrete variables. You can set the color of each variable by double-clicking on it and opening the Color palette or the Select color window. The widget also enables text-editing. By clicking on a variable, you can change its name.		* A list of discrete variables. You can set the color of each variable by double-clicking on it and opening the Color palette or the Select color window. The widget also enables text-editing. By clicking on a variable, you can change its name.
			* A list of continuous variables. You can customize the color gradients by double-clicking on them. The widget also enables text-editing. By clicking on a variable, you can change its name. If you hover over the right side side of the gradient, Copy to all appears. You can then apply your customized color gradient to all variables.
	A list of continuous variables. You can customize the color gradients by double-clicking on them. The widget also enables text-editing. By clicking on a variable, you can change its name. If you hover over the right side side of the gradient, Copy to all appears. You can then apply your customized color gradient to all variables.		* Produce a report.
			* Apply changes. If Apply automatically is ticked, changes will be communicated automatically. Alternatively, just click Apply.
	Produce a report.

	Apply changes. If Apply automatically is ticked, changes will be communicated automatically. Alternatively, just click Apply.

	===Discrete variables===		===Discrete variables===
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	[[File:Color-palette-discrete-stamped.png\|center\|200px\|thumb]]		[[File:Color-palette-discrete-stamped.png\|center\|200px\|thumb]]

	Choose a desired color from the palette of basic colors.		* Choose a desired color from the palette of basic colors.
	Move the cursor to choose a custom color from the color palette.		* Move the cursor to choose a custom color from the color palette.
	Choose a custom color from your previously saved color choices.		* Choose a custom color from your previously saved color choices.
	Specify the custom color by:		* Specify the custom color by:
			** entering the red, green, and blue components of the color as values between 0 (darkest) and 255 (brightest)
	entering the red, green, and blue components of the color as values between 0 (darkest) and 255 (brightest)		** entering the hue, saturation and luminescence components of the color as values in the range 0 to 255

	entering the hue, saturation and luminescence components of the color as values in the range 0 to 255

	~~Add the created color to your custom colors.~~

	Click OK to save your choices or Cancel to exit the the color palette.		* Add the created color to your custom colors.
			* Click OK to save your choices or Cancel to exit the the color palette.

	===Numeric variables===		===Numeric variables===
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	[[File:Color-palette-numeric-stamped.png\|center\|200px\|thumb]]		[[File:Color-palette-numeric-stamped.png\|center\|200px\|thumb]]

	Choose a gradient from your saved profiles. The default profile is already set.		* Choose a gradient from your saved profiles. The default profile is already set.
	The gradient palette		* The gradient palette
	Select the left side of the gradient. Double clicking the color opens the Select Color window.		* Select the left side of the gradient. Double clicking the color opens the Select Color window.
	Select the right side of the gradient. Double clicking the color opens the Select Color window.		* Select the right side of the gradient. Double clicking the color opens the Select Color window.
	Pass through black.		* Pass through black.
	Click OK to save your choices or Cancel to exit the color palette.		* Click OK to save your choices or Cancel to exit the color palette.

	==Contoh==		==Contoh==
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	[[File:Color-Example-2.png\|center\|200px\|thumb]]		[[File:Color-Example-2.png\|center\|200px\|thumb]]

Onnowpurbo at 03:07, 22 January 2020

2020-01-22T03:07:43Z

← Older revision		Revision as of 03:07, 22 January 2020
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	The Color widget enables you to set the color legend in your visualizations according to your own preferences. This option provides you with the tools for emphasizing your results and offers a great variety of color options for presenting your data. It can be combined with most visualizations widgets.		The Color widget enables you to set the color legend in your visualizations according to your own preferences. This option provides you with the tools for emphasizing your results and offers a great variety of color options for presenting your data. It can be combined with most visualizations widgets.

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

	A list of discrete variables. You can set the color of each variable by double-clicking on it and opening the Color palette or the Select color window. The widget also enables text-editing. By clicking on a variable, you can change its name.		A list of discrete variables. You can set the color of each variable by double-clicking on it and opening the Color palette or the Select color window. The widget also enables text-editing. By clicking on a variable, you can change its name.
Line 23:		Line 23:
	Apply changes. If Apply automatically is ticked, changes will be communicated automatically. Alternatively, just click Apply.		Apply changes. If Apply automatically is ticked, changes will be communicated automatically. Alternatively, just click Apply.

	Discrete variables		===Discrete variables===

	~~../../_images/~~Color-palette-discrete-stamped.png		[[File:Color-palette-discrete-stamped.png\|center\|200px\|thumb]]

	Choose a desired color from the palette of basic colors.		Choose a desired color from the palette of basic colors.

	Move the cursor to choose a custom color from the color palette.		Move the cursor to choose a custom color from the color palette.

	Choose a custom color from your previously saved color choices.		Choose a custom color from your previously saved color choices.

	Specify the custom color by:		Specify the custom color by:

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	Click OK to save your choices or Cancel to exit the the color palette.		Click OK to save your choices or Cancel to exit the the color palette.

	Numeric variables		===Numeric variables===

	~~../../_images/~~Color-palette-numeric-stamped.png		[[File:Color-palette-numeric-stamped.png\|center\|200px\|thumb]]

	Choose a gradient from your saved profiles. The default profile is already set.		Choose a gradient from your saved profiles. The default profile is already set.

	The gradient palette		The gradient palette

	Select the left side of the gradient. Double clicking the color opens the Select Color window.		Select the left side of the gradient. Double clicking the color opens the Select Color window.

	Select the right side of the gradient. Double clicking the color opens the Select Color window.		Select the right side of the gradient. Double clicking the color opens the Select Color window.

	Pass through black.		Pass through black.

	Click OK to save your choices or Cancel to exit the color palette.		Click OK to save your choices or Cancel to exit the color palette.

	~~Example~~		==Contoh==

	We chose to work with the Iris data set. We opened the color palette and selected three new colors for the three types of Irises. Then we opened the Scatter Plot widget and viewed the changes made to the scatter plot.		We chose to work with the Iris data set. We opened the color palette and selected three new colors for the three types of Irises. Then we opened the Scatter Plot widget and viewed the changes made to the scatter plot.

	~~../../_images/~~Color-Example-1.png		[[File:Color-Example-1.png\|center\|200px\|thumb]]

	For our second example, we wished to demonstrate the use of the Color widget with continuous variables. We put different types of Irises on the x axis and petal length on the y axis. We created a new color gradient and named it greed (green + red). In order to show that sepal length is not a deciding factor in differentiating between different types of Irises, we chose to color the points according to sepal width.		For our second example, we wished to demonstrate the use of the Color widget with continuous variables. We put different types of Irises on the x axis and petal length on the y axis. We created a new color gradient and named it greed (green + red). In order to show that sepal length is not a deciding factor in differentiating between different types of Irises, we chose to color the points according to sepal width.

	~~../../_images/~~Color-Example-2.png		[[File:Color-Example-2.png\|center\|200px\|thumb]]

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html Set color legend for variables. Inputs Data: input data set Outputs Data: data set wi..."

2020-01-12T06:23:07Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/color.html Set color legend for variables. Inputs Data: input data set Outputs Data: data set wi..."

New page

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

Set color legend for variables.

Inputs

Data: input data set

Outputs

Data: data set with a new color legend

The Color widget enables you to set the color legend in your visualizations according to your own preferences. This option provides you with the tools for emphasizing your results and offers a great variety of color options for presenting your data. It can be combined with most visualizations widgets.

../../_images/Color-stamped.png

A list of discrete variables. You can set the color of each variable by double-clicking on it and opening the Color palette or the Select color window. The widget also enables text-editing. By clicking on a variable, you can change its name.

A list of continuous variables. You can customize the color gradients by double-clicking on them. The widget also enables text-editing. By clicking on a variable, you can change its name. If you hover over the right side side of the gradient, Copy to all appears. You can then apply your customized color gradient to all variables.

Produce a report.

Apply changes. If Apply automatically is ticked, changes will be communicated automatically. Alternatively, just click Apply.

Discrete variables

../../_images/Color-palette-discrete-stamped.png

Choose a desired color from the palette of basic colors.

Move the cursor to choose a custom color from the color palette.

Choose a custom color from your previously saved color choices.

Specify the custom color by:

entering the red, green, and blue components of the color as values between 0 (darkest) and 255 (brightest)

entering the hue, saturation and luminescence components of the color as values in the range 0 to 255

Add the created color to your custom colors.

Click OK to save your choices or Cancel to exit the the color palette.

Numeric variables

../../_images/Color-palette-numeric-stamped.png

Choose a gradient from your saved profiles. The default profile is already set.

The gradient palette

Select the left side of the gradient. Double clicking the color opens the Select Color window.

Select the right side of the gradient. Double clicking the color opens the Select Color window.

Pass through black.

Click OK to save your choices or Cancel to exit the color palette.

Example

We chose to work with the Iris data set. We opened the color palette and selected three new colors for the three types of Irises. Then we opened the Scatter Plot widget and viewed the changes made to the scatter plot.

../../_images/Color-Example-1.png

For our second example, we wished to demonstrate the use of the Color widget with continuous variables. We put different types of Irises on the x axis and petal length on the y axis. We created a new color gradient and named it greed (green + red). In order to show that sepal length is not a deciding factor in differentiating between different types of Irises, we chose to color the points according to sepal width.

../../_images/Color-Example-2.png

==Referensi==

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

==Pranala Menarik==

* [[Orange]]