Orange: Line Plot - Revision history

Onnowpurbo at 23:54, 17 March 2020

2020-03-17T23:54:03Z

← Older revision		Revision as of 23:54, 17 March 2020
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	Data: data with an additional column showing whether a point is selected		Data: data with an additional column showing whether a point is selected

	Line plot, jenis plot yang menampilkan data sebagai serangkaian titik, dihubungkan oleh segmen garis lurus. ~~Ini hanya~~ berfungsi untuk data numerik~~, sementara~~ untuk kategorikal dapat digunakan untuk pengelompokan poin data.		Line plot, jenis plot yang menampilkan data sebagai serangkaian titik, dihubungkan oleh segmen garis lurus. Line Plot berfungsi untuk data numerik. Sementara untuk data kategorikal, Line Plot dapat digunakan untuk pengelompokan titik / poin data.

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

Onnowpurbo at 22:30, 17 March 2020

2020-03-17T22:30:54Z

← Older revision		Revision as of 22:30, 17 March 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html

	~~Visualisasi~~ profil data (~~mis.~~, Deret waktu / time series).		Widget Line Plot dapat digunakan untuk memvisualisasi profil data (misalnya, Deret waktu / time series).

	==Input==		==Input==

Onnowpurbo: /* Contoh */

2020-03-17T22:30:23Z

Contoh

← Older revision		Revision as of 22:30, 17 March 2020
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	==Contoh==		==Contoh==

	Line Plot adalah widget visualisasi standar, yang menampilkan profil data, biasanya berupa data numerik yang diurutkan. Dalam contoh sederhana ini, kita akan menampilkan data iris dalam plot garis, dikelompokkan berdasarkan atribut iris. Plot menunjukkan bagaimana panjang petal memisahkan nilai class dengan baik.		Widget Line Plot adalah widget visualisasi standar, yang menampilkan profil data, biasanya berupa data numerik yang diurutkan. Dalam contoh sederhana ini, kita akan menampilkan data iris dalam plot garis, dikelompokkan berdasarkan atribut iris. Plot menunjukkan bagaimana panjang petal memisahkan nilai class dengan baik.

	Jika kita amati ini dalam Scatter Plot, kita dapat memastikan ini memang benar. Panjang petal adalah atribut yang menarik untuk pemisahan class, terutama ketika ditingkatkan dengan lebar petal, yang juga dipisahkan dengan baik dalam plot ~~garis~~.		Jika kita amati ini dalam Widget Scatter Plot, kita dapat memastikan ini memang benar. Panjang petal adalah atribut yang menarik untuk pemisahan class, terutama ketika ditingkatkan dengan lebar petal, yang juga dipisahkan dengan baik dalam line plot.

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


	==Referensi==		==Referensi==

Onnowpurbo at 04:40, 3 February 2020

2020-02-03T04:40:27Z

← Older revision		Revision as of 04:40, 3 February 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html

	~~Visualization of~~ data ~~profiles~~ (~~e.g~~., time series).		Visualisasi profil data (mis., Deret waktu / time series).

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

	Line plot ~~a type of~~ plot ~~which displays the~~ data ~~as a series of points~~, ~~connected by straight line segments~~. ~~It only works for numerical~~ data, ~~while categorical can be used for grouping of the~~ data ~~points~~.		Line plot, jenis plot yang menampilkan data sebagai serangkaian titik, dihubungkan oleh segmen garis lurus. Ini hanya berfungsi untuk data numerik, sementara untuk kategorikal dapat digunakan untuk pengelompokan poin data.

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

	Line Plot ~~is a standard visualization~~ widget, ~~which displays~~ data ~~profiles~~, ~~normally of ordered numerical~~ data. ~~In this simple example~~, ~~we will display the~~ iris ~~data in a line~~ plot, ~~grouped by the~~ iris ~~attribute~~. ~~The plot shows how~~ petal ~~length nicely separates between~~ class ~~values~~.		Line Plot adalah widget visualisasi standar, yang menampilkan profil data, biasanya berupa data numerik yang diurutkan. Dalam contoh sederhana ini, kita akan menampilkan data iris dalam plot garis, dikelompokkan berdasarkan atribut iris. Plot menunjukkan bagaimana panjang petal memisahkan nilai class dengan baik.

	~~If we observe this in a~~ Scatter Plot, ~~we can confirm this is indeed so~~. ~~Petal length is an interesting attribute for separation of classes~~, ~~especially when enhanced with~~ petal ~~width~~, ~~which is also nicely separated in the line~~ plot.		Jika kita amati ini dalam Scatter Plot, kita dapat memastikan ini memang benar. Panjang petal adalah atribut yang menarik untuk pemisahan class, terutama ketika ditingkatkan dengan lebar petal, yang juga dipisahkan dengan baik dalam plot garis.

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

Onnowpurbo at 01:39, 28 January 2020

2020-01-28T01:39:49Z

← Older revision		Revision as of 01:39, 28 January 2020
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	Visualization of data profiles (e.g., time series).		Visualization of data profiles (e.g., time series).

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

	Line plot a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.		Line plot a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.
Line 17:		Line 17:
	[[File:LinePlot-stamped.png\|center\|200px\|thumb]]		[[File:LinePlot-stamped.png\|center\|200px\|thumb]]

	Information on the input data.		* Information on the input data.
			* Select what you wish to display:

	~~Select what you wish to display:~~		** Lines show individual data instances in a plot.
			** Range shows the range of data points between 10th and 90th percentile.
			** Mean adds the line for mean value. If group by is selected, means will be displayed per each group value.
			** Error bars show the standard deviation of each attribute.

	~~Lines show individual data instances in a plot.~~		* Select a categorical attribute to use for grouping of data instances. Use None to show ungrouped data.
	~~Range shows the range of data points between 10th and 90th percentile.~~		* Select, zoom, pan and zoom to fit are the options for exploring the graph. The manual selection of data instances works as a line selection, meaning the data under the selected line plots will be sent on the output. Scroll in or out for zoom.
	~~Mean adds the line for mean value. If group by is selected, means will be displayed per each group value.~~		* If Send Automatically is ticked, changes are communicated automatically. Alternatively, click Send.
	~~Error bars show the standard deviation of each attribute.~~

	Select a categorical attribute to use for grouping of data instances. Use None to show ungrouped data.

	Select, zoom, pan and zoom to fit are the options for exploring the graph. The manual selection of data instances works as a line selection, meaning the data under the selected line plots will be sent on the output. Scroll in or out for zoom.

	If Send Automatically is ticked, changes are communicated automatically. Alternatively, click Send.

	==Contoh==		==Contoh==

Onnowpurbo at 07:00, 22 January 2020

2020-01-22T07:00:57Z

← Older revision		Revision as of 07:00, 22 January 2020
Line 6:		Line 6:

	Data: input dataset		Data: input dataset

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

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	Selected Data: instances selected from the plot		Selected Data: instances selected from the plot

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

	Line plot a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.		Line plot a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.

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

	Information on the input data.		Information on the input data.
Line 24:		Line 22:

	Lines show individual data instances in a plot.		Lines show individual data instances in a plot.

	Range shows the range of data points between 10th and 90th percentile.		Range shows the range of data points between 10th and 90th percentile.

	Mean adds the line for mean value. If group by is selected, means will be displayed per each group value.		Mean adds the line for mean value. If group by is selected, means will be displayed per each group value.

	Error bars show the standard deviation of each attribute.		Error bars show the standard deviation of each attribute.

Line 37:		Line 32:
	If Send Automatically is ticked, changes are communicated automatically. Alternatively, click Send.		If Send Automatically is ticked, changes are communicated automatically. Alternatively, click Send.

	~~Example~~		==Contoh==

	Line Plot is a standard visualization widget, which displays data profiles, normally of ordered numerical data. In this simple example, we will display the iris data in a line plot, grouped by the iris attribute. The plot shows how petal length nicely separates between class values.		Line Plot is a standard visualization widget, which displays data profiles, normally of ordered numerical data. In this simple example, we will display the iris data in a line plot, grouped by the iris attribute. The plot shows how petal length nicely separates between class values.
Line 43:		Line 38:
	If we observe this in a Scatter Plot, we can confirm this is indeed so. Petal length is an interesting attribute for separation of classes, especially when enhanced with petal width, which is also nicely separated in the line plot.		If we observe this in a Scatter Plot, we can confirm this is indeed so. Petal length is an interesting attribute for separation of classes, especially when enhanced with petal width, which is also nicely separated in the line plot.

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

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html Visualization of data profiles (e.g., time series). Inputs Data: input dataset..."

2020-01-12T07:01:14Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/lineplot.html Visualization of data profiles (e.g., time series). Inputs Data: input dataset..."

New page

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

Visualization of data profiles (e.g., time series).

Inputs

Data: input dataset

Data Subset: subset of instances

Outputs

Selected Data: instances selected from the plot

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

Line plot a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.

../../_images/LinePlot-stamped.png

Information on the input data.

Select what you wish to display:

Lines show individual data instances in a plot.

Range shows the range of data points between 10th and 90th percentile.

Mean adds the line for mean value. If group by is selected, means will be displayed per each group value.

Error bars show the standard deviation of each attribute.

Select a categorical attribute to use for grouping of data instances. Use None to show ungrouped data.

Select, zoom, pan and zoom to fit are the options for exploring the graph. The manual selection of data instances works as a line selection, meaning the data under the selected line plots will be sent on the output. Scroll in or out for zoom.

If Send Automatically is ticked, changes are communicated automatically. Alternatively, click Send.

Example

Line Plot is a standard visualization widget, which displays data profiles, normally of ordered numerical data. In this simple example, we will display the iris data in a line plot, grouped by the iris attribute. The plot shows how petal length nicely separates between class values.

If we observe this in a Scatter Plot, we can confirm this is indeed so. Petal length is an interesting attribute for separation of classes, especially when enhanced with petal width, which is also nicely separated in the line plot.

../../_images/LinePlot-Example.png

==Referensi==

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

==Pranala Menarik==

* [[Orange]]