Orange: Line Chart: Difference between revisions

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Visualize time series’ sequence and progression in the most basic time series visualization imaginable.
Visualisasikan  time series’ sequence dan perkembangan dalam visualisasi time series paling mendasar yang bisa dibayangkan.


==Input==
==Input==
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  Forecast: Time series forecast as output by one of the models (like VAR or ARIMA).
  Forecast: Time series forecast as output by one of the models (like VAR or ARIMA).


You can visualize the time series in this widget.
Anda mem-visualisasi-kan time series dengan widget ini.


[[File:Line-chart-stamped.png|center|200px|thumb]]
[[File:Line-chart-stamped.png|center|200px|thumb]]
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==Contoh==
==Contoh==


Attach the model’s forecast to the Forecast input signal to preview it. The forecast is drawn with a dotted line and the confidence intervals as an ranged area.
Berikut adalah model forecast untuk Forecast input signal untuk melihatnya. Prakiraan tdigambar dengan garis putus-putus dan interval kepercayaan (confidence) sebagai area jangkauan.


[[File:Line-chart-ex1.png|center|200px|thumb]]
[[File:Line-chart-ex1.png|center|200px|thumb]]

Revision as of 04:44, 22 February 2020

Sumber: https://orange.biolab.si/widget-catalog/time-series/line_chart/


Visualisasikan time series’ sequence dan perkembangan dalam visualisasi time series paling mendasar yang bisa dibayangkan.

Input

Time series: Time series as output by As Timeseries widget.
Forecast: Time series forecast as output by one of the models (like VAR or ARIMA).

Anda mem-visualisasi-kan time series dengan widget ini.

  • Stack a new line chart below the current charts.
  • Remove the associated stacked chart.
  • Type of chart to draw. Options are: line, step line, column, area, spline.
  • Switch between linear and logarithmic y axis.
  • Select the time series to preview (select multiple series using the Ctrl key).
  • See the selected series in this area.

Contoh

Berikut adalah model forecast untuk Forecast input signal untuk melihatnya. Prakiraan tdigambar dengan garis putus-putus dan interval kepercayaan (confidence) sebagai area jangkauan.


Referensi

Pranala Menarik