Orange3 add-on for exploring time series and sequential data.

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  • License: Other/Proprietary License (CC-BY-NC-3.0)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags time series, sequence analysis, orange3 add-on, ARIMA, VAR model, forecast
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Project description

Orange3-Timeseries

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data. The add-on includes ARIMA and VAR models, model evaluation, time series preprocessing, seasonal adjustment and a wide array of visualizations. See documentation.

Features

Use time series data

  • reinterpret data as time series
  • induce missing values
  • generate time series from Yahoo Finance stock market data

Analysis of time series data

  • aggregate data by a given time interval
  • decompose the time series into seasonal, trend, and residual components
  • apply rolling window functions to the time series
  • make forecasts for the future
  • evaluate models

Visualize time series data

  • visualize time series’ sequence and progression
  • visualize variables’ auto-correlation
  • visualize time series’ cycles, seasonality, periodicity, and most significant periods

Project details

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Avatar for AlesErjavec from gravatar.com AlesErjavec Avatar for apretnar from gravatar.com apretnar Avatar for biolab-helper from gravatar.com biolab-helper Avatar for janezdemsar from gravatar.com janezdemsar Avatar for lanzagar from gravatar.com lanzagar Avatar for markotoplak from gravatar.com markotoplak Avatar for primozgodec from gravatar.com primozgodec Avatar for rokgomiscek from gravatar.com rokgomiscek

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (CC-BY-NC-3.0)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags time series, sequence analysis, orange3 add-on, ARIMA, VAR model, forecast
Classifiers

Release history Release notifications | RSS feed

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

This version

0.5.1

0.5.0 yanked

Reason this release was yanked:

Pyqtgraph not fixed, Line Chart won't work.

0.4.1

0.4.0

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

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