Metadata-Version: 2.1
Name: Orange3-Timeseries
Version: 0.5.0
Summary: Orange3 add-on for exploring time series and sequential data.
Home-page: https://github.com/biolab/orange3-timeseries
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
License: CC-BY-NC-3.0
Keywords: time series,sequence analysis,orange3 add-on,ARIMA,VAR model,forecast
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications :: Qt
Classifier: Environment :: Plugins
Classifier: Programming Language :: Python
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: doc
License-File: LICENSE

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](http://orange3-timeseries.readthedocs.org/).

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


