Orange3 add-on for exploring time series and sequential data.
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for Orange3_Timeseries-0.5.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c889874b0a7fd1cb1b12c225a154c16f99f975e5447ac86e102b5f50c0a9a429 |
|
MD5 | 0f43703ffd5f3f23c318a5a6719b1296 |
|
BLAKE2b-256 | 9f76209b066fa87ecd6cbfa6c1b58e299ad4126ceaad1c8b8760a9ca7b6306b2 |