Skip to main content

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 ANOVA 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Orange3-Timeseries-0.3.11.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

Orange3_Timeseries-0.3.11-py3-none-any.whl (495.3 kB view details)

Uploaded Python 3

File details

Details for the file Orange3-Timeseries-0.3.11.tar.gz.

File metadata

  • Download URL: Orange3-Timeseries-0.3.11.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for Orange3-Timeseries-0.3.11.tar.gz
Algorithm Hash digest
SHA256 0964e5daccf91588f39e245cc4ef58118bd73cb33faef53f14e6eb46ddb172b5
MD5 f426bf97ae4a1b0b202ae2e5195b6727
BLAKE2b-256 75dc86a7e921e9f10c289bc9258be9270a9e40d37748d90ee034b65fc47c9cad

See more details on using hashes here.

File details

Details for the file Orange3_Timeseries-0.3.11-py3-none-any.whl.

File metadata

  • Download URL: Orange3_Timeseries-0.3.11-py3-none-any.whl
  • Upload date:
  • Size: 495.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for Orange3_Timeseries-0.3.11-py3-none-any.whl
Algorithm Hash digest
SHA256 fb36a608fc7f2bd847c3f362611777bbe9d82a1cf5926a978382cf16a2f471b5
MD5 b80d54799f8244258e2ed1ac0ff673c7
BLAKE2b-256 285d0e054aed31f8edebcc2215aaf02273fbd04eae7aceadac41364cd4486b59

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page