Hub
Pricing About
WorkflowWorkflow

Time_Series_introduction

ComponentsTime Series Analysis
deganza profile image
Draft Latest edits on 
Jun 19, 2024 7:59 AM
Drag & drop
Like
Download workflow
Workflow preview
c6.1_Time_Series_introduction Learn the basic steps to perform time series analysis with KNIME and the Time Series Components. The data used for this example is the well-known air passenger dataset from the book "Time Series Analysis" by Box, Jenkins, and Reinsel. The data set contains the number of monthly airline passengers in thousands from 1949 to 1960. The prediction is made by decomposing the time series in a trend and a seasonal component.

External resources

  • Time Series Analysis with KNIME - an introduction
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 5.2.5 Note: Not all extensions may be displayed.
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.2, 5.2.4

    knime
  • Go to item
    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime
  • Go to item
    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.1

    knime
  • Go to item
    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.0, 5.2.0

    knime
  • Go to item
    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

    knime

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits