Financial _ Product Differentials from Retail

Workflow created for the KNIME forum ...

https://forum.knime.com/t/calculation-on-changing-column-names/38103

DESCRIPTION:
The Challenge is to calculate 'Product Counts' Differentials from retail transactional data in a monthly basis granularity.

The data habitat for a time series (here Months) is a column. 'Moving Aggregation' node allows to calculate absolute differences for time series arranged in columns.

For any comment or bug realted to the workflow, please do not hesitate to leave your comment.

DISCLAIMER:
The sharing of knowledge in KNIME Hub by using these examples and models, have only demonstration purposes in the advantage of the KNIME community.
These are meant to clarify theoretical background of mentioned subjects in caption.
I will not be held responsibility for any damages arising from the use of these models in your investment/valuation related work, without taking formal advise.

External resources

• Data Wrangling _ Deconstructing Aggregated Values