JKISeason3-1
TAGS: JKISeason3-1
Rossmann - DB - Time Series
Data Preparation: Calculating new variables based on lagged values of weather (+1,+2) and sales and customer data (-12)
1_Load_Clean_and_Explore
Loading and Exploring Time Series Data This workflow demonstrates visual analytics techniques for time series (energy consumption) data. BLOG: […]
Challenge 5 - Date to Fiscal Year
First approach: Label contract dates based on provided FY date list. Limitations and Possible Enhancements: Contract dates with FY not stated in the FY […]
KNIME Weather Data Cleaning and Model Training
KNIME Weather Data Cleaning and Model Training This workflows reads data from Snowflake database containing sensor readings. Seconds are removed in time […]
KNIME Weather Data Inspection and Visualization
KNIME Weather Data Inspection and Visualization This workflow does basic data preprocesing of DateTime values and visualizes results. Visualization […]
01_Progress_Tracker_Examples_Overview
Progress Tracker View - Overview Examples This workflow showcases different examples where the Porgress Tracker View component is adopted. This verified […]
Similarity in trend
Similarity in trend This workflow demonstrates how to compare time series in terms of their trend, as an answer to a KNIME Forum post URL: Matching […]