Icon02.1_​Line_​Plot_​Exercise 

02.1_Line_Plot_Exercise This workflow instructs you to build a line plot that compares categories by separate lines

Icon02.1_​Line_​Plot_​Exercise 

02.1_Line_Plot_Exercise This workflow instructs you to build a line plot that compares categories by separate lines

Icon02.1_​Line_​Plot_​Solution 

02.1_Line_Plot_Solution This workflow shows how to build a line plot that compares categories by separate lines

Icon02.1_​Line_​Plot_​Solution 

02.1_Line_Plot_Solution This workflow shows how to build a line plot that compares categories by separate lines

Icon02.1_​Line_​Plot_​Solution 

02.1_Line_Plot_Solution This workflow shows how to build a line plot that compares categories by separate lines

Icon08_​Visualization_​Solution 

Solution to Exercise 8 for the KNIME Analytics Platform for Data Wranglers course - Visualize the customer data using a scatter plot, a stacked area chart, […]

Icon03_​SARIMA_​Models 

This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (ARIMA) models that aim at […]

IconJKISeason2-27 

There has been no description set for this workflow's metadata.

Icon04_​Machine_​Learning 

This workflow predicts the residual of time series (energy consumption) by machine learning models that use lagged values as predictors. The residual of […]

Icon03_​SARIMA_​Models 

This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (ARIMA) models that aim at […]