Access, preprocess and monitor electricity consumption data

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This workflow demonstrates how to perform common spreadsheet user's tasks in KNIME, such as
- Data blending,
- Data cleaning,
- Data aggregation, and
- Data visualization.

Nodes

• String Manipulation (Variable)13 ×
• String Configuration6 ×
• Component Input5 ×
• Component Output5 ×
• Rule Engine Variable5 ×
• Merge Variables4 ×
• CASE Switch Variable (End)3 ×
• CASE Switch Variable (Start)3 ×
• CSS Editor2 ×
• Column Filter2 ×
• Column Renamer2 ×
• Date&Time Configuration2 ×
• Integer Configuration2 ×
• Line Plot2 ×
• Math Formula (Variable)2 ×
• Modify Time Zone2 ×
• Single Selection Configuration2 ×
• Table Row to Variable2 ×
• Breakpoint1 ×
• CASE Switch Data (End)1 ×
• Color Manager1 ×
• Column Auto Type Cast1 ×
• Column Rename1 ×
• Concatenate1 ×
• Empty Table Switch1 ×
• Excel Reader1 ×
• Date&Time Part Extractor1 ×
• Extract Variables (Data)1 ×
• GET Request1 ×
• Generic JavaScript View1 ×
• Inject Variables (Data)1 ×
• JSON Path1 ×
• Lag Column1 ×
• Modify Time1 ×
• Pivoting1 ×
• Row Aggregator1 ×
• Row Filter1 ×
• Scatter Plot1 ×
• Sorter1 ×
• String to Date&Time1 ×
• Table Creator1 ×
• Ungroup1 ×
• Variable to Table Row1 ×

Extensions

• No modules found

Links

• The spreadsheet user's guide to data mastery

  www.knime.com/blog/spreadsheet-users-guide-to-data-mastery
• Electricity Consumption in Finland provided by Fingrid

  data.fingrid.fi/en/dataset/electricity-consumption-in-finland