JKISeason3-4_tark
Level: Medium
Description: You work for the United Nations and want to discuss how the causes of death vary across the European Union (EU). You know how to analyze data and generate insightful visualizations, but the data you have at hand is a bit challenging: the meaning of its different columns and codes is not clear. To conclude your work well, you will have to integrate this data with some metadata in XML format, making sense of the different death causes and data attributes. What patterns can you find in the different countries?
Author: Emilio Silvestri
Datasets: Demographic Data from the EU in the KNIME Community Hub
URL: JKISeason3-4 https://www.knime.com/just-knime-it?pk_vid=f1a9625dd14a14c5171698895027e10b
URL: Dataset https://hub.knime.com/-/spaces/-/~5HAA3T665N_vR9Ga/
Nodes
- Row Splitter8 ×
- XPath4 ×
- Column Rename (Regex)3 ×
- Loop End3 ×
- Domain Calculator2 ×
- Group Loop Start2 ×
- Joiner2 ×
- Sorter2 ×
- String Manipulation (Variable)2 ×
- Table Row to Variable Loop Start2 ×
- Variable to Table Column2 ×
- CSV Reader1 ×
- Column Filter1 ×
- Column Splitter1 ×
- Concatenate1 ×
- Constant Value Column1 ×
- GroupBy1 ×
- Heatmap (JavaScript)1 ×
- Loop End (Column Append)1 ×
- Math Formula1 ×
- Missing Value1 ×
- Pivoting1 ×
- Round Double1 ×
- RowID1 ×
- String Manipulation1 ×
- XML Reader1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME XML-Processing
Links
- No links available