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JKISeason3-4_​tofusa

Challenge 4

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?

Challenge 4Level: MediumDescription: You work for the United Nations and want to discuss how the causes of death varyacross the European Union (EU). You know how to analyze data and generate insightfulvisualizations, but the data you have at hand is a bit challenging: the meaning of its different columnsand codes is not clear. To conclude your work well, you will have to integrate this data with somemetadata in XML format, making sense of the different death causes and data attributes. Whatpatterns can you find in the different countries?国際連合に勤務するあなたは、欧州連合（EU）内で死因がどのように異なるかを議論したいと考えている。あなたはデータを分析し、洞察に満ちたビジュアライゼーションを作成する方法を知っていますが、手元にあるデータは少し難しいものです。仕事をうまく終わらせるためには、このデータをXML形式のメタデータと統合し、さまざまな死因やデータ属性の意味を理解する必要があります。さまざまな国でどのようなパターンを見つけることができるでしょうか？ Node 1Node 2Node 33 CSV Reader XML Reader Data extraction bar-chart Challenge 4Level: MediumDescription: You work for the United Nations and want to discuss how the causes of death varyacross the European Union (EU). You know how to analyze data and generate insightfulvisualizations, but the data you have at hand is a bit challenging: the meaning of its different columnsand codes is not clear. To conclude your work well, you will have to integrate this data with somemetadata in XML format, making sense of the different death causes and data attributes. Whatpatterns can you find in the different countries?国際連合に勤務するあなたは、欧州連合（EU）内で死因がどのように異なるかを議論したいと考えている。あなたはデータを分析し、洞察に満ちたビジュアライゼーションを作成する方法を知っていますが、手元にあるデータは少し難しいものです。仕事をうまく終わらせるためには、このデータをXML形式のメタデータと統合し、さまざまな死因やデータ属性の意味を理解する必要があります。さまざまな国でどのようなパターンを見つけることができるでしょうか？ Node 1Node 2Node 33 CSV Reader XML Reader Data extraction bar-chart

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Created by: user1
Created at: 2024-05-23
On NodePit since: 2024-06-10
Last update: 2024-11-21
Created with KNIME version: v5.2.3
Tags: JKISeason3-4

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