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VII - Women in Goverment

Solution of the 7th JUST KNIME IT Challenge

Points to remember:The entire solution has been inspired from the KNIME solutionand it is not my own work, Problem Statement:In this challenge you will create one or more visualizations to inspect the percentual share of seats held by women in local government, as reported by theUnited Nations Development Programme: Human Development Reports. The purpose of this report is to “ensure women's full and effective participation andequal opportunities for leadership at all levels of decision-making in political, economic and public life.” Since this is a real dataset there will be missing values,and we expect you to augment the data via your own creativity. In particular, we ask that you not only report country specific data but also continent data. Thetrue challenge here will be how you transform this incomplete dataset into one or more visualizations, and which visualizations you deem appropriate for thischallenge. Challenge outline is as follows:Download the dataset and decide the most efficient way to bring it into KNIMEAdd a continent column using whatever method you think is most efficient My Learning:Nodes: Choropleth Map, Conditional Box Plot, Auto Type cast Node 10Node 15Node 17 Joiner Results Tranformingthe data Read Ranking data& Country list Points to remember:The entire solution has been inspired from the KNIME solutionand it is not my own work, Problem Statement:In this challenge you will create one or more visualizations to inspect the percentual share of seats held by women in local government, as reported by theUnited Nations Development Programme: Human Development Reports. The purpose of this report is to “ensure women's full and effective participation andequal opportunities for leadership at all levels of decision-making in political, economic and public life.” Since this is a real dataset there will be missing values,and we expect you to augment the data via your own creativity. In particular, we ask that you not only report country specific data but also continent data. Thetrue challenge here will be how you transform this incomplete dataset into one or more visualizations, and which visualizations you deem appropriate for thischallenge. Challenge outline is as follows:Download the dataset and decide the most efficient way to bring it into KNIMEAdd a continent column using whatever method you think is most efficient My Learning:Nodes: Choropleth Map, Conditional Box Plot, Auto Type cast Node 10Node 15Node 17 Joiner Results Tranformingthe data Read Ranking data& Country list

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Created by: aparajitapallav
Created at: 2022-05-02
On NodePit since: 2022-09-25
Last update: 2024-11-23
Created with KNIME version: v4.6.3
Tags: JUSTKNIMEIT-7

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