Difference between revisions of "Group 1 Overview"
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| + | <b><font size = 6; color="#FFFFF">G1 Visual Analytics Project - Gender Studies</font></b> | ||
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{|style="background-color:#000066; color:#000066 padding: 5px 0 0 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | {|style="background-color:#000066; color:#000066 padding: 5px 0 0 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| style="padding:0.4em; font-size:100%; background-color:#000066; border-bottom:4px solid #000066; border-top:4px solid #000066; text-align:center; color:#000066" width="10%" |[[Group1_Proposal| <font color="#ffffff" size=2><b>PROPOSAL</b></font>]] | | style="padding:0.4em; font-size:100%; background-color:#000066; border-bottom:4px solid #000066; border-top:4px solid #000066; text-align:center; color:#000066" width="10%" |[[Group1_Proposal| <font color="#ffffff" size=2><b>PROPOSAL</b></font>]] | ||
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==Abstract== | ==Abstract== | ||
<br/> Abstract Write UP... | <br/> Abstract Write UP... | ||
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<br/> | <br/> | ||
<br/> We plan to identify Gender discrimination (if any) across countries. There are a total of 6 sectors to which we will be exploring:s: | <br/> We plan to identify Gender discrimination (if any) across countries. There are a total of 6 sectors to which we will be exploring:s: | ||
| − | <br/>• Agency - Contraceptives, Legislation, Genital Mutilation, etc | + | <br/>• Agency - Contraceptives, Legislation, Genital Mutilation, etc. |
| − | <br/>• Economic and Social Context - Life | + | <br/>• Economic and Social Context - Life Expectancy, Consumer Prices, etc. |
| − | <br/>• Economic Opportunities - Employment, Labour | + | <br/>• Economic Opportunities - Employment, Labour Force Percentage, etc. |
| − | <br/>• Education - Graduation, | + | <br/>• Education - Graduation, Enrollment, etc. |
| − | <br/>• Health - Mortality | + | <br/>• Health - Mortality Rate, Smoking, Immunization, etc. |
| − | <br/>• Public Life and Decision Making - Firms with top female managers, | + | <br/>• Public Life and Decision Making - Firms with top female managers, Decision making in the household, etc. |
<br/> | <br/> | ||
<br/>We hope to study the development of gender rights across time and countries, identify countries with gender inequality, and observe correlations (if any) between gender equality and development of a country. | <br/>We hope to study the development of gender rights across time and countries, identify countries with gender inequality, and observe correlations (if any) between gender equality and development of a country. | ||
==Data Source== | ==Data Source== | ||
| − | <br/> | + | <br/> Data on key gender topics. Themes included are demographics, education, health, labor force, and political participation. |
| − | <br/> http://databank.worldbank.org/data/ | + | <br/> http://databank.worldbank.org/data/ |
==Visualization Tools== | ==Visualization Tools== | ||
Revision as of 18:40, 12 October 2017
G1 Visual Analytics Project - Gender Studies
| PROPOSAL | POSTER | APPLICATION | REPORT |
Abstract
Abstract Write UP...
Objectives
Our team was discussing the possibility of doing Gender Studies for our visual project.
We plan to identify Gender discrimination (if any) across countries. There are a total of 6 sectors to which we will be exploring:s:
• Agency - Contraceptives, Legislation, Genital Mutilation, etc.
• Economic and Social Context - Life Expectancy, Consumer Prices, etc.
• Economic Opportunities - Employment, Labour Force Percentage, etc.
• Education - Graduation, Enrollment, etc.
• Health - Mortality Rate, Smoking, Immunization, etc.
• Public Life and Decision Making - Firms with top female managers, Decision making in the household, etc.
We hope to study the development of gender rights across time and countries, identify countries with gender inequality, and observe correlations (if any) between gender equality and development of a country.
Data Source
Data on key gender topics. Themes included are demographics, education, health, labor force, and political participation.
http://databank.worldbank.org/data/
Visualization Tools
• Tableau
• R: shiny, shinydashboard, ggplot2, plotly.
Challenges
• Data has large volume and complex pattern, thus might be difficult to model.
• More input...
