Difference between revisions of "Group 1 Overview"
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| + | |||
| + | ==Abstract== | ||
| + | <br/> Abstract Write UP... | ||
| + | |||
| + | ==Objectives== | ||
| + | <br/> Our team was discussing the possibility of doing Gender Studies for our visual project. | ||
| + | <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/>• Agency - Contraceptives, Legislation, Genital Mutilation, etc | ||
| + | <br/>• Economic and Social Context - Life expectancy, Consumer prices, etc | ||
| + | <br/>• Economic Opportunities - Employment, Labour force percentage, etc. | ||
| + | <br/>• Education - Graduation, enrollment, etc | ||
| + | <br/>• Health - Mortality rate, smoking, immunization, etc | ||
| + | <br/>• Public Life and Decision Making - Firms with top female managers, decision making in the household, etc. | ||
| + | <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. | ||
| + | |||
| + | ==Data Source== | ||
| + | <br/> <Description of Data> ... | ||
| + | <br/> http://databank.worldbank.org/data/reports.aspx?source=gender-statistics | ||
| + | |||
| + | ==Visualization Tools== | ||
| + | <br/>• Tableau | ||
| + | <br/>• R: shiny, shinydashboard, ggplot2, plotly. | ||
| + | |||
| + | ==Challenges== | ||
| + | <br/>• Data has large volume and complex pattern, thus might be difficult to model. | ||
| + | <br/>• More input... | ||
Revision as of 18:19, 12 October 2017
| 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
<Description of Data> ...
http://databank.worldbank.org/data/reports.aspx?source=gender-statistics
Visualization Tools
• Tableau
• R: shiny, shinydashboard, ggplot2, plotly.
Challenges
• Data has large volume and complex pattern, thus might be difficult to model.
• More input...
