Term: Spring 2016, First project
Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.
proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/
Please see each subfolder for a README file.
Project Website: https://github.com/TZstatsADS/ProjectACS-s16c1t3-Look_at_Income
Team Members: Bob Minnich, Yueying Teng, Yusen Wang, Tianhong Ding
Project 1 - Team 3
Team members: Bob Minnich, Yusen Wang
Summary: In this project, we investigated the American Community Survey and the affects of Location, Age, Sex, Race,Secondary Education, Disability, Work Hours and Travel Time on Personal Income.
[Contribution Statement]
Bob Minnich contributed with the following:
- Investigated Density Plot Comparisons Between multiple races looking at Minutes Traveled to Work, Work Hours Per Week and Personal Income.
- Used weights to determine the population means, averages, standard deviations to allow statistical comparisons of races vs the population statistics
- Looked at differences between Male and female within all of these splits
- Used linear regression to solidify inferences made from visual plots by confirming effects of race and sex on Income within the United States.
- Assisted with bubble plot naming of jobs when using mouse hover Compiled report and prepared presentation.
Yusen Wang contributed with the following:
- Focused on finding how gender and age influence income within the United States.
- Used polygon plot to compare males' and females' income.
- Analyzed skewness and tail of males' and females' income density distribution in a log scale.
- Split people who have income records into different groups based on age.
- Used polygon plot to analyze similarities and differences among all groups.
- Drew boxplot to show income of every age to prove previous findings.
Yueying Teng contributed with the following:
- Proposed the topic of income analysis and worked with the rest of the team to identify the variables of interests.
- Investigated the influence of geographical factors such as birth place and place of residence on average personal income.
- Used googleVis to visualize average personal income according to birth place and state of residence.
Tianhong Ding contributed with the following:
- Explored the topic such as people's residence are related to their orginal nationality.
- Investigated the relationship between people's income and their first entry into the field. Use bubble plot to visualize it.
- Investigated the relationship between people's income and disbility. Use Bar plot to visualize it.