Data Science Projects
Reports
This group project incorporated project management methods by utilizing Kanban Boards, GitHub, and RStudio to synthesize the semester’s work into a fully-functioning GitHub Pages website. My groupmates and I created new variables, cleaned data, and joined tables in order to create an analysis on Neighborhood Change and an evaluation of Tax Credits. I specifically contributed the most to Chapter 3: Part II - Evaluation of Tax Credits.
Code-Throughs
This code-through covers various text and sentiment analysis options in both the quanteda and tidytext packages. We use the 2014 State of the Union Address that President Barack Obama delivered in order to analyze the words used most frequently, as well as the senntiments those words elicited.
This code-through walks through how to create a basic Connection Map, while also providing more advanced options to make your map unique. While there are many methods to uploading maps in R, the maps and leaflet packages are two of the most accessible for completing the task.
This code-through explores how to create various lollipop plots using the ggplot2 package in R.
Dashboards
This dashboard was created using the City of Tempe Open Data Portal. It explores connections between Day and Time of the crash and Age and Substance Abuse presence, while also allowing to analyze characteristics and draw comparisons of the drivers involved in the crash.
Denver MSA Dashboard
This dashboard can be used to detect neighborhood change at the census tract level for the Denver metroplitan statistical area (MSA).
Capstone Projects
MS Capstone Project: Data Analytics in Public Policy and Evaluation
In the past decade, data analytics has become a booming industry. Technological advancements in modern-day computers have allowed for large data storage systems and complex predictive algorithms. While much of the focus is often directed toward major corporate efforts to effectively utilize data, there are numerous other industries that have relied on data analysis techniques for centuries and continue to do so. This paper walks through the history of data analysis by focusing on the development of data visualization, regression modeling, and classification modeling technologies. This information is then applied to the public sector specifically, taking a focus on how public policy can be determined and improved upon by data analytic approaches to evaluation and policy modeling. A closer look is taken at three specific organizations: the U.S. Department of Housing and Urban Development (HUD), the Illinois Housing Development Authority (IHDA), and the UChicago Urban Labs. By deciphering how these federal, state, and local institutions operate, we can envision the future of data analytics in public policy.
Keywords: data analytics, public policy, policy modeling, program evaluation
Honors Thesis: Attitudes and Experiences with Period Poverty at Arizona State University
In recent years, feminist activists have taken their fascination and concern over access to period products in developing countries and diverted their attention to period poverty that exists in the United States. Backed by globalist approaches and the deep history of Menstrual Activism in the US, the Menstrual Equity Movement aims to make policy changes at the state and federal levels to ensure that all menstruators have the products they need to manage menstruation. This exploratory study aims to understand the experiences and attitudes about period poverty at Arizona State University’s campus. Undergraduate menstruators were asked to reflect on general and on campus experiences with access to period products. Quantitative and qualitative analyses were utilized in conducting this research. This study concludes that menstruators’ education would benefit from having access to free period products in all bathrooms.
Keywords: menstrual equity, period poverty, menstrual activism, period products