Harmon is a student at UC Berkeley majoring in Data Science. His expertise in data analysis and visualization was pivotal for this project. Harmon worked on analyzing the WHO dataset and creating insightful visualizations that highlight healthcare disparities. His ability to interpret complex data and present it clearly made the research findings accessible and impactful.
Melina is a senior at UC Berkeley majoring in Cognitive Science. She has a strong interest in web development and design, which she utilized in building and optimizing the project website. Melina's technical expertise ensured that the website was both functional and visually appealing, enhancing the overall presentation of the research.
Joseph is a senior at UC Berkeley studying Data Science. With a keen interest in the intersection of health and technology, Joseph played a dual role in both writing and website development for this project. His analytical skills and attention to detail were crucial in creating a cohesive narrative and a user-friendly website.
Jake is a student at UC Berkeley studying Data Science. He collaborated closely with Harmon on data analysis and visualization, bringing his statistical knowledge to the forefront. Jake's skills in handling large datasets and generating meaningful insights were essential for understanding the patterns and trends in healthcare quality across different socio-economic, racial, and gender groups.
Allison is a student at UC Berkeley majoring in Statistics and Data Science. Her skills in data analysis and research was beneficial in interpreting studies and data on obesity and vaccination rates. Her contributions included group organizing, gathering and researching scholastic papers to provide contextualization, and writing for the Data Analysis section.
Julia is a student at UC Berkeley majoring in Molecular and Cell Biology and Data Science. She has a passion for writing and research, which she applies to exploring health disparities. For this project, Julia contributed to writing the narrative and analyzing the socio-economic factors affecting healthcare quality. Her dedication to understanding healthcare issues drives her academic and professional aspirations.
Danh is a student at UC Berkeley majoring in Data Science. His skillset in data analysis, visualization, and EDA was beneficial in interpreting insightful observations that underline the healthcare disparities and difference in quality for people in various socioeconomic status. His contributions to interpreting the data and graphs and gathering information from sources help formatted the project.
Acknowledgements:
We would like to acknowledge the WHO and COVID-19 Vaccine data sets, which provided us with the information and the means to draw conclusions about socio-economic status and the quality of healthcare.
Behind the Project (Data Decisions):
We chose data from the World Health Organization (WHO) to clean and analyze. The WHO's reputation and extensive relevant libraries was a factor in it's selection.
The data was cleaned and graphs were generated with Python. The decision was made due to Python's versatility and the team's familiarity with Python. R, though a popular in data analysis was not selected due to less graphical versatility and a less preferred user-interface (UI).
Jupyter notebooks were used to read, clean and compile the data as well as generate graphs. A large number of classes at Berkeley use this Cal product due it's simplicity and it's recognition with the team allowed for better collaboration with the technical elements of the project.