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PHAR 305, Final Project. It will assess the understanding of how to formulate and test a scientific research question, conduct and interpret a regression analysis, and contextualize the research findings.
Assignment 7
Assignment 7
From Guyana to Queens: The Formation of the Indo-Guyanese Ethnoburb in New York City, 1970-1990
Submitted in partial fulfillment of the requirements for the degree of Master of Arts in Geography & Environmental Sciences, Hunter College The City University of New York 2026
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Project 1
Project 1 DATA 101 Spring 2026. What is the relationship between party affiliation and wanting to raise taxes on the rich?
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This R markdown analysis aims to demonstrate how to build a logistic regression model using a health dataset. It introduces key technical skills, including data merging, exploratory data analysis, chi-square testing, and modeling a binary outcome.
Segmentación de Clientes de Tarjeta de Crédito
Análisis de Segmentación de Clientes: HAC vs. DIANA Este proyecto aplica dos filosofías opuestas de clustering jerárquico sobre un dataset de clientes de tarjetas de crédito para identificar perfiles de consumo y endeudamiento: Enfoque Aglomerativo (HAC): Estrategia Bottom-Up. Empieza considerando cada cliente como un grupo individual y los va fusionando según su similitud hasta formar una jerarquía. Utiliza el Criterio de Ward o Average Linkage para minimizar la varianza interna. Enfoque Divisivo (DIANA): Estrategia Top-Down. Comienza con todos los clientes en un solo gran grupo y los va dividiendo sucesivamente. Es especialmente potente para identificar grandes estructuras antes que detalles finos.
CV Jhon Gajardo Llanos
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Gray Wolf Data Map (AEC:437)
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