HW2

Modelo de Regresión Lineal Múltiple: Caso C&A

Visualisasi data merupakan salah satu metode yang efektif untuk mengeksplorasi dan memahami karakteristik data. Dengan menggunakan berbagai jenis grafik, pola distribusi dan tren kemiskinan dapat terlihat dengan lebih jelas. Selain itu, pendekatan spasial juga digunakan untuk memvisualisasikan distribusi kemiskinan secara geografis pada wilayah Provinsi Jawa Barat. Penelitian ini bertujuan untuk melakukan eksplorasi data kemiskinan melalui visualisasi data numerik, kategorik, serta pemetaan spasial.

Data Wrangling with Tidyverse in R (Optional) Apply what you learned in this module by tackling the M03-2 Assignment.

HW2(outputs from sections 3.1 to 3.5 )

This document explain the Categorical Data Analysis subject, Mathematic and Science Faculty, Padjadjaran University

The Encuesta Nacional de Ocupación y Empleo (ENOE), or National Survey of Occupation and Employment, is a survey conducted by Mexico’s National Institute of Statistics and Geography (INEGI) to gather data on the country’s labor market. It collects information on employment, unemployment, underemployment, labor informality, and other characteristics of the population aged 15 years and older. The ENOE is a continuous survey, meaning it is conducted year-round. Data is collected monthly, allowing for the generation of quarterly and annual statistics. For this final project, I will analyze the results of the ENOE survey collected in the second quarter of 2024. After accessing the publicly available microdata for the socio-demographic questionnaire ( https://www.inegi.org.mx/programas/enoe/15ymas/#microdatos ), we downloaded a dataset with 114 variables and 427,123 observations. Each observation correspond to one person interviewed. Data cleaning and variable selection will be crucial steps in my analysis to ensure meaningful results.