This dataset for this project can be classified as untidy because the columns have multiple variables and the rows have multiple observations. In this project I will tidy this dataset by transforming the data from a wide to a long format that is easier for a data analyst or data scientist to work with.

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Linear transformations

This proposal explores how grocery pricing and store availability differ between low-income and high-income neighborhoods in New York City. Focusing on Brownsville (Brooklyn) and Lower Manhattan, the project investigates whether essential items like eggs and milk are more expensive or less accessible in areas with higher poverty rates. The analysis uses a placeholder dataset for now, with plans to incorporate real data from NYC Open Data, USDA Food Access Research Atlas, and the U.S. Census for the final project.

Menganalisis kondisi makroekonomi di masa mendatang pada tingkat regional, serta merumuskan strategi yang tepat dalam menghadapi dinamika ekonomi tersebut. Analisis dilakukan dengan menggunakan metode Vector Autoregression (VAR) berdasarkan data triwulan periode 2011–2025