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Spatial Statistics - Case study: Neighborhood housing eviction rates in Sacramento, California
The goal of this analysis is to determine whether eviction rates cluster in Sacramento, CA. The main dataset is a shapefile containing 2016 court-ordered house eviction rates for census tracts in the Sacramento Metropolitan Area. Techniques applied: distance based connectivity (features within a given radius are considered to be neighbors), global / local spatial autocorrelation (Moran’s I, Getis-Ord), static maps / interactive mapping (Leaflet / OpenStreetMap). Source of the data: UC Davis - Department of Human Ecology, Community and Regional Development, USA
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Data 23 May 2022
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Data Science Capstone Milestone Report
fpcc2-l3p1
Introdução à inferência estatística
Mathematical Computations - PageRank
Part 1 of the Data 605 final at CUNY School of Professional Studies
Lab3.1 FPCC2
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VerbFrequencyCheck