atibaia: Different relations between sales prices and listing prices

In lfpdroubi/appraiseR: R Package For Real Estate Appraisals

Different relations between sales prices and listing prices

Description

A tibble containing a sample of 65 houses in Atibaia/SP with listing and sales prices.

Usage

atibaia

Format

A tibble with 65 rows and 17 variables:

• Id: id

• Endereco: house address

• Descricao: Advertising text

• Bairro: neighborhood

• AreaConstruida: building area

• DataTransacao: sales date

• Data: sales date, with convenient format for modelling

• Localizacao: indicative of house to be inside gated community or not

• IndiceFiscal: land price per square meter

• PadraoConstrutivo: construction

• OrigemComprador: buyer origin

• FinalidadeCompra: purpose of purchase

• ValorOfertado: List prices

• ValorVendido: Sale prices

• FatorOferta: relation between list and sales prices

• PUvenda: sale price per square meter

• PUoferta: list price per square meter

Examples

data(atibaia)
fitOferta <- lm(log(PUoferta) ~ log(IndiceFiscal) + log(AreaConstruida) +
                 PadraoConstrutivo, data = atibaia)
fitVenda <- lm(log(PUvenda) ~ log(IndiceFiscal) + log(AreaConstruida) +
                PadraoConstrutivo, data = atibaia)
plotModel(fitOferta, ca = TRUE, residuals = TRUE, colour = PadraoConstrutivo,
          at = list(IndiceFiscal = 300, AreaConstruida = 300,
                    PadraoConstrutivo = "Médio"))
plotModel(fitVenda, ca = TRUE, residuals = TRUE, colour = PadraoConstrutivo,
          at = list(IndiceFiscal = 300, AreaConstruida = 300,
                    PadraoConstrutivo = "Médio"))

lfpdroubi/appraiseR documentation built on April 14, 2024, 10:27 p.m.