data/wchomes.R

In jverzani/UsingR: Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition

wchomes <-
structure(list(Year.Built = c(1990L, 1986L, 1955L, 1983L, 2003L, 
1967L, 1924L, 1980L, 1989L, 1994L, 1970L, 1990L, 1930L, 1973L, 
1985L, 1975L, 1992L, 1981L, 1959L, 1984L, 1959L, 1992L, 1986L, 
1988L, 1987L, 1961L, 1986L, 1992L, 1992L, 1992L, 1944L, 1960L, 
1962L, 1909L, 1991L, 1949L, 1971L, 1982L, 1963L, 1982L, 1958L, 
1986L, 1963L, 1995L, 1980L, 1989L, 1985L, 1965L, 1976L, 1972L, 
1960L, 1985L, 1973L, 1984L, 1949L, 1987L, 1967L, 1987L, 1964L, 
1986L, 1984L, 1994L, 1998L, 1972L, 1947L, 1952L, 1992L, 1969L, 
1990L, 1990L, 1989L, 1975L, 1984L, 1981L, 1986L, 1983L, 1976L, 
1986L, 1976L, 1972L, 1985L, 1982L, 1986L, 1978L, 1960L, 1989L, 
1984L, 1978L, 1981L, 1972L, 1984L, 1972L, 1967L, 1996L, 1960L, 
1995L, 1955L, 1955L, 1956L, 1991L), Sq.Ft = c(2102L, 1740L, 795L, 
1152L, 1404L, 1752L, 1829L, 1246L, 2264L, 3483L, 1646L, 1188L, 
1657L, 1383L, 1212L, 2174L, 1590L, 1901L, 1911L, 3103L, 2514L, 
4071L, 1852L, 1178L, 2678L, 1620L, 1024L, 2978L, 2851L, 1638L, 
1494L, 1483L, 1547L, 705L, 1254L, 720L, 1168L, 1036L, 2340L, 
1400L, 1056L, 1704L, 2280L, 1104L, 1556L, 1664L, 2532L, 816L, 
1285L, 1140L, 1546L, 1476L, 1219L, 2553L, 1272L, 1080L, 2112L, 
968L, 1008L, 1771L, 1316L, 2847L, 1782L, 1795L, 900L, 2044L, 
2145L, 1558L, 1890L, 2912L, 2895L, 1336L, 784L, 1984L, 1194L, 
1146L, 1140L, 1312L, 1296L, 2194L, 1056L, 1740L, 2535L, 1589L, 
1740L, 4650L, 1550L, 1240L, 1764L, 2921L, 1130L, 2346L, 1420L, 
2016L, 1792L, 2930L, 1068L, 1448L, 950L, 1370L), Story = c(1, 
1.5, 1, 1, 1, 1, 1.5, 1, 2, 2.5, 1.5, 1, 1.5, 1, 1.5, 1, 1.5, 
2, 1, 2, 1.75, 1.75, 2, 1, 1.75, 1, 2, 2, 2, 1.75, 1.5, 1, 1, 
1, 1, 1.5, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 2, 1, 
2, 1, 1, 1, 1, 1, 1.75, 2, 1.5, 1, 1.75, 1, 1, 2, 1, 2, 2, 1.75, 
1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1.5, 2, 1, 1, 1.5, 2, 1, 1, 1, 
1, 1, 1, 1, 1, 2, 1, 1, 1, 1), Acres = c(0.77, 0.06, 0.3, 0.68, 
39.38, 0.29, 0.25, 0.29, 0.25, 0.36, 0.29, 0.45, 0.16, 0.46, 
0.85, 0.41, 0.17, 0.26, 0.28, 0.95, 0.85, 0.32, 0.27, 0.16, 0.17, 
0.61, 0.03, 0.73, 0.22, 0.25, 0.16, 0.31, 1, 0.08, 1.1, 0, 0.2, 
0.18, 0.56, 0.04, 0.2, 0.2, 0.36, 0.51, 1.17, 0.21, 1.53, 0.39, 
0.2, 0, 0.4, 0.05, 0.21, 0.36, 0.33, 0.3, 0.33, 0, 0.33, 0.26, 
0.14, 0.36, 0.71, 0.3, 0.25, 0.42, 1.11, 0.35, 0.18, 0.36, 0.98, 
0.37, 0.59, 0.86, 0.46, 0.28, 0.04, 0.03, 0.43, 0.04, 0.18, 0.26, 
1.26, 1.43, 0.47, 0.49, 0.04, 0.32, 0.66, 0.63, 0.24, 0.27, 0.26, 
0.33, 0.5, 0.24, 0.3, 0.56, 0.71, 0.19), No.Baths = c(NA, 3, 
1, 2, 2, 1.5, 3, 2, 2.5, 3, 2, 1, 1, 2, 2, 2.5, 2.5, 2.5, 3, 
2.5, 1, 3, 2.5, 2, 3, 2, 1.5, 2, 3, 2.5, 2, 1.5, 1.5, 1, 2, 1, 
1.5, 1.5, 2.5, 2.5, 1, 2.5, 3, 2, 2, 2.5, 2.5, 1, 1.5, 1, 2, 
2.5, 1.5, 2, 1, 2, 2.5, 1.5, 1, 2.5, 2.5, 2, 2, 2, 1, 1.5, 2.5, 
2, 2.5, 2, 2, 2, 2, 2.5, 2, 2, 2, 2.5, 2, 2.5, 2, 2, 2.5, 2, 
2, 3, 2.5, 2, 2, 3, 2, 2.5, 2, 2, 2, 2.5, 1, 1, 1, 2), Fireplaces = c(1L, 
1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 
1L, 0L, 1L), Total = c(203200L, 119096L, 71666L, 131103L, 4904102L, 
144452L, 496425L, 169187L, 243092L, 432516L, 192794L, 58116L, 
394694L, 135298L, 124355L, 230827L, 213300L, 226295L, 318360L, 
410025L, 263585L, 483528L, 218228L, 119323L, 391614L, 128105L, 
74734L, 326287L, 328222L, 180856L, 300993L, 130450L, 96569L, 
38490L, 125929L, 136695L, 127708L, 90091L, 201386L, 111007L, 
158149L, 142576L, 313633L, 126439L, 215196L, 198737L, 341050L, 
32184L, 122742L, 61829L, 267028L, 160196L, 97958L, 317717L, 128121L, 
159332L, 195396L, 89871L, 90040L, 233238L, 177132L, 432023L, 
132597L, 154726L, 97300L, 523366L, 250180L, 150637L, 242102L, 
379166L, 424333L, 163800L, 42193L, 324032L, 115865L, 147948L, 
153148L, 91833L, 122492L, 184484L, 100207L, 355716L, 431468L, 
187539L, 92749L, 1113750L, 159795L, 156724L, 320419L, 230304L, 
140368L, 219985L, 116464L, 198937L, 295116L, 349916L, 90503L, 
201733L, 106816L, 135402L), Land = c(44000L, 22000L, 28000L, 
50000L, 4797750L, 52000L, 292500L, 76000L, 74000L, 98000L, 85000L, 
26000L, 213180L, 40000L, 34000L, 80000L, 68000L, 90000L, 172250L, 
180000L, 111078L, 110000L, 74000L, 32000L, 140400L, 40000L, 18000L, 
80000L, 86000L, 56000L, 154100L, 40000L, 22000L, 32000L, 40000L, 
0L, 50000L, 22000L, 41400L, 18000L, 80000L, 38000L, 175000L, 
32000L, 68000L, 64000L, 148000L, 10000L, 38000L, 0L, 175000L, 
42000L, 34000L, 98000L, 50000L, 64000L, 66000L, 0L, 28000L, 86000L, 
64000L, 138000L, 38000L, 42000L, 55000L, 344540L, 70000L, 44000L, 
76000L, 96000L, 130000L, 44000L, 26000L, 148000L, 34000L, 58000L, 
66000L, 15000L, 38000L, 66000L, 32000L, 191250L, 180000L, 55000L, 
28000L, 479520L, 38000L, 64000L, 148000L, 80000L, 52000L, 80000L, 
30000L, 62000L, 146000L, 90000L, 32000L, 120000L, 48000L, 36000L
), Building = c(159200L, 97096L, 43666L, 81103L, 106352L, 92452L, 
203925L, 93187L, 169092L, 334516L, 107794L, 32116L, 181514L, 
96298L, 90355L, 150827L, 145300L, 136295L, 146110L, 230025L, 
152507L, 373528L, 144228L, 87323L, 251214L, 89105L, 56734L, 246287L, 
242222L, 124856L, 146893L, 90450L, 74569L, 6490L, 85929L, 136695L, 
77708L, 68091L, 159986L, 93007L, 78149L, 104576L, 138633L, 94439L, 
147196L, 134737L, 193050L, 22184L, 84742L, 61829L, 92028L, 118196L, 
63958L, 219717L, 78121L, 95332L, 129396L, 89871L, 62040L, 147238L, 
113132L, 294023L, 94597L, 112726L, 42300L, 178826L, 180180L, 
106637L, 166012L, 283166L, 294333L, 119800L, 16193L, 176032L, 
81865L, 89948L, 87148L, 76883L, 84492L, 118484L, 68207L, 164466L, 
251468L, 132539L, 64729L, 634230L, 121795L, 92724L, 172419L, 
150304L, 88368L, 139985L, 86464L, 136937L, 149116L, 259916L, 
58503L, 81733L, 58816L, 99402L), Zip = c(27603L, 27604L, 27610L, 
27616L, 27519L, 27604L, 27607L, 27511L, 27609L, 27519L, 27606L, 
27610L, 27604L, 27545L, 27545L, 27511L, 27511L, 27615L, 27607L, 
27615L, 27617L, 27518L, 27609L, 27616L, 27613L, 27529L, 27616L, 
27526L, 27513L, 27513L, 27607L, 27529L, 27562L, 27601L, 27545L, 
27605L, 27604L, 27606L, 27610L, 27615L, 27604L, 27616L, 27609L, 
27545L, 27539L, 27613L, 27613L, 27529L, 27604L, 27606L, 27609L, 
27511L, 27610L, 27511L, 27560L, 27511L, 27511L, 27612L, 27610L, 
27615L, 27613L, 27615L, 27603L, 27529L, 27607L, 27608L, 27526L, 
27529L, 27513L, 27613L, 27606L, 27529L, 27610L, 27612L, 27545L, 
27511L, 27607L, 27604L, 27529L, 27607L, 27529L, 27607L, 27614L, 
27603L, 27529L, 27608L, 27612L, 27511L, 27612L, 27511L, 27502L, 
27511L, 27610L, 27606L, 27612L, 27518L, 27610L, 27609L, 27610L, 
27604L)), .Names = c("Year.Built", "Sq.Ft", "Story", "Acres", 
"No.Baths", "Fireplaces", "Total", "Land", "Building", "Zip"), class = "data.frame", row.names = c(NA, 
-100L))