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datacreation.csv

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+Property_ID,Arrondissement,Property_Type,Size_sqm,Rooms,Floor,Year_Built,Condition,Distance_to_Center_km,Price_EUR
+P10000,4,Apartment,117,4,7,1870,Renovated,2.76,2270802.89
+P10001,8,Studio,89,3,3,1953,Good,10.77,1637076.12
+P10002,4,Apartment,164,5,5,1979,Needs Renovation,3.14,3220782.59
+P10003,2,Apartment,35,1,5,1938,New,4.72,407781.74
+P10004,7,Studio,73,2,2,1957,New,7.96,624879.12
+P10005,18,Studio,78,1,2,1984,Needs Renovation,2.97,667477.59
+P10006,8,Loft,181,2,1,1858,Renovated,0.73,3508979.39
+P10007,1,Studio,144,4,6,2021,Needs Renovation,7.68,1568492.01
+P10008,11,Penthouse,189,3,3,1899,Good,10.11,3574338.67
+P10009,7,Penthouse,16,2,1,1893,New,14.12,236998.46
+P10010,3,Loft,28,4,7,1931,New,8.33,239196.37
+P10011,12,Penthouse,38,2,8,2006,Renovated,12.13,744156.42
+P10012,2,Loft,79,1,7,1978,New,3.38,1567568.82
+P10013,13,Apartment,77,3,7,2012,Renovated,11.96,799730.38
+P10014,20,Penthouse,137,5,9,1890,Good,13.77,2618838.64
+P10015,3,Apartment,86,4,6,2000,Good,10.2,1029486.76
+P10016,10,Apartment,51,3,5,1884,Good,7.35,769874.25
+P10017,4,Loft,115,3,9,1991,Renovated,7.66,1969883.37
+P10018,15,Penthouse,151,2,2,1912,Good,13.49,1254059.46
+P10019,12,Penthouse,66,5,4,2000,Good,9.26,930787.99
+P10020,9,Apartment,157,3,6,1935,Good,13.27,1638567.35
+P10021,18,Studio,184,5,4,1983,Good,7.12,2124759.18
+P10022,15,Loft,122,4,9,1941,Renovated,5.67,1585770.56
+P10023,18,Studio,143,1,8,1965,Renovated,5.61,2255436.25
+P10024,2,Studio,17,3,4,1900,New,4.41,221151.84
+P10025,11,Loft,166,3,7,1962,Renovated,1.44,1971820.24
+P10026,3,Studio,66,4,1,1980,Renovated,4.86,727411.58
+P10027,7,Loft,127,1,1,1979,Needs Renovation,6.46,1422574.27
+P10028,15,Studio,101,5,0,1996,Renovated,10.37,1226226.35
+P10029,5,Studio,67,4,5,2009,Renovated,9.09,896017.66
+P10030,19,Loft,197,3,0,1887,Needs Renovation,5.83,2449863.13
+P10031,12,Studio,130,2,0,1973,Good,7.87,2028306.35
+P10032,17,Loft,107,3,3,1996,New,10.81,1614706.54
+P10033,2,Apartment,161,4,3,2010,Good,6.26,2534473.83
+P10034,6,Loft,53,2,8,2000,New,8.35,956783.63
+P10035,13,Loft,56,3,9,1961,Needs Renovation,8.55,601585.61
+P10036,17,Penthouse,74,1,4,1886,New,13.3,806764.83
+P10037,4,Penthouse,23,1,2,1997,Renovated,13.36,280381.84
+P10038,4,Penthouse,134,1,0,2013,Needs Renovation,13.53,2104386.89
+P10039,6,Loft,98,3,8,1948,New,14.62,1221804.53
+P10040,9,Studio,160,2,2,2018,New,3.05,2212378.41
+P10041,10,Studio,82,1,3,1977,Good,11.29,1141991.42
+P10042,12,Studio,159,1,2,1968,New,4.13,2307166.76
+P10043,20,Penthouse,172,5,7,1876,Needs Renovation,6.8,2380635.8
+P10044,1,Apartment,35,1,0,1910,Renovated,7.74,522299.63
+P10045,10,Studio,18,3,0,2021,New,14.14,310007.67
+P10046,8,Apartment,60,5,8,1886,New,13.96,1116115.7
+P10047,16,Apartment,60,5,0,1965,Good,4.77,892050.58
+P10048,5,Loft,174,1,1,1874,Good,6.22,2053733.15
+P10049,9,Loft,68,2,7,1963,Good,9.42,1302893.74
+P10050,18,Studio,100,2,9,1979,Renovated,5.18,1104996.38
+P10051,13,Penthouse,118,1,5,1888,Needs Renovation,4.76,1137455.81
+P10052,17,Loft,40,3,7,1862,New,1.68,442979.33
+P10053,8,Studio,149,1,3,1914,New,1.53,2314675.21
+P10054,11,Apartment,158,4,1,1915,Good,6.86,2945026.11
+P10055,19,Studio,100,3,5,1907,New,12.98,1358717.62
+P10056,3,Apartment,63,4,5,1950,Good,8.07,533359.06
+P10057,3,Apartment,67,4,4,1952,Renovated,1.74,709520.11
+P10058,3,Studio,123,4,2,1904,Renovated,2.51,1591158.36
+P10059,16,Studio,158,5,9,2007,Good,1.1,3102241.9
+P10060,19,Loft,134,3,6,1939,Good,0.87,1777866.04
+P10061,16,Loft,131,1,0,1907,Good,13.77,2130321.84
+P10062,4,Apartment,48,1,4,1978,Needs Renovation,14.35,764273.69
+P10063,12,Loft,83,5,9,1993,Needs Renovation,2.8,1081921.66
+P10064,15,Apartment,100,1,4,1896,New,1.09,1210255.6
+P10065,2,Loft,158,2,4,1888,Renovated,5.52,2711338.95
+P10066,4,Studio,115,2,4,1949,Good,1.16,1769873.14
+P10067,7,Loft,152,2,0,1918,Good,10.42,2918587.83
+P10068,14,Studio,30,2,3,2001,Renovated,10.32,249544.07
+P10069,15,Studio,177,4,2,2020,New,14.15,1688934.75
+P10070,15,Apartment,81,1,9,1892,New,3.34,1582277.23
+P10071,18,Apartment,155,4,1,1884,New,5.38,1427447.08
+P10072,8,Studio,104,5,9,2011,Needs Renovation,4.28,1886404.39
+P10073,16,Loft,149,4,1,1924,Good,13.22,2430887.96
+P10074,13,Apartment,178,1,8,2013,Good,3.07,3140235.27
+P10075,13,Apartment,166,3,3,1945,Needs Renovation,5.44,3301086.24
+P10076,9,Loft,51,4,6,1948,Renovated,2.0,670544.34
+P10077,14,Loft,31,1,8,1935,Good,4.82,435953.88
+P10078,7,Penthouse,33,1,8,1996,Good,1.82,285180.18
+P10079,2,Apartment,42,4,4,1918,Renovated,4.75,625012.7
+P10080,2,Apartment,39,4,3,1902,Needs Renovation,11.98,626738.64
+P10081,17,Studio,71,5,9,2016,New,14.94,1361151.6
+P10082,17,Apartment,136,5,1,1925,Good,10.48,2290842.03
+P10083,3,Apartment,159,5,7,2019,Good,6.25,2871821.3
+P10084,13,Apartment,41,2,4,2015,Good,14.81,400129.57
+P10085,19,Apartment,123,1,0,1920,New,14.8,2283411.31
+P10086,14,Penthouse,146,4,2,1957,Renovated,8.6,1827206.79
+P10087,7,Penthouse,105,2,6,1975,Good,7.64,1982006.53
+P10088,9,Loft,155,2,9,1997,Good,2.22,2111708.79
+P10089,10,Loft,75,1,2,1941,Renovated,14.45,1269790.49
+P10090,3,Apartment,127,1,5,1966,Needs Renovation,14.47,2339745.07
+P10091,20,Apartment,58,5,4,1929,New,8.15,1139035.66
+P10092,18,Studio,178,3,8,1995,Renovated,2.91,2909398.16
+P10093,5,Penthouse,63,1,5,1852,New,13.57,978433.91
+P10094,8,Penthouse,199,3,7,1951,Renovated,7.11,2262940.1
+P10095,6,Loft,170,5,3,1939,Renovated,6.13,1925857.61
+P10096,20,Apartment,74,2,4,1890,Renovated,4.27,828152.88
+P10097,4,Studio,169,1,4,2006,Renovated,2.43,1919360.39
+P10098,4,Apartment,49,5,2,1896,Good,13.83,945032.71
+P10099,9,Penthouse,24,2,4,1968,Good,6.46,350857.31
+P10100,11,Studio,132,1,0,1860,Renovated,9.11,1816906.21
+P10101,17,Loft,77,1,0,2010,Renovated,7.3,1512200.9
+P10102,2,Apartment,113,1,6,1855,Needs Renovation,10.53,922539.18
+P10103,9,Apartment,109,5,4,1872,New,11.65,2175600.98
+P10104,11,Studio,179,2,0,1934,Renovated,7.03,3257042.6
+P10105,6,Loft,124,1,3,1962,Needs Renovation,11.48,2411627.93
+P10106,18,Apartment,48,4,6,2003,New,7.72,538755.35
+P10107,3,Studio,196,3,0,1903,New,14.54,2791424.55
+P10108,12,Studio,71,1,6,1934,Needs Renovation,9.77,682180.97
+P10109,5,Apartment,89,3,1,1887,Renovated,9.32,1676565.33
+P10110,12,Apartment,96,3,1,1901,Renovated,8.44,872834.41
+P10111,7,Studio,93,4,9,1900,New,10.62,1076522.75
+P10112,12,Loft,43,4,0,1923,Good,11.65,581022.95
+P10113,8,Studio,98,5,4,1975,Good,9.68,1936518.31
+P10114,14,Apartment,129,1,5,1993,Good,9.79,1744264.46
+P10115,11,Loft,118,4,2,1945,Good,7.37,1433464.87
+P10116,9,Studio,107,2,2,1996,New,12.42,1628885.05
+P10117,13,Apartment,106,2,4,1919,Needs Renovation,2.25,1073157.34
+P10118,8,Studio,26,2,0,1927,Needs Renovation,5.29,486995.79
+P10119,12,Penthouse,169,1,8,1905,Good,13.17,1539165.31
+P10120,8,Apartment,77,5,3,1850,Good,1.73,618397.8
+P10121,13,Penthouse,113,5,7,1863,Renovated,9.46,2241364.49
+P10122,3,Penthouse,92,2,7,1964,Renovated,10.84,1561207.92
+P10123,17,Loft,125,3,1,1887,Renovated,8.22,1798170.23
+P10124,1,Apartment,29,1,9,1888,Renovated,5.17,488617.01
+P10125,6,Penthouse,100,2,8,1994,New,5.47,1442402.68
+P10126,4,Loft,39,4,8,1958,Renovated,7.45,478188.81
+P10127,11,Loft,125,2,7,1962,New,8.68,1836613.4
+P10128,13,Studio,56,1,3,1875,Renovated,9.31,674764.27
+P10129,2,Loft,198,3,4,1970,New,3.94,3927960.23
+P10130,17,Studio,164,5,6,1961,Renovated,2.83,1612826.79
+P10131,14,Apartment,89,1,2,1880,Renovated,6.45,797689.64
+P10132,20,Penthouse,50,2,3,1928,New,12.35,745599.05
+P10133,10,Penthouse,127,3,1,1928,Needs Renovation,8.26,2266992.89
+P10134,11,Loft,40,3,4,1919,Renovated,14.54,722519.63
+P10135,18,Studio,82,3,3,1962,Good,8.18,852314.82
+P10136,14,Loft,15,2,5,1886,Good,7.84,258200.31
+P10137,20,Penthouse,114,5,0,1983,Needs Renovation,5.38,1640582.34
+P10138,18,Apartment,24,5,1,1862,Renovated,10.43,210251.99
+P10139,10,Studio,98,1,8,1866,Needs Renovation,2.19,947257.93
+P10140,19,Penthouse,157,3,0,1918,Needs Renovation,12.54,1913267.81
+P10141,15,Loft,192,5,8,2011,Good,3.13,3219918.66
+P10142,17,Loft,49,1,5,1909,Good,12.71,827778.94
+P10143,3,Penthouse,86,3,2,2014,Renovated,12.31,1508715.87
+P10144,3,Studio,137,2,8,1891,Renovated,6.19,2588531.92
+P10145,8,Studio,54,3,0,1872,Good,6.86,836417.8
+P10146,1,Apartment,167,1,6,1902,Good,13.64,3138747.44
+P10147,16,Apartment,193,3,2,1984,Needs Renovation,11.09,2543419.18
+P10148,14,Studio,56,4,0,2004,Needs Renovation,11.93,981584.93
+P10149,16,Loft,52,1,4,2004,Good,11.29,610514.57
+P10150,5,Apartment,100,2,9,1946,New,1.99,1714950.42
+P10151,14,Studio,155,4,3,1864,Good,12.06,2090020.41
+P10152,17,Loft,19,5,1,2004,New,9.8,204269.32
+P10153,18,Studio,178,4,4,1997,New,3.13,2953758.5
+P10154,15,Studio,88,2,9,1990,Needs Renovation,2.52,1704331.21
+P10155,17,Penthouse,125,4,3,1917,Needs Renovation,11.96,1889444.36
+P10156,20,Loft,51,2,9,1986,Needs Renovation,6.65,880002.96
+P10157,6,Loft,43,1,6,1850,Needs Renovation,2.14,821593.35
+P10158,9,Studio,163,2,5,1906,Renovated,5.32,2944884.66
+P10159,17,Loft,196,3,4,1902,Good,5.36,2958679.82
+P10160,9,Loft,194,1,8,1884,New,6.27,1562783.35
+P10161,10,Studio,39,2,1,1984,Renovated,5.53,742492.43
+P10162,11,Penthouse,176,3,2,2001,New,8.88,2363084.29
+P10163,5,Studio,194,5,0,1878,Good,8.92,3681761.26
+P10164,13,Studio,164,2,4,1898,Good,3.08,1337769.89
+P10165,3,Loft,98,1,5,1935,Needs Renovation,1.74,958827.37
+P10166,11,Loft,118,1,6,1972,Needs Renovation,12.1,1368227.81
+P10167,2,Studio,76,5,7,1868,Needs Renovation,1.45,1177978.1
+P10168,13,Apartment,92,3,1,1962,Needs Renovation,6.31,1236430.87
+P10169,16,Apartment,180,3,0,1857,Renovated,13.0,1775318.93
+P10170,10,Loft,117,3,9,1959,Needs Renovation,8.14,1460126.28
+P10171,18,Studio,101,4,6,1942,Needs Renovation,6.42,1825824.1
+P10172,8,Penthouse,71,3,7,1903,Needs Renovation,5.42,764875.73
+P10173,16,Apartment,81,3,7,2011,Needs Renovation,12.18,1282469.22
+P10174,11,Loft,102,3,3,2014,Good,2.55,1994282.77
+P10175,15,Studio,156,2,6,2010,New,3.51,1272339.6
+P10176,13,Apartment,161,5,1,1851,New,13.7,2981289.95
+P10177,14,Studio,162,3,1,1968,Needs Renovation,4.39,1800319.15
+P10178,6,Apartment,19,5,8,1902,Renovated,4.77,245345.86
+P10179,13,Penthouse,100,4,9,2007,Good,7.57,968135.81
+P10180,15,Penthouse,142,1,0,1863,Renovated,11.25,1962062.34
+P10181,13,Penthouse,39,1,3,2003,Needs Renovation,8.12,377218.64
+P10182,9,Apartment,123,2,5,1995,Needs Renovation,8.18,1385925.61
+P10183,1,Apartment,56,4,1,1866,Renovated,6.38,782716.99
+P10184,8,Apartment,136,4,9,1935,New,2.48,1424879.52
+P10185,1,Studio,71,3,8,1902,Good,3.04,1076995.96
+P10186,1,Studio,187,1,9,1895,Good,1.18,2435721.06
+P10187,5,Loft,68,3,4,1885,New,11.68,694446.67
+P10188,19,Studio,43,5,3,1962,Needs Renovation,10.96,775932.76
+P10189,9,Penthouse,68,2,7,1999,Good,11.12,867665.89
+P10190,20,Apartment,47,2,3,1930,Good,7.7,393587.29
+P10191,10,Apartment,123,3,9,1922,New,1.59,1477343.98
+P10192,10,Loft,31,1,7,1891,Needs Renovation,7.17,432322.77
+P10193,7,Apartment,49,3,2,1951,Good,9.06,437726.02
+P10194,4,Penthouse,33,5,0,1866,New,14.28,300266.5
+P10195,19,Apartment,69,1,7,1932,Renovated,11.12,705290.07
+P10196,18,Loft,163,1,5,1874,Renovated,13.6,2592580.27
+P10197,3,Penthouse,26,3,9,1896,New,1.14,516152.42
+P10198,14,Loft,30,1,4,1935,New,13.77,305007.12
+P10199,14,Penthouse,28,5,2,1921,Needs Renovation,14.58,469623.95
+P10200,5,Loft,96,4,1,1952,Good,1.04,1740920.91
+P10201,17,Penthouse,173,3,1,1980,Needs Renovation,10.6,2547965.85
+P10202,15,Loft,182,2,6,1864,Renovated,12.16,3038890.63
+P10203,11,Studio,18,5,1,2010,New,13.35,286917.52
+P10204,9,Loft,184,4,6,2019,Good,14.86,1986374.52
+P10205,15,Loft,27,5,2,1972,Renovated,14.97,340404.3
+P10206,1,Loft,43,1,4,1865,Renovated,13.17,551396.35
+P10207,6,Loft,135,2,6,1933,Good,11.19,1228552.92
+P10208,12,Penthouse,191,3,7,2007,Renovated,12.87,2599076.28
+P10209,9,Penthouse,160,5,0,1922,New,2.09,1360818.92
+P10210,17,Studio,135,4,9,1886,New,11.9,1433571.3
+P10211,8,Loft,185,4,7,1912,Needs Renovation,14.2,2407029.32
+P10212,18,Studio,25,5,6,1901,Needs Renovation,1.44,496755.47
+P10213,16,Loft,86,4,5,1966,New,12.54,1552636.16
+P10214,3,Penthouse,124,2,8,2018,Good,3.2,1061854.69
+P10215,13,Studio,17,5,6,1858,Renovated,13.95,147799.91
+P10216,19,Penthouse,136,1,9,2012,Needs Renovation,11.49,1371797.05
+P10217,18,Penthouse,76,1,2,1862,Needs Renovation,3.75,748353.07
+P10218,18,Penthouse,103,1,4,1947,Renovated,7.13,1930122.9
+P10219,15,Penthouse,198,3,8,2002,Renovated,12.86,2232551.47
+P10220,9,Studio,184,1,8,1854,New,11.16,2198545.41
+P10221,7,Penthouse,138,3,9,1995,New,1.68,2301983.71
+P10222,18,Studio,74,5,0,1963,Good,7.68,1386298.18
+P10223,7,Loft,76,5,2,1905,Renovated,10.1,1434740.51
+P10224,19,Penthouse,54,3,0,1855,New,8.06,992191.39
+P10225,7,Penthouse,94,4,8,1862,Good,12.64,1711456.19
+P10226,12,Studio,103,5,5,1856,Renovated,13.28,1664653.99
+P10227,1,Studio,59,2,6,2019,Renovated,2.37,801552.77
+P10228,2,Apartment,121,5,1,1949,Renovated,8.56,2047573.99
+P10229,5,Loft,91,5,1,1862,New,9.45,1010487.66
+P10230,1,Penthouse,127,1,1,1937,Needs Renovation,12.37,1978883.82
+P10231,16,Loft,84,3,9,1912,Renovated,6.19,1439116.13
+P10232,6,Apartment,93,5,3,1997,Renovated,10.47,858400.86
+P10233,16,Apartment,82,3,5,1994,New,8.94,819715.55
+P10234,13,Loft,36,2,1,1899,New,14.86,320267.99
+P10235,19,Apartment,189,5,2,1974,Good,6.06,2523433.44
+P10236,5,Penthouse,43,3,2,1907,New,0.51,767900.68
+P10237,8,Apartment,188,2,0,1948,Needs Renovation,7.05,3753512.87
+P10238,20,Studio,53,5,3,1881,Needs Renovation,1.69,865181.9
+P10239,15,Loft,98,3,0,1975,Renovated,2.69,1105353.2
+P10240,19,Loft,106,5,4,1933,Renovated,6.27,2048279.45
+P10241,19,Apartment,199,5,0,1907,New,13.46,3941738.62
+P10242,7,Studio,29,2,0,1874,Renovated,10.87,306160.44
+P10243,3,Studio,32,4,7,1909,Good,3.19,437712.6
+P10244,6,Apartment,159,5,1,1980,Good,12.05,2753746.8
+P10245,1,Loft,186,5,9,1980,Needs Renovation,3.19,3523218.03
+P10246,20,Loft,29,1,6,1866,Renovated,9.31,232428.68
+P10247,2,Studio,98,4,8,1912,Renovated,9.95,1440693.3
+P10248,10,Loft,131,2,0,1921,New,7.24,2301762.91
+P10249,8,Penthouse,78,2,5,1881,Good,10.03,1073222.75
+P10250,14,Apartment,47,4,7,1860,Good,7.47,815835.96
+P10251,5,Penthouse,102,1,8,1895,Good,2.57,1112263.1
+P10252,3,Apartment,94,4,9,2017,Good,0.64,1544380.49
+P10253,10,Penthouse,111,2,8,2007,Needs Renovation,0.98,1599610.62
+P10254,4,Loft,130,2,1,2015,Renovated,8.73,1659200.31
+P10255,13,Penthouse,188,2,1,1955,Needs Renovation,2.93,3310123.59
+P10256,15,Apartment,63,3,5,1858,New,14.08,597910.29
+P10257,14,Penthouse,117,1,7,1921,Renovated,10.85,1931520.97
+P10258,1,Apartment,76,4,6,1933,Good,8.52,917578.58
+P10259,19,Apartment,148,2,2,1976,Renovated,8.13,2576086.61
+P10260,19,Apartment,120,3,6,1861,Good,2.81,2003750.25
+P10261,16,Loft,59,3,6,1949,Renovated,11.29,627203.5
+P10262,6,Loft,133,5,2,1893,Needs Renovation,8.55,2115297.61
+P10263,3,Loft,160,3,7,1954,Renovated,7.65,1718633.1
+P10264,14,Penthouse,170,2,5,1946,Renovated,12.69,2182653.18
+P10265,4,Studio,63,5,7,1997,Renovated,9.62,1053739.82
+P10266,14,Loft,122,4,1,1945,Renovated,9.03,1715092.91
+P10267,13,Apartment,131,2,1,1928,Needs Renovation,13.56,1813043.58
+P10268,3,Penthouse,20,2,9,1974,Renovated,3.55,398112.0
+P10269,11,Apartment,32,5,2,1875,Needs Renovation,10.88,537515.4
+P10270,17,Apartment,101,2,1,1968,Needs Renovation,6.49,1095902.51
+P10271,14,Apartment,180,5,5,1909,Good,6.37,2384277.24
+P10272,17,Penthouse,28,1,6,1919,Needs Renovation,9.96,446640.75
+P10273,15,Apartment,103,1,2,1854,Good,5.22,1317220.79
+P10274,9,Studio,182,4,6,1896,Renovated,3.9,1741828.08
+P10275,15,Loft,24,3,9,1942,New,5.39,319303.02
+P10276,1,Studio,108,1,3,1857,Good,9.45,1422430.23
+P10277,10,Apartment,15,1,3,1877,Needs Renovation,1.03,150067.54
+P10278,3,Studio,179,5,0,1969,New,12.18,2577983.62
+P10279,15,Apartment,170,4,3,1963,Good,14.81,2461407.91
+P10280,16,Penthouse,51,4,0,1968,Renovated,3.76,439638.46
+P10281,14,Loft,73,5,2,1861,Needs Renovation,2.65,674498.65
+P10282,8,Loft,195,2,1,1899,Good,14.61,3818377.75
+P10283,13,Studio,53,3,5,1933,Good,2.32,734906.43
+P10284,3,Penthouse,140,5,1,1973,Needs Renovation,10.26,1361151.17
+P10285,11,Penthouse,99,1,5,1854,New,14.47,1660225.42
+P10286,10,Penthouse,189,2,6,2020,Needs Renovation,10.41,3012582.17
+P10287,5,Loft,128,2,7,1896,Needs Renovation,8.77,1973013.36
+P10288,12,Penthouse,90,3,3,1882,Needs Renovation,9.21,1725424.59
+P10289,15,Penthouse,45,5,8,1939,Good,5.55,720164.62
+P10290,8,Loft,77,1,8,1862,Good,11.84,1416589.33
+P10291,14,Apartment,91,1,1,1974,Renovated,11.6,847147.72
+P10292,16,Loft,146,3,1,1990,Needs Renovation,12.07,2583346.09
+P10293,5,Loft,97,5,7,1903,New,9.91,1727959.03
+P10294,5,Penthouse,157,1,6,1992,New,10.58,1946413.53
+P10295,15,Apartment,74,5,0,1884,Needs Renovation,3.8,990439.94
+P10296,1,Studio,25,3,9,2023,Needs Renovation,7.76,250533.32
+P10297,5,Apartment,99,2,1,2005,Needs Renovation,0.87,1922356.53
+P10298,9,Penthouse,168,1,1,1897,Needs Renovation,8.91,2110474.37
+P10299,3,Penthouse,58,4,6,1919,Needs Renovation,11.33,887101.94
+P10300,11,Loft,122,3,4,2000,New,6.75,1739086.77
+P10301,20,Apartment,94,5,8,1885,Good,13.94,1764978.46
+P10302,10,Studio,29,4,5,1868,New,1.97,557183.74
+P10303,14,Apartment,139,4,3,1876,New,13.98,1540303.31
+P10304,15,Studio,170,3,9,2013,Renovated,10.91,2545101.39
+P10305,1,Apartment,16,1,9,1938,Renovated,8.08,315531.25
+P10306,2,Penthouse,21,4,6,1905,Renovated,12.0,213722.46
+P10307,12,Loft,56,4,5,1856,Good,12.33,733282.43
+P10308,8,Loft,186,5,6,1999,Good,12.38,2901193.87
+P10309,6,Studio,151,2,9,1971,New,5.73,1592225.25
+P10310,20,Loft,184,1,4,1917,Good,4.48,1995010.19
+P10311,16,Studio,33,4,9,1938,Good,1.89,431800.35
+P10312,15,Penthouse,178,2,1,1918,Needs Renovation,2.94,2388975.76
+P10313,9,Apartment,122,2,4,1999,Needs Renovation,0.84,1668313.84
+P10314,10,Studio,157,3,9,1927,New,9.66,2399765.16
+P10315,15,Penthouse,199,1,2,1856,Renovated,10.58,3950831.82
+P10316,14,Penthouse,81,2,6,2018,Needs Renovation,10.54,1064210.03
+P10317,10,Studio,38,4,3,1951,Needs Renovation,8.89,677330.42
+P10318,16,Apartment,181,5,7,1946,Good,9.14,1620498.87
+P10319,13,Penthouse,87,1,8,1862,Renovated,8.03,932629.28
+P10320,10,Apartment,144,4,4,1857,Needs Renovation,13.26,2535016.05
+P10321,9,Apartment,64,3,9,1852,New,3.26,921311.58
+P10322,20,Loft,144,4,0,1884,Renovated,11.09,2295658.12
+P10323,8,Penthouse,44,4,9,1885,Good,14.44,383755.16
+P10324,7,Penthouse,45,1,9,2007,Good,7.03,452058.09
+P10325,4,Apartment,158,4,7,1852,Renovated,13.94,1922995.61
+P10326,15,Apartment,37,4,5,1854,Renovated,11.19,728529.1
+P10327,5,Apartment,122,1,4,1933,Renovated,9.54,2208736.74
+P10328,11,Loft,46,1,5,1991,Good,2.21,703884.5
+P10329,7,Studio,165,2,8,1934,Renovated,5.52,1996515.51
+P10330,17,Penthouse,89,3,6,2003,Good,9.21,1135976.26
+P10331,9,Loft,69,3,5,1909,Renovated,12.85,1203036.49
+P10332,11,Apartment,26,1,1,2022,Needs Renovation,6.02,244306.32
+P10333,3,Studio,172,3,3,1863,Good,1.67,3006622.82
+P10334,13,Penthouse,163,3,1,2012,New,5.52,1643413.95
+P10335,13,Apartment,34,2,8,1874,Renovated,7.45,533516.61
+P10336,18,Apartment,47,4,0,1959,Needs Renovation,13.52,717993.21
+P10337,12,Penthouse,139,4,8,1983,Needs Renovation,2.62,1950280.22
+P10338,12,Apartment,131,2,1,1874,Good,3.87,1155166.87
+P10339,16,Apartment,187,4,3,1995,Renovated,4.53,3238967.83
+P10340,20,Studio,148,5,1,1909,New,5.79,1215413.55
+P10341,15,Penthouse,45,3,1,1859,Needs Renovation,3.57,664798.19
+P10342,4,Studio,140,3,7,1932,New,2.97,2387145.95
+P10343,2,Penthouse,163,1,2,1856,Needs Renovation,10.54,2834953.46
+P10344,4,Apartment,111,4,7,1866,Good,3.87,1731408.58
+P10345,18,Studio,138,4,3,1973,Needs Renovation,12.8,1391734.3
+P10346,15,Penthouse,192,5,2,1856,Needs Renovation,8.12,3578736.11
+P10347,19,Studio,28,5,4,1979,Needs Renovation,2.44,354058.46
+P10348,4,Loft,163,5,9,1969,Needs Renovation,8.26,2791126.89
+P10349,9,Apartment,79,5,1,1931,Renovated,1.44,643490.49
+P10350,7,Loft,174,4,0,1988,Needs Renovation,7.09,2167501.09
+P10351,8,Penthouse,66,5,3,1883,New,5.21,914686.98
+P10352,12,Penthouse,96,3,3,2006,New,7.16,1201023.3
+P10353,13,Penthouse,35,2,8,1866,Good,10.05,654675.57
+P10354,4,Loft,183,1,0,1859,New,13.99,3240308.08
+P10355,7,Apartment,35,4,1,1857,New,13.48,547624.62
+P10356,11,Studio,191,1,7,2022,Good,2.68,1680766.48
+P10357,19,Studio,174,4,4,1857,New,1.1,2461519.37
+P10358,18,Studio,101,3,2,2001,Good,2.03,1606751.07
+P10359,8,Penthouse,31,5,7,1907,Good,7.2,437191.5
+P10360,20,Apartment,153,4,6,1877,Renovated,5.65,2646263.88
+P10361,5,Studio,19,5,7,1913,Renovated,6.65,302549.02
+P10362,6,Apartment,125,4,7,1953,New,9.56,2348351.24
+P10363,5,Apartment,192,3,3,1927,Renovated,1.5,1815674.31
+P10364,8,Penthouse,136,2,3,1989,New,7.38,1613855.7
+P10365,6,Penthouse,16,5,1,1860,New,1.13,239825.15
+P10366,5,Loft,31,2,8,1908,New,8.48,331557.01
+P10367,3,Loft,128,4,4,2021,Needs Renovation,3.36,1393704.01
+P10368,12,Apartment,188,1,2,1971,Needs Renovation,12.33,2960949.19
+P10369,17,Studio,133,1,1,1998,New,11.45,1476456.87
+P10370,17,Penthouse,163,4,5,1999,Needs Renovation,14.78,1409346.65
+P10371,1,Apartment,36,4,1,1851,Needs Renovation,2.41,306651.05
+P10372,13,Loft,194,3,2,2000,New,12.69,3798822.04
+P10373,16,Loft,36,3,0,1852,New,4.81,615535.92
+P10374,3,Penthouse,33,5,8,1977,Good,6.79,301127.74
+P10375,3,Studio,150,2,7,1978,Renovated,11.25,2204476.19
+P10376,20,Penthouse,17,1,2,1913,Needs Renovation,12.1,192692.03
+P10377,20,Penthouse,24,5,6,2004,Needs Renovation,10.47,403124.53
+P10378,17,Loft,126,5,3,1935,New,12.8,1822507.85
+P10379,4,Studio,72,4,8,2011,Needs Renovation,11.5,1220313.99
+P10380,15,Studio,34,3,6,1919,Needs Renovation,13.21,580555.98
+P10381,11,Loft,115,2,3,1869,Needs Renovation,11.82,1428267.15
+P10382,14,Apartment,168,5,5,1952,Renovated,0.55,2680692.68
+P10383,14,Penthouse,52,4,3,1866,Renovated,9.03,529143.23
+P10384,12,Studio,18,5,7,1929,Needs Renovation,3.77,282742.31
+P10385,3,Apartment,146,2,2,2008,New,0.83,2218094.43
+P10386,3,Loft,161,1,2,1999,New,10.58,2517699.94
+P10387,12,Studio,90,2,3,1868,New,6.88,1484295.41
+P10388,19,Penthouse,108,1,1,1912,New,3.7,1426489.1
+P10389,14,Penthouse,61,3,5,1894,Needs Renovation,3.02,1025006.79
+P10390,2,Penthouse,18,4,5,1896,Renovated,12.68,313700.75
+P10391,12,Apartment,89,1,4,1910,Good,14.7,1726934.02
+P10392,5,Loft,17,5,5,1930,Good,13.98,278851.4
+P10393,4,Penthouse,65,5,2,1895,Renovated,3.77,563786.16
+P10394,4,Penthouse,83,5,3,1898,Good,6.81,1123885.88
+P10395,14,Apartment,19,4,3,1975,Renovated,11.06,182433.43
+P10396,1,Studio,177,1,3,1919,Renovated,1.33,3073172.55
+P10397,10,Penthouse,188,4,8,1880,Renovated,13.88,1800324.26
+P10398,1,Studio,50,5,9,2007,Good,1.03,441374.81
+P10399,19,Loft,149,3,7,1987,New,4.44,1684794.86
+P10400,5,Apartment,196,2,5,1893,New,2.77,3554944.75
+P10401,17,Studio,198,3,9,1956,Needs Renovation,2.52,1732864.01
+P10402,14,Loft,192,1,5,1976,Renovated,3.93,3314360.2
+P10403,6,Penthouse,174,3,6,1998,Renovated,1.26,3403567.58
+P10404,11,Apartment,134,1,4,1931,New,2.6,1867125.66
+P10405,5,Studio,101,2,0,1996,New,4.98,1039723.13
+P10406,3,Penthouse,99,4,8,2010,Needs Renovation,2.69,1207213.57
+P10407,14,Loft,141,2,5,1882,Needs Renovation,8.09,1278317.69
+P10408,14,Penthouse,75,5,9,1892,Good,1.48,1374125.72
+P10409,17,Apartment,100,1,5,1947,Renovated,7.53,1452245.86
+P10410,14,Apartment,99,5,8,1915,Renovated,1.91,1915489.4
+P10411,19,Loft,158,3,5,1925,Renovated,1.4,2498245.69
+P10412,2,Studio,182,4,2,1912,Needs Renovation,7.71,2233445.85
+P10413,20,Apartment,46,5,3,1959,New,11.43,458917.91
+P10414,7,Penthouse,157,5,3,1941,Good,4.2,2498741.73
+P10415,5,Penthouse,139,1,9,1962,Renovated,0.89,2046384.01
+P10416,11,Apartment,167,3,0,1891,New,7.72,3158077.29
+P10417,16,Loft,20,4,1,2020,Good,11.75,268407.24
+P10418,5,Loft,65,3,9,1857,Good,4.66,678937.84
+P10419,17,Penthouse,55,4,7,1904,New,9.82,622451.52
+P10420,13,Apartment,157,2,3,1861,Needs Renovation,2.91,1553586.89
+P10421,1,Loft,94,3,1,1956,New,14.76,1161577.63
+P10422,11,Loft,175,4,7,1950,Needs Renovation,11.12,1824232.9
+P10423,14,Penthouse,190,3,5,1959,New,1.71,2234009.35
+P10424,13,Apartment,46,1,6,1865,Renovated,14.83,811589.15
+P10425,6,Loft,123,5,1,1853,Renovated,14.96,1969849.92
+P10426,3,Loft,73,3,2,1946,New,0.93,1185690.23
+P10427,8,Loft,162,2,4,1858,Needs Renovation,12.38,1703759.73
+P10428,17,Apartment,192,3,8,1988,Needs Renovation,13.57,3286077.87
+P10429,10,Penthouse,122,4,7,1980,Good,13.26,1435785.0
+P10430,11,Studio,44,2,7,2010,New,3.98,481011.49
+P10431,17,Apartment,194,2,1,1907,Good,9.4,2362007.61
+P10432,12,Penthouse,37,1,2,1882,Good,2.33,669602.71
+P10433,8,Apartment,30,2,7,2005,Good,10.38,357037.45
+P10434,9,Studio,162,4,6,1936,Good,1.62,3223947.65
+P10435,20,Studio,81,4,5,1992,New,3.58,1490127.69
+P10436,6,Loft,71,5,3,1991,Needs Renovation,13.6,915877.0
+P10437,19,Loft,159,1,1,1964,Renovated,13.65,2776357.53
+P10438,11,Studio,165,3,7,1895,Needs Renovation,7.18,1539759.15
+P10439,3,Loft,114,5,2,1996,Needs Renovation,14.66,1659814.77
+P10440,10,Penthouse,92,3,8,2017,New,11.23,1202493.46
+P10441,12,Apartment,168,1,2,1980,Renovated,11.43,1933111.95
+P10442,15,Loft,42,4,8,1973,New,12.53,830826.54
+P10443,2,Penthouse,33,4,5,1910,Renovated,1.49,308581.83
+P10444,3,Apartment,44,1,7,1901,Needs Renovation,4.87,358549.33
+P10445,15,Apartment,67,3,8,1917,Needs Renovation,13.22,717986.6
+P10446,19,Studio,16,1,5,2018,Renovated,14.84,191438.34
+P10447,20,Loft,197,5,2,1860,Good,14.93,3557391.76
+P10448,2,Loft,64,5,4,1897,New,12.55,912470.29
+P10449,11,Apartment,186,1,8,1986,Good,10.2,3134246.75
+P10450,2,Studio,79,5,7,1925,Needs Renovation,13.7,1290339.03
+P10451,15,Studio,188,1,3,1942,Renovated,2.97,2272880.22
+P10452,12,Penthouse,35,3,8,2006,Needs Renovation,9.77,467003.37
+P10453,14,Penthouse,69,4,5,1925,New,7.57,638298.14
+P10454,11,Apartment,100,4,1,1940,Renovated,11.28,1940637.26
+P10455,4,Loft,15,1,5,1876,Renovated,2.53,120525.79
+P10456,9,Studio,138,2,0,1948,Renovated,3.34,2712858.14
+P10457,3,Studio,49,5,0,1990,Renovated,8.29,670881.59
+P10458,10,Loft,63,1,3,1973,Good,4.63,669616.02
+P10459,20,Apartment,53,5,9,1956,Renovated,1.14,702910.48
+P10460,18,Loft,23,5,0,1937,Renovated,8.21,262539.2
+P10461,5,Apartment,73,1,2,1988,Needs Renovation,2.41,609989.36
+P10462,17,Penthouse,60,5,2,1925,New,13.29,764094.77
+P10463,12,Penthouse,123,4,0,1894,Good,10.92,1979721.19
+P10464,7,Penthouse,22,1,6,2007,Needs Renovation,4.24,344009.96
+P10465,7,Studio,191,4,1,1917,Good,6.07,3101664.08
+P10466,5,Apartment,141,4,2,2005,Renovated,8.47,1752437.71
+P10467,4,Apartment,127,1,2,1992,Renovated,11.37,1632061.35
+P10468,20,Studio,16,5,1,1900,Needs Renovation,9.11,258304.63
+P10469,5,Studio,24,2,8,1970,Good,2.74,231994.94
+P10470,20,Studio,17,4,4,1851,Needs Renovation,8.18,266126.93
+P10471,2,Loft,145,2,2,1914,Renovated,1.72,1180369.5
+P10472,8,Loft,115,5,8,1872,Renovated,12.34,2035071.23
+P10473,15,Studio,52,4,1,2013,Good,10.26,657732.97
+P10474,10,Loft,133,1,9,1879,Good,6.97,1552876.34
+P10475,12,Loft,112,3,8,1912,Needs Renovation,1.93,1500965.8
+P10476,10,Loft,89,2,5,1949,Needs Renovation,6.2,1107215.89
+P10477,6,Studio,166,2,4,1856,Good,2.57,1660385.52
+P10478,9,Apartment,70,1,3,1868,Needs Renovation,0.87,850537.07
+P10479,12,Apartment,160,4,0,1962,New,10.32,1292883.95
+P10480,10,Apartment,83,2,7,1914,Good,2.03,1502356.47
+P10481,9,Loft,127,5,7,1937,Good,7.83,2497366.49
+P10482,14,Apartment,89,5,5,1956,Good,6.13,1122332.77
+P10483,15,Penthouse,65,2,4,1879,New,2.39,764300.88
+P10484,14,Apartment,136,5,4,1884,Needs Renovation,13.38,1692487.88
+P10485,17,Penthouse,32,4,3,1994,Good,6.09,465426.35
+P10486,13,Apartment,36,4,8,1898,Renovated,8.22,711407.08
+P10487,8,Apartment,123,5,2,1980,Renovated,4.88,2214467.34
+P10488,4,Penthouse,174,5,0,1934,Good,5.47,1798374.57
+P10489,5,Apartment,35,4,3,1978,Renovated,8.92,628889.17
+P10490,16,Studio,38,5,1,1988,Needs Renovation,3.51,506483.95
+P10491,15,Apartment,31,3,7,2001,New,9.5,575477.09
+P10492,1,Penthouse,179,5,4,1994,Good,10.81,1749869.95
+P10493,5,Loft,132,3,4,1947,New,10.97,1265677.85
+P10494,10,Studio,187,4,5,1988,Renovated,8.47,1581230.63
+P10495,4,Apartment,19,1,8,1895,Good,1.0,307212.34
+P10496,14,Loft,84,1,9,1897,New,1.86,1628705.04
+P10497,4,Loft,66,2,0,2000,New,6.1,917203.2
+P10498,17,Studio,193,5,1,1941,Good,12.5,3815392.32
+P10499,10,Loft,18,5,8,1921,New,12.88,246920.41
+P10500,20,Penthouse,95,1,7,1996,Good,5.02,1725544.49
+P10501,19,Loft,81,3,6,1963,Good,7.41,677927.93
+P10502,3,Penthouse,107,3,9,1891,New,9.67,1975710.07
+P10503,17,Apartment,35,4,7,1884,Needs Renovation,3.56,617863.63
+P10504,16,Apartment,71,3,7,1875,Needs Renovation,12.51,1418143.37
+P10505,12,Penthouse,85,3,8,1886,New,11.24,1432626.91
+P10506,12,Apartment,51,5,4,1977,Renovated,12.23,869097.89
+P10507,8,Apartment,15,4,7,1872,Renovated,7.57,246006.17
+P10508,5,Apartment,188,4,5,1924,Renovated,5.56,2422432.24
+P10509,18,Penthouse,17,4,1,1894,Good,14.35,253716.3
+P10510,15,Loft,137,2,6,2011,Good,12.02,1222361.25
+P10511,5,Apartment,158,4,9,1862,Needs Renovation,10.17,1539292.59
+P10512,2,Penthouse,173,4,2,1985,Good,4.74,3176419.99
+P10513,2,Studio,134,3,6,1902,New,12.71,1107419.29
+P10514,11,Penthouse,159,1,4,1996,Needs Renovation,5.69,1690374.72
+P10515,18,Loft,71,1,0,1872,Renovated,13.07,672728.42
+P10516,2,Studio,88,2,5,1901,Renovated,9.74,1571432.18
+P10517,12,Apartment,128,2,3,1902,Renovated,12.16,2120631.24
+P10518,9,Apartment,36,4,6,1857,Renovated,4.44,349722.42
+P10519,14,Loft,133,2,1,1976,Needs Renovation,1.29,1277590.07
+P10520,13,Penthouse,63,1,9,1942,Good,1.18,504101.83
+P10521,16,Loft,110,1,1,1857,Renovated,0.56,962750.3
+P10522,17,Penthouse,83,4,8,1914,New,2.38,1401940.44
+P10523,14,Apartment,151,3,3,1949,Needs Renovation,13.65,2778184.94
+P10524,20,Studio,65,5,5,1961,Renovated,14.08,849459.93
+P10525,11,Apartment,193,5,6,2006,New,6.12,1812708.53
+P10526,11,Penthouse,134,2,4,1998,Renovated,13.19,1295698.29
+P10527,15,Loft,115,1,0,1874,Good,4.82,1304246.38
+P10528,15,Penthouse,35,4,4,1891,Needs Renovation,2.02,608366.02
+P10529,2,Penthouse,62,4,2,1896,Needs Renovation,2.11,1140170.2
+P10530,9,Apartment,119,4,1,1990,New,6.53,2178590.15
+P10531,13,Penthouse,144,1,5,1949,Good,10.33,2287906.82
+P10532,1,Studio,187,5,7,1857,Needs Renovation,9.95,2158656.52
+P10533,2,Studio,32,3,4,1877,New,10.84,377200.9
+P10534,8,Penthouse,196,1,2,1862,Renovated,1.34,3661785.69
+P10535,13,Apartment,132,2,4,1923,Good,0.71,1917388.27
+P10536,15,Penthouse,179,2,3,1991,Renovated,6.5,1473515.75
+P10537,15,Apartment,167,3,0,1861,Good,9.13,2146196.65
+P10538,17,Penthouse,38,5,3,1971,Needs Renovation,8.03,515627.39
+P10539,11,Penthouse,79,4,0,1953,Good,2.41,1063263.11
+P10540,4,Apartment,41,5,8,2011,Good,3.14,365581.39
+P10541,16,Loft,149,5,6,1856,New,5.55,1803145.03
+P10542,9,Penthouse,140,4,4,1984,Needs Renovation,13.25,1122274.09
+P10543,7,Penthouse,65,1,7,1894,Needs Renovation,6.27,946631.34
+P10544,7,Apartment,146,3,1,2005,Good,7.36,2412157.28
+P10545,3,Loft,138,4,9,1953,Good,14.17,1199790.41
+P10546,15,Apartment,147,4,5,1866,Renovated,3.77,2136466.84
+P10547,12,Apartment,120,1,9,1894,Renovated,4.51,1856275.64
+P10548,10,Studio,195,4,0,1898,Good,14.24,2468307.75
+P10549,12,Studio,116,4,8,2023,New,1.4,1678027.71
+P10550,7,Studio,128,5,8,1903,Good,6.53,1787871.92
+P10551,16,Apartment,180,3,9,1870,Renovated,14.45,3083950.74
+P10552,18,Penthouse,148,2,2,1855,Needs Renovation,6.96,2155222.72
+P10553,18,Studio,186,5,0,1924,New,12.0,1599553.19
+P10554,3,Penthouse,25,4,8,1865,Needs Renovation,9.73,397734.13
+P10555,16,Loft,62,3,8,1925,Needs Renovation,4.26,1225970.94
+P10556,19,Apartment,103,2,6,1951,Good,9.52,1557641.32
+P10557,11,Apartment,168,4,1,1866,Needs Renovation,14.42,3016053.52
+P10558,15,Penthouse,94,2,7,1990,Good,12.89,1842835.42
+P10559,18,Studio,110,4,0,2020,Good,10.17,1206489.22
+P10560,14,Apartment,98,2,5,1893,New,0.68,1691433.25
+P10561,17,Studio,88,4,9,2020,Renovated,1.17,1081022.99
+P10562,6,Studio,184,4,6,1940,Renovated,4.18,1864776.98
+P10563,8,Penthouse,169,1,9,1858,Renovated,2.73,2168806.2
+P10564,3,Penthouse,169,2,8,1942,Good,7.48,3366321.17
+P10565,18,Penthouse,81,4,2,1948,Good,14.29,736181.49
+P10566,10,Apartment,105,2,1,2022,Good,4.14,1289972.66
+P10567,19,Studio,195,3,0,1963,Good,13.58,2532513.12
+P10568,20,Penthouse,168,5,6,1859,New,12.68,3308334.43
+P10569,1,Apartment,55,1,0,1994,New,2.65,590938.31
+P10570,19,Penthouse,183,5,7,1998,Good,7.99,2411311.9
+P10571,19,Loft,40,3,6,1896,New,13.6,455598.11
+P10572,16,Penthouse,168,5,3,1872,Renovated,7.41,2189607.16
+P10573,16,Studio,157,2,7,1890,Needs Renovation,4.79,1641617.33
+P10574,10,Loft,126,4,3,1971,New,14.14,1969696.21
+P10575,2,Studio,179,1,7,1876,Needs Renovation,12.62,2311417.13
+P10576,14,Loft,178,2,7,1853,Needs Renovation,2.7,3077063.69
+P10577,7,Penthouse,199,1,7,1965,Good,6.67,2879357.79
+P10578,11,Penthouse,83,5,8,1903,Renovated,5.75,1426484.56
+P10579,13,Studio,71,2,6,2015,Renovated,0.65,738877.33
+P10580,17,Apartment,17,3,3,1925,Renovated,3.75,146587.79
+P10581,8,Loft,178,1,6,1907,New,4.89,3236236.61
+P10582,9,Loft,115,1,2,1975,Good,5.39,1268882.78
+P10583,5,Apartment,61,4,7,1871,New,6.2,1208916.35
+P10584,10,Loft,163,1,6,1880,Needs Renovation,11.43,2048629.02
+P10585,8,Studio,46,3,8,1988,Renovated,9.61,516498.85
+P10586,19,Penthouse,31,4,8,1972,Good,11.51,601105.61
+P10587,6,Loft,116,1,8,1900,Needs Renovation,5.85,1643285.41
+P10588,16,Penthouse,141,2,6,1972,Needs Renovation,12.15,2307678.27
+P10589,1,Apartment,165,2,8,1930,Needs Renovation,0.95,2763382.5
+P10590,17,Loft,183,5,5,1855,Good,10.14,1776206.3
+P10591,7,Penthouse,17,1,6,1914,New,5.02,279038.65
+P10592,2,Penthouse,29,4,3,1995,Needs Renovation,0.73,505599.57
+P10593,20,Loft,57,4,9,1882,Renovated,14.57,541077.86
+P10594,18,Apartment,146,3,5,1970,New,8.25,2045905.97
+P10595,14,Studio,182,3,4,1876,Renovated,7.49,2394237.54
+P10596,12,Loft,27,3,9,1938,Renovated,2.78,524599.35
+P10597,2,Loft,186,2,2,1906,New,12.05,3432996.12
+P10598,19,Studio,21,3,6,1932,Renovated,9.61,382371.43
+P10599,18,Penthouse,86,4,4,1924,New,3.28,880895.7
+P10600,13,Loft,154,1,4,1906,Renovated,13.23,2959869.71
+P10601,20,Apartment,83,3,1,1961,Good,5.34,1018431.34
+P10602,4,Loft,137,2,6,1882,Renovated,9.81,1433679.92
+P10603,11,Penthouse,196,3,7,1997,Good,4.53,3414952.24
+P10604,7,Loft,96,2,7,1911,New,8.02,1821770.24
+P10605,2,Apartment,31,2,4,2005,Good,6.35,609091.67
+P10606,11,Loft,96,2,0,1920,Needs Renovation,4.33,1438675.08
+P10607,5,Studio,24,2,1,1973,Renovated,8.47,331115.43
+P10608,20,Penthouse,180,2,6,2006,Good,13.92,2743856.35
+P10609,13,Penthouse,34,3,3,1957,Renovated,7.14,447592.9
+P10610,17,Loft,125,2,1,1999,Renovated,14.49,1401103.04
+P10611,16,Apartment,41,2,5,1949,Renovated,4.12,549737.75
+P10612,11,Apartment,16,5,2,2003,Needs Renovation,7.01,161423.68
+P10613,19,Penthouse,67,3,4,1972,New,11.7,1128174.32
+P10614,20,Loft,114,2,0,1962,Renovated,6.09,1423022.97
+P10615,19,Studio,21,1,2,1978,New,3.7,304581.5
+P10616,19,Loft,87,5,5,2015,Good,1.98,1340407.98
+P10617,17,Loft,128,3,2,1934,Good,13.76,1689983.17
+P10618,8,Apartment,170,4,8,2004,New,0.63,2246182.77
+P10619,7,Apartment,106,1,8,2019,Needs Renovation,10.66,1543626.23
+P10620,11,Loft,182,1,3,1896,Good,0.93,3243319.13
+P10621,14,Studio,124,5,1,1889,Needs Renovation,5.65,1106792.01
+P10622,17,Loft,192,3,0,1924,New,9.12,2032153.45
+P10623,5,Studio,108,2,2,2013,Renovated,14.02,2010913.74
+P10624,16,Loft,91,3,0,1969,Renovated,14.82,1401527.7
+P10625,6,Loft,22,3,0,1922,Renovated,3.49,379476.03
+P10626,18,Penthouse,121,1,0,1886,Renovated,10.16,1452397.06
+P10627,20,Loft,70,3,9,1956,Good,9.75,941650.16
+P10628,8,Penthouse,182,4,4,1928,Renovated,1.43,2624495.7
+P10629,8,Penthouse,112,3,3,1984,Renovated,1.31,1700848.22
+P10630,7,Loft,68,4,0,1904,Renovated,10.84,715383.95
+P10631,16,Penthouse,180,2,5,1887,Renovated,2.12,2322958.88
+P10632,10,Apartment,171,5,4,1958,Needs Renovation,12.48,2981943.93
+P10633,13,Penthouse,97,3,0,1989,Good,4.12,1714003.04
+P10634,10,Apartment,70,2,4,1910,Renovated,5.63,1009865.2
+P10635,3,Penthouse,66,1,6,1945,Needs Renovation,11.9,1183868.53
+P10636,9,Loft,124,2,9,1888,Good,3.86,1547798.02
+P10637,7,Penthouse,127,5,5,1958,Renovated,7.8,2393023.07
+P10638,5,Apartment,164,1,9,1936,Good,12.65,3002151.41
+P10639,8,Apartment,172,1,8,1878,Good,7.16,1403350.13
+P10640,8,Apartment,101,5,3,1961,New,2.2,1682978.22
+P10641,14,Penthouse,159,5,5,1957,Needs Renovation,7.97,2643355.19
+P10642,4,Studio,164,1,9,1971,New,5.64,1991412.55
+P10643,18,Studio,129,4,9,1877,Needs Renovation,5.01,1215306.48
+P10644,16,Loft,181,3,7,1921,Good,14.8,2177083.57
+P10645,10,Penthouse,151,1,2,1923,Renovated,6.47,1985247.13
+P10646,2,Apartment,171,2,5,1978,Good,9.66,2040137.04
+P10647,18,Apartment,190,5,4,1913,Good,14.03,3108310.18
+P10648,14,Studio,53,2,4,1875,New,13.49,749813.11
+P10649,13,Loft,21,2,4,1911,Good,11.99,295966.88
+P10650,10,Apartment,39,3,4,2009,New,10.86,533951.35
+P10651,10,Apartment,158,1,8,1969,Renovated,11.41,2650576.12
+P10652,10,Loft,107,1,8,1957,Needs Renovation,5.34,1978435.16
+P10653,5,Loft,171,3,8,2022,Renovated,7.52,3051868.65
+P10654,7,Apartment,153,5,8,1995,Renovated,13.58,1976281.24
+P10655,6,Loft,62,2,5,1855,Renovated,6.15,545828.37
+P10656,6,Apartment,199,4,3,1906,Renovated,14.73,3616851.79
+P10657,10,Studio,96,2,5,1928,Good,3.86,1359400.18
+P10658,20,Loft,137,2,2,1852,Needs Renovation,5.58,1623990.58
+P10659,17,Penthouse,78,3,3,1909,New,10.98,1285409.67
+P10660,13,Apartment,136,3,1,1911,Good,12.71,2604598.67
+P10661,5,Loft,151,4,1,1910,Renovated,2.0,2353163.49
+P10662,8,Apartment,62,1,8,1907,Renovated,11.84,928275.23
+P10663,13,Studio,187,2,2,1893,Needs Renovation,11.26,3198078.22
+P10664,9,Penthouse,85,4,5,2006,Renovated,2.8,878874.7
+P10665,19,Apartment,158,3,9,1885,Renovated,12.86,2085277.26
+P10666,12,Studio,76,2,5,1865,New,3.43,887896.92
+P10667,4,Loft,73,1,1,1943,Renovated,13.1,795554.55
+P10668,6,Loft,152,4,0,1851,Renovated,2.44,2576254.16
+P10669,4,Penthouse,129,2,0,1977,Renovated,8.47,1729801.69
+P10670,20,Studio,180,3,0,2022,Good,12.48,2814568.45
+P10671,5,Loft,163,2,3,1984,Good,4.34,1848662.96
+P10672,15,Penthouse,195,4,6,1919,Needs Renovation,11.91,2639963.65
+P10673,18,Loft,115,4,7,1850,Good,7.23,1428319.16
+P10674,8,Apartment,36,5,2,1928,Needs Renovation,8.58,667808.25
+P10675,17,Penthouse,134,2,8,1905,New,3.42,2332306.0
+P10676,19,Apartment,171,5,1,1857,New,4.11,3061752.94
+P10677,18,Studio,196,5,3,1989,Good,5.24,1726185.91
+P10678,6,Penthouse,45,3,9,1958,Needs Renovation,7.25,795599.13
+P10679,4,Studio,109,5,2,1998,Needs Renovation,11.86,1288080.62
+P10680,3,Loft,172,4,2,1935,New,0.71,2726561.9
+P10681,15,Studio,166,2,3,2009,Needs Renovation,2.42,2734667.74
+P10682,15,Apartment,113,3,4,1974,Needs Renovation,9.01,1750976.65
+P10683,10,Apartment,39,4,2,2020,Needs Renovation,10.3,775637.85
+P10684,9,Apartment,75,3,2,1936,Good,13.96,1120956.15
+P10685,19,Apartment,124,2,4,1908,New,7.3,1500755.05
+P10686,14,Penthouse,163,4,5,1962,New,7.19,2270552.84
+P10687,18,Apartment,180,1,1,2004,New,10.32,2528648.13
+P10688,16,Apartment,134,3,4,1936,Renovated,10.52,1341110.11
+P10689,14,Studio,103,1,5,1932,Good,11.34,910273.61
+P10690,14,Penthouse,85,4,7,1999,Needs Renovation,7.1,1102104.01
+P10691,15,Loft,189,1,1,1997,Needs Renovation,10.44,3411148.54
+P10692,3,Studio,175,3,7,1967,Renovated,10.44,2869243.1
+P10693,4,Studio,180,3,9,1943,Needs Renovation,13.28,2820309.46
+P10694,17,Studio,80,5,1,1885,Good,1.64,1440440.27
+P10695,1,Apartment,89,4,5,1997,Renovated,0.96,1091059.54
+P10696,15,Loft,54,2,3,1965,Needs Renovation,4.07,486798.37
+P10697,8,Studio,188,3,7,2004,Needs Renovation,11.19,1980539.01
+P10698,12,Studio,102,1,3,1886,Renovated,13.51,2036619.19
+P10699,7,Apartment,133,1,4,1959,New,5.36,1806155.19
+P10700,14,Apartment,67,4,9,1943,Good,4.94,1192847.02
+P10701,7,Apartment,25,2,9,1883,New,7.39,221310.47
+P10702,20,Apartment,64,2,4,1933,Needs Renovation,14.61,569462.69
+P10703,20,Apartment,140,1,7,1905,Good,2.76,2745839.26
+P10704,2,Loft,153,5,9,1888,Needs Renovation,5.8,1650881.0
+P10705,8,Studio,178,5,3,1950,New,2.97,2070095.21
+P10706,5,Penthouse,18,2,7,1976,Good,4.43,218011.35
+P10707,19,Penthouse,36,2,4,1859,Renovated,7.83,646263.75
+P10708,8,Penthouse,166,3,6,1994,Good,6.91,1334256.68
+P10709,17,Studio,71,2,1,1858,Needs Renovation,3.27,808195.02
+P10710,10,Penthouse,103,2,7,1994,New,13.0,1648674.45
+P10711,18,Studio,29,5,8,1889,Needs Renovation,5.89,576328.99
+P10712,18,Loft,96,5,5,1920,New,2.2,1622370.95
+P10713,12,Loft,62,2,6,1938,Renovated,7.95,587685.04
+P10714,14,Loft,155,5,4,1983,Good,8.73,3009687.38
+P10715,10,Loft,104,4,7,1874,Good,11.25,2042853.71
+P10716,18,Loft,180,4,2,2005,Good,7.62,1797052.94
+P10717,8,Penthouse,164,5,6,1921,Good,5.88,2446776.37
+P10718,15,Apartment,20,3,0,1908,Needs Renovation,12.75,385334.79
+P10719,14,Studio,83,4,8,1880,Needs Renovation,3.66,1334073.56
+P10720,8,Penthouse,98,4,9,1963,Good,1.28,784768.39
+P10721,11,Apartment,95,4,0,2001,Needs Renovation,7.55,1282488.9
+P10722,12,Apartment,123,3,6,2005,Good,11.53,1335504.46
+P10723,2,Penthouse,30,2,0,1879,Needs Renovation,14.99,513752.75
+P10724,20,Apartment,110,2,1,1862,New,10.28,1405182.73
+P10725,7,Studio,108,5,0,2017,Needs Renovation,3.79,922906.44
+P10726,7,Penthouse,157,1,4,1977,Renovated,1.01,2138334.07
+P10727,1,Studio,175,1,5,1960,Good,2.83,2320175.09
+P10728,4,Loft,89,2,0,1985,Good,4.58,942154.81
+P10729,20,Studio,26,1,9,1964,Needs Renovation,11.39,398560.47
+P10730,8,Penthouse,185,1,9,1934,Renovated,12.61,1947934.82
+P10731,13,Loft,70,2,2,1903,Renovated,1.77,827161.64
+P10732,10,Penthouse,191,3,7,1898,Renovated,5.32,2487390.6
+P10733,17,Loft,77,3,0,1855,Needs Renovation,10.34,1204675.5
+P10734,4,Loft,42,2,4,1964,Renovated,7.84,648286.43
+P10735,7,Penthouse,191,3,3,1907,Renovated,10.88,2306753.4
+P10736,14,Apartment,119,4,2,1948,Good,2.56,1841200.66
+P10737,5,Apartment,198,3,9,1897,Renovated,12.6,3602493.3
+P10738,18,Loft,128,4,8,1960,Renovated,2.86,1328882.29
+P10739,5,Studio,90,5,1,1916,Renovated,4.08,1202451.69
+P10740,8,Loft,132,2,3,1953,Good,8.88,2489149.89
+P10741,16,Penthouse,81,5,0,1864,Renovated,7.2,759582.61
+P10742,16,Loft,119,5,1,1944,Needs Renovation,5.67,1308226.32
+P10743,6,Penthouse,154,4,6,1961,Good,4.44,1812046.69
+P10744,5,Loft,103,2,9,1998,Good,6.73,1052205.72
+P10745,18,Apartment,191,4,0,1965,New,4.68,1802790.39
+P10746,3,Apartment,157,2,3,1895,New,9.67,1821090.86
+P10747,14,Studio,135,2,0,1956,Good,5.49,1965647.0
+P10748,3,Studio,61,4,4,1953,New,10.03,913597.32
+P10749,7,Loft,54,2,3,1910,Renovated,11.81,795255.72
+P10750,2,Loft,136,5,4,1905,Needs Renovation,1.84,1211478.92
+P10751,1,Apartment,116,5,1,1953,Needs Renovation,0.97,1242975.15
+P10752,1,Apartment,44,3,6,1939,Renovated,11.95,633050.11
+P10753,18,Penthouse,139,4,8,1952,New,14.56,2752590.1
+P10754,17,Loft,198,2,3,1938,Good,10.53,1703630.48
+P10755,4,Apartment,197,5,0,2019,Good,12.44,3027425.8
+P10756,8,Studio,36,3,7,1866,Renovated,5.26,439553.86
+P10757,12,Penthouse,104,5,0,1927,Needs Renovation,13.74,937691.05
+P10758,3,Penthouse,177,5,0,2008,Needs Renovation,4.9,2640427.46
+P10759,15,Studio,177,4,5,1907,Good,10.42,1667999.36
+P10760,10,Apartment,176,2,9,1869,New,4.12,3387174.09
+P10761,3,Loft,73,2,0,1863,Needs Renovation,12.75,1434728.19
+P10762,13,Loft,149,4,2,1912,New,14.11,1400048.97
+P10763,1,Studio,177,1,3,1949,New,10.38,2792853.05
+P10764,16,Loft,136,4,0,1920,Renovated,4.2,2417543.08
+P10765,19,Apartment,79,3,5,1907,New,8.3,968443.0
+P10766,8,Studio,179,4,3,2022,Needs Renovation,3.69,2626992.56
+P10767,9,Apartment,110,5,2,1985,New,7.79,1817351.49
+P10768,9,Apartment,185,1,1,1857,Good,1.23,2174971.32
+P10769,11,Apartment,122,3,8,1879,Good,11.41,1531758.94
+P10770,19,Studio,160,2,6,1909,Needs Renovation,6.94,2580681.1
+P10771,3,Penthouse,140,5,5,1971,Good,3.94,2225532.37
+P10772,19,Studio,122,4,5,1881,Needs Renovation,6.79,2100539.65
+P10773,18,Penthouse,29,2,4,1855,Needs Renovation,5.22,410905.21
+P10774,5,Apartment,137,3,0,1945,Renovated,14.5,2458034.49
+P10775,2,Apartment,95,1,5,1884,Needs Renovation,14.23,1000410.3
+P10776,8,Apartment,164,3,9,1852,Renovated,14.97,2206265.41
+P10777,20,Loft,90,1,8,1922,Renovated,3.13,1185462.61
+P10778,1,Penthouse,97,5,3,1879,Needs Renovation,11.76,1035194.96
+P10779,16,Studio,126,1,9,1907,Renovated,5.44,2213383.14
+P10780,18,Loft,141,1,2,1965,Needs Renovation,5.37,1216646.07
+P10781,6,Loft,24,3,4,1998,New,14.25,259678.35
+P10782,20,Penthouse,149,1,1,1925,Good,1.02,1605877.68
+P10783,3,Apartment,68,3,0,1867,Renovated,12.94,576143.74
+P10784,5,Loft,104,1,9,1925,Good,5.78,1814640.2
+P10785,13,Penthouse,146,2,7,1856,Renovated,2.41,1276423.75
+P10786,4,Apartment,133,4,0,1912,New,3.75,1744089.5
+P10787,10,Loft,134,4,4,1939,Renovated,1.88,2386226.94
+P10788,9,Apartment,42,5,4,2007,Good,4.56,651734.34
+P10789,3,Studio,28,2,3,1973,Needs Renovation,11.51,446699.55
+P10790,15,Loft,43,3,3,1868,New,3.64,593945.85
+P10791,1,Apartment,35,5,3,1878,Renovated,2.66,599267.59
+P10792,18,Apartment,84,4,1,1949,Renovated,8.98,1082977.5
+P10793,13,Apartment,33,2,5,1949,Renovated,13.35,340600.4
+P10794,14,Loft,194,4,2,1996,New,9.9,1836275.61
+P10795,18,Studio,130,1,3,1899,Good,6.26,1260127.85
+P10796,13,Studio,162,3,9,1917,Good,4.42,1996762.44
+P10797,9,Penthouse,48,5,9,1944,Renovated,14.83,955727.11
+P10798,16,Studio,161,2,2,1934,New,13.06,2821656.58
+P10799,6,Loft,97,5,3,1987,Renovated,6.7,1669958.33
+P10800,14,Penthouse,74,1,6,2008,Needs Renovation,10.49,1036631.3
+P10801,3,Penthouse,143,3,3,1920,Renovated,0.73,2098423.23
+P10802,8,Loft,64,4,0,1941,Good,3.33,542826.64
+P10803,15,Apartment,61,4,6,1979,Good,9.24,1059632.97
+P10804,10,Apartment,18,4,7,1899,Needs Renovation,10.27,157177.54
+P10805,11,Loft,26,3,0,1898,Renovated,10.4,419062.93
+P10806,15,Penthouse,74,4,8,1945,Needs Renovation,3.78,837019.35
+P10807,20,Studio,56,1,8,1967,Renovated,3.67,868221.87
+P10808,11,Studio,179,5,3,1956,Needs Renovation,2.14,2733681.49
+P10809,11,Studio,94,2,8,1915,Needs Renovation,6.46,958934.31
+P10810,11,Penthouse,87,4,9,1945,Needs Renovation,12.2,725069.04
+P10811,19,Studio,190,4,1,1914,Renovated,10.26,2620586.72
+P10812,13,Penthouse,178,3,8,1927,Needs Renovation,6.27,2776967.48
+P10813,12,Apartment,29,4,3,1974,Good,0.86,438021.86
+P10814,19,Studio,163,2,4,1995,New,2.35,2373338.02
+P10815,15,Studio,176,2,7,1885,Needs Renovation,14.88,2266719.21
+P10816,10,Apartment,36,5,8,1945,Needs Renovation,10.31,676914.1
+P10817,16,Studio,178,4,2,2000,Renovated,0.52,3444495.04
+P10818,8,Penthouse,137,3,4,1953,Good,2.35,2615527.94
+P10819,14,Loft,154,1,6,1895,New,2.45,2461023.47
+P10820,15,Loft,58,1,1,1854,Needs Renovation,2.0,1042736.76
+P10821,18,Loft,130,3,0,1880,New,5.18,1506101.28
+P10822,12,Apartment,97,5,2,1982,New,7.96,1890683.24
+P10823,8,Penthouse,84,1,1,2022,Good,14.84,1059114.98
+P10824,20,Apartment,103,1,6,1945,Needs Renovation,3.07,1213239.2
+P10825,11,Loft,68,3,9,1865,New,14.94,978007.36
+P10826,1,Apartment,60,3,9,1960,Renovated,5.12,1064981.15
+P10827,8,Studio,171,4,2,2010,Needs Renovation,9.67,2767857.35
+P10828,12,Loft,177,5,3,1958,Needs Renovation,4.22,2644718.09
+P10829,19,Studio,181,4,2,1951,Renovated,1.84,2373136.7
+P10830,1,Loft,185,5,8,1935,New,4.96,2975617.85
+P10831,10,Loft,125,5,2,1891,New,8.09,2194762.78
+P10832,4,Studio,129,2,8,1869,Renovated,9.95,1493421.11
+P10833,10,Penthouse,53,3,6,1860,Needs Renovation,9.75,796433.77
+P10834,7,Loft,169,3,2,1983,Renovated,4.16,1436322.13
+P10835,16,Apartment,127,2,2,1921,Needs Renovation,8.96,1250573.33
+P10836,15,Penthouse,132,3,3,2002,New,10.66,2493852.93
+P10837,10,Apartment,116,4,4,2014,New,0.8,1427201.24
+P10838,1,Penthouse,102,1,5,1903,New,5.3,2009620.29
+P10839,6,Studio,132,4,0,1856,Good,7.09,1683164.57
+P10840,18,Studio,25,4,6,2022,Renovated,2.25,480418.97
+P10841,18,Loft,42,3,9,2002,Needs Renovation,1.4,824538.19
+P10842,8,Loft,111,4,2,1879,Good,7.74,1109181.96
+P10843,6,Loft,172,4,7,1951,Needs Renovation,6.12,2203053.4
+P10844,1,Studio,61,5,3,2015,Needs Renovation,7.1,811568.46
+P10845,19,Loft,21,1,8,1923,Needs Renovation,7.42,408550.61
+P10846,1,Studio,149,5,3,2010,Good,2.34,1390841.24
+P10847,9,Apartment,195,4,0,1981,New,3.53,1940626.31
+P10848,18,Studio,18,1,1,1884,Renovated,2.19,153064.24
+P10849,11,Studio,166,3,3,1972,Needs Renovation,10.34,1916572.11
+P10850,4,Penthouse,46,1,2,1896,Needs Renovation,13.11,586764.57
+P10851,17,Penthouse,45,4,6,1897,Needs Renovation,5.13,691776.0
+P10852,20,Loft,190,1,5,1915,New,9.64,3408840.17
+P10853,12,Penthouse,50,2,6,1850,Needs Renovation,5.18,584183.37
+P10854,20,Studio,104,2,5,1893,Renovated,1.08,1053087.6
+P10855,20,Apartment,100,3,4,1879,Good,10.25,1419539.96
+P10856,11,Apartment,47,2,5,1943,Good,0.82,832656.72
+P10857,10,Apartment,151,5,0,1966,Good,6.88,1231387.9
+P10858,12,Studio,194,5,1,1852,Needs Renovation,3.24,1823116.39
+P10859,14,Studio,180,5,9,1860,Needs Renovation,12.48,3395963.89
+P10860,14,Studio,127,2,5,2021,Needs Renovation,14.06,2234869.85
+P10861,18,Studio,184,1,4,1904,Good,4.09,2455413.45
+P10862,16,Penthouse,109,4,2,1968,Good,7.44,1414983.42
+P10863,6,Penthouse,187,5,9,1902,Needs Renovation,8.09,2852182.31
+P10864,20,Apartment,88,3,6,2006,Renovated,0.68,1407847.21
+P10865,1,Loft,145,3,2,1855,Good,6.08,2451590.76
+P10866,7,Loft,52,5,2,1985,Needs Renovation,4.42,1010307.15
+P10867,14,Loft,136,4,2,1934,Needs Renovation,0.87,1862277.75
+P10868,15,Loft,150,5,8,1909,Good,4.24,2990247.58
+P10869,3,Apartment,85,2,7,1962,Good,9.86,868982.39
+P10870,10,Apartment,15,2,7,1962,Renovated,1.62,290274.76
+P10871,8,Penthouse,26,1,9,1961,Good,10.37,247606.66
+P10872,15,Loft,178,1,5,2020,New,1.18,1550250.03
+P10873,19,Apartment,155,3,1,1908,Renovated,0.56,2271801.15
+P10874,18,Penthouse,199,4,8,1917,New,3.07,3124665.01
+P10875,15,Studio,81,2,7,1943,Needs Renovation,7.61,1230577.65
+P10876,4,Studio,39,4,1,1915,Renovated,9.02,395786.81
+P10877,2,Loft,59,2,1,1960,Renovated,5.57,707046.42
+P10878,12,Apartment,161,3,9,1863,Needs Renovation,12.54,1915750.84
+P10879,4,Studio,186,1,6,2000,Good,0.74,2895761.34
+P10880,19,Penthouse,33,2,0,1996,Needs Renovation,8.07,584945.41
+P10881,6,Studio,194,5,4,2003,Good,13.41,1973893.11
+P10882,7,Apartment,141,3,5,1926,Renovated,9.47,1905718.66
+P10883,18,Penthouse,68,4,7,1934,Good,6.79,1095172.13
+P10884,11,Penthouse,99,1,5,2000,Renovated,4.89,1277993.16
+P10885,19,Penthouse,101,3,1,1936,New,4.04,1657279.33
+P10886,5,Loft,163,1,1,1937,New,11.26,1692880.3
+P10887,9,Studio,182,3,1,1933,Good,10.64,2230952.77
+P10888,8,Studio,105,1,8,1880,Renovated,3.34,1778368.28
+P10889,8,Loft,54,5,6,1997,Needs Renovation,4.29,748339.13
+P10890,5,Penthouse,131,4,8,1874,Needs Renovation,5.13,1990098.48
+P10891,13,Loft,55,3,5,1983,New,0.85,628513.15
+P10892,3,Loft,156,2,6,1966,Renovated,7.34,3010439.77
+P10893,12,Loft,166,3,0,1965,Needs Renovation,6.41,2574358.37
+P10894,11,Apartment,49,1,0,1975,New,8.87,507421.05
+P10895,15,Penthouse,103,2,6,1874,New,11.37,1598932.99
+P10896,18,Loft,87,1,0,2011,Good,3.13,1037827.48
+P10897,14,Studio,118,2,5,1870,Needs Renovation,6.68,1377884.28
+P10898,9,Penthouse,110,1,6,1880,Renovated,2.99,987678.9
+P10899,11,Studio,44,1,7,1974,Needs Renovation,12.27,464989.19
+P10900,11,Apartment,29,4,8,1958,New,12.08,457983.83
+P10901,4,Loft,146,1,2,1970,New,13.35,1203281.51
+P10902,4,Studio,19,4,1,1942,Needs Renovation,14.01,336159.66
+P10903,15,Apartment,184,5,8,1857,Needs Renovation,9.76,3062107.67
+P10904,7,Studio,124,1,2,1891,Renovated,12.96,1196793.04
+P10905,6,Penthouse,134,5,9,1922,New,11.52,2157228.27
+P10906,12,Penthouse,144,4,7,1913,New,9.86,1514344.8
+P10907,12,Studio,165,5,2,1938,New,2.7,1920703.38
+P10908,13,Penthouse,34,4,1,2002,Good,11.07,294222.15
+P10909,14,Apartment,117,4,5,1948,New,6.7,1226372.32
+P10910,1,Studio,132,4,2,1908,Needs Renovation,0.6,2236420.15
+P10911,3,Studio,140,1,8,1884,Good,12.77,1741990.07
+P10912,17,Loft,191,3,6,1879,New,5.42,3719820.99
+P10913,1,Penthouse,158,3,3,1932,New,13.19,1735231.5
+P10914,14,Studio,187,5,9,1883,Needs Renovation,4.47,3451231.41
+P10915,3,Studio,20,2,8,1930,Needs Renovation,10.21,386805.78
+P10916,3,Apartment,89,2,1,1877,New,12.13,972133.96
+P10917,11,Penthouse,180,5,9,1870,Renovated,10.4,1736568.07
+P10918,5,Loft,117,3,3,1961,Good,5.04,2075972.51
+P10919,5,Apartment,73,1,7,1905,New,9.88,1448229.29
+P10920,20,Studio,49,3,7,1856,Needs Renovation,10.9,767350.14
+P10921,12,Studio,186,1,9,1966,Good,9.72,3319472.37
+P10922,14,Loft,77,4,0,1982,Good,14.73,1149913.05
+P10923,3,Apartment,17,4,2,1965,Good,7.3,326508.65
+P10924,4,Loft,126,5,0,1973,Renovated,11.02,2402354.2
+P10925,14,Penthouse,165,2,1,1928,Good,1.53,2127400.51
+P10926,8,Penthouse,41,2,7,1928,New,4.11,638636.98
+P10927,8,Penthouse,61,5,7,1945,New,8.95,706335.44
+P10928,10,Studio,130,1,1,1928,Good,5.68,1385566.94
+P10929,13,Penthouse,135,5,5,2008,New,2.27,1923281.02
+P10930,8,Loft,167,3,0,1950,Needs Renovation,10.12,1836945.67
+P10931,4,Studio,70,5,4,1871,Needs Renovation,3.34,953103.59
+P10932,20,Apartment,30,2,0,2020,New,7.14,473548.96
+P10933,12,Penthouse,144,4,1,1943,Good,9.14,2038247.55
+P10934,13,Loft,83,5,2,1954,Renovated,8.78,1581008.64
+P10935,18,Studio,184,1,3,1935,Needs Renovation,12.74,1704734.87
+P10936,3,Apartment,36,2,5,1959,New,13.2,360495.91
+P10937,1,Penthouse,85,1,0,1981,Good,7.93,916478.12
+P10938,2,Apartment,96,3,0,1877,Needs Renovation,3.9,1199798.31
+P10939,17,Penthouse,197,4,1,1936,Needs Renovation,11.38,3745775.85
+P10940,14,Loft,70,1,1,1962,New,6.94,889121.15
+P10941,18,Studio,53,5,1,2000,Renovated,10.24,747656.63
+P10942,3,Penthouse,44,2,3,1916,New,12.22,634462.4
+P10943,17,Studio,160,2,5,1917,Good,14.89,2359864.4
+P10944,18,Penthouse,66,2,4,1927,Needs Renovation,12.95,605114.58
+P10945,19,Apartment,189,4,7,1977,Renovated,13.61,3675767.86
+P10946,14,Studio,169,1,0,1873,New,8.29,3281432.84
+P10947,8,Apartment,97,1,2,1911,Needs Renovation,5.96,1115144.29
+P10948,4,Loft,36,3,2,2018,New,8.29,679089.17
+P10949,10,Studio,45,2,0,1887,New,5.15,520731.15
+P10950,1,Studio,124,3,2,1906,New,1.52,1936741.11
+P10951,6,Loft,49,2,3,1934,Renovated,8.4,503795.71
+P10952,17,Penthouse,179,1,4,1865,Good,2.95,3484302.72
+P10953,12,Studio,75,2,0,1949,Renovated,14.05,1060602.41
+P10954,4,Apartment,185,1,6,1984,Renovated,3.39,3299567.21
+P10955,14,Penthouse,85,4,3,1927,New,6.96,974747.9
+P10956,9,Apartment,110,3,1,1974,Needs Renovation,6.98,1805234.68
+P10957,15,Penthouse,154,1,5,1907,New,1.77,2424947.49
+P10958,16,Studio,160,5,6,2003,Renovated,3.54,1637046.09
+P10959,6,Penthouse,93,4,0,1885,New,3.1,1826091.39
+P10960,19,Apartment,199,5,6,1971,Good,2.08,1929183.36
+P10961,17,Apartment,101,5,2,1936,New,9.68,1223220.39
+P10962,1,Studio,111,1,6,1852,New,12.48,1595437.85
+P10963,16,Penthouse,45,2,8,1850,Needs Renovation,8.65,858999.41
+P10964,5,Studio,194,2,1,2007,New,12.31,1897723.79
+P10965,18,Loft,140,4,9,1964,Good,3.94,1342211.44
+P10966,11,Studio,184,3,7,1890,Needs Renovation,8.13,2891291.52
+P10967,11,Penthouse,76,3,1,1979,New,5.98,1257951.04
+P10968,19,Penthouse,128,5,6,1871,New,1.55,1550739.96
+P10969,17,Apartment,88,1,4,2015,Good,3.43,1347962.28
+P10970,8,Apartment,102,1,4,1906,Needs Renovation,0.59,925865.63
+P10971,3,Loft,135,4,8,1917,Renovated,13.93,1279660.88
+P10972,10,Penthouse,131,2,7,1934,New,8.43,2566288.41
+P10973,18,Loft,197,5,0,1867,New,11.07,2885640.06
+P10974,12,Studio,115,5,8,1863,Renovated,11.52,1372416.71
+P10975,19,Penthouse,146,2,7,1969,Good,8.89,2047518.36
+P10976,15,Penthouse,122,1,4,1868,Needs Renovation,1.76,1435760.13
+P10977,7,Studio,40,1,0,1931,Good,12.53,651879.71
+P10978,1,Loft,145,2,2,1866,New,4.84,2755963.83
+P10979,8,Penthouse,90,1,2,1956,New,12.05,1057167.23
+P10980,11,Apartment,168,3,3,1966,Needs Renovation,9.22,3331308.79
+P10981,10,Apartment,60,4,5,1911,Good,6.97,1059670.06
+P10982,17,Studio,39,2,9,2006,Needs Renovation,7.23,341253.25
+P10983,16,Apartment,148,4,8,1927,Good,8.41,1515081.57
+P10984,9,Apartment,104,1,3,1912,New,2.04,1766263.67
+P10985,8,Loft,82,5,1,1991,Renovated,12.18,1045445.24
+P10986,15,Apartment,63,4,0,1862,New,9.47,1231349.19
+P10987,17,Studio,140,2,4,2005,Needs Renovation,6.72,2240108.97
+P10988,3,Apartment,182,2,6,1928,Needs Renovation,5.34,1504235.49
+P10989,5,Studio,95,4,3,1895,Renovated,9.2,1601511.83
+P10990,9,Penthouse,26,2,2,2011,Needs Renovation,14.08,474931.95
+P10991,11,Penthouse,148,5,5,1867,Needs Renovation,5.25,2777777.64
+P10992,9,Studio,137,5,6,1897,New,8.97,1743136.8
+P10993,7,Studio,98,3,4,1897,New,5.66,1785253.16
+P10994,5,Apartment,83,3,2,1971,Good,11.23,937023.88
+P10995,15,Loft,195,5,2,1942,Renovated,4.65,1838709.29
+P10996,14,Apartment,168,5,8,1860,Renovated,10.71,2852000.41
+P10997,7,Loft,120,5,6,1863,Renovated,10.59,1586970.71
+P10998,15,Penthouse,52,4,1,2018,New,12.41,473854.04
+P10999,3,Studio,159,1,2,1850,Renovated,8.68,2782928.65
+P11000,20,Apartment,18,2,9,1934,Good,9.45,179911.15
+P11001,11,Studio,146,2,1,1861,New,11.55,2442809.75
+P11002,8,Penthouse,112,5,8,1976,Needs Renovation,4.11,1792025.52
+P11003,17,Apartment,16,2,4,1859,Renovated,12.29,192212.97
+P11004,9,Studio,126,4,5,1935,New,8.59,1136469.03
+P11005,13,Loft,64,4,6,1986,Good,5.25,1220591.47
+P11006,4,Loft,180,5,9,1968,New,1.09,2465501.05
+P11007,5,Apartment,148,1,5,2001,New,5.21,2291370.09
+P11008,2,Studio,134,5,4,1906,Good,3.93,1904960.77
+P11009,7,Loft,47,3,8,1945,Renovated,12.76,817612.13
+P11010,3,Penthouse,56,3,8,2019,New,1.4,619597.45
+P11011,1,Apartment,40,1,1,1906,Good,1.26,377221.01
+P11012,15,Studio,140,5,6,1882,New,12.74,2328047.04
+P11013,11,Apartment,32,1,3,1884,New,12.98,407012.41
+P11014,15,Apartment,160,5,4,1987,Good,6.36,2978831.26
+P11015,19,Loft,191,3,9,2013,Needs Renovation,7.99,3518732.71
+P11016,16,Apartment,27,1,2,1943,Needs Renovation,7.49,308406.68
+P11017,14,Studio,37,3,0,1989,Renovated,13.91,421171.75
+P11018,7,Studio,67,1,8,1961,Renovated,9.35,926449.98
+P11019,9,Loft,172,5,2,1939,Good,7.97,2031090.59
+P11020,2,Studio,90,2,1,1926,Renovated,12.98,737310.41
+P11021,16,Loft,16,5,9,1937,Needs Renovation,5.51,203665.31
+P11022,2,Apartment,165,4,4,1990,Renovated,9.91,2908035.78
+P11023,13,Studio,88,4,4,1959,Needs Renovation,4.99,1362421.61
+P11024,7,Studio,120,4,3,1934,New,5.91,1934013.65
+P11025,13,Penthouse,146,3,4,2000,Needs Renovation,5.23,2387032.78
+P11026,18,Loft,182,5,3,1953,Renovated,8.7,1740691.24
+P11027,19,Penthouse,67,2,9,1950,Needs Renovation,4.88,563682.77
+P11028,9,Studio,111,4,4,1877,New,12.53,1561146.52
+P11029,11,Studio,124,2,9,1958,New,10.31,2110117.9
+P11030,9,Apartment,92,3,3,1882,Needs Renovation,3.62,1771752.01
+P11031,17,Penthouse,119,5,9,2020,Good,12.07,2279188.17
+P11032,6,Apartment,180,5,5,1900,Good,3.45,2302112.38
+P11033,8,Penthouse,18,2,3,1874,New,6.37,154150.38
+P11034,8,Loft,112,4,8,1910,Renovated,12.83,1741205.17
+P11035,6,Studio,185,3,8,1954,Good,9.1,2684512.79
+P11036,19,Penthouse,107,1,1,1877,Renovated,3.81,1027214.3
+P11037,19,Apartment,90,4,9,1850,Renovated,2.94,1043923.75
+P11038,19,Studio,31,3,2,2023,Good,13.32,269349.77
+P11039,16,Penthouse,181,2,5,2000,Good,6.58,2746439.01
+P11040,16,Apartment,191,3,6,1979,New,14.04,2469396.7
+P11041,2,Studio,140,3,6,1973,Good,5.72,1984342.53
+P11042,1,Loft,199,5,3,2007,New,14.52,3656106.64
+P11043,11,Studio,127,2,6,1973,Good,1.5,2331150.47
+P11044,11,Studio,69,5,9,1936,Renovated,2.8,897412.02
+P11045,2,Apartment,98,4,4,1994,Good,7.31,1150185.16
+P11046,19,Studio,91,3,1,1911,New,7.94,1060954.21
+P11047,17,Penthouse,66,3,6,2021,New,1.59,901528.08
+P11048,12,Loft,48,2,9,1891,New,5.27,581583.39
+P11049,11,Penthouse,136,2,2,1998,Renovated,1.9,1503749.89
+P11050,5,Studio,106,1,4,1879,Needs Renovation,1.07,1206481.4
+P11051,16,Penthouse,23,1,8,1911,Good,7.28,397758.03
+P11052,18,Penthouse,54,3,3,1899,Good,0.65,449565.11
+P11053,19,Studio,92,1,0,1885,Needs Renovation,7.42,1363548.88
+P11054,10,Penthouse,24,1,9,1870,Good,14.21,449452.85
+P11055,6,Apartment,94,4,5,1874,Needs Renovation,14.4,1262786.38
+P11056,19,Apartment,134,5,5,1906,Good,4.55,2004365.96
+P11057,20,Penthouse,142,1,2,2019,Good,8.89,2837943.16
+P11058,19,Apartment,54,3,5,1904,Needs Renovation,1.58,905041.12
+P11059,5,Penthouse,186,5,7,1961,New,14.2,3429128.71
+P11060,8,Penthouse,129,5,6,1930,Renovated,9.57,1915681.89
+P11061,6,Apartment,33,3,5,1891,Renovated,14.43,533163.09
+P11062,15,Apartment,34,1,1,1912,Renovated,10.48,277792.23
+P11063,7,Studio,33,1,1,1966,New,14.36,348404.28
+P11064,12,Penthouse,95,4,3,2002,New,12.87,870555.79
+P11065,1,Apartment,43,1,7,1863,Needs Renovation,4.78,484178.72
+P11066,15,Loft,184,1,1,1866,Good,12.85,2946951.18
+P11067,14,Loft,113,1,8,1864,Needs Renovation,0.97,2118604.94
+P11068,12,Loft,177,3,3,1914,New,3.22,2142555.48
+P11069,16,Studio,123,1,6,1973,Good,7.94,1332330.99
+P11070,15,Apartment,126,3,6,1931,New,13.09,2076917.95
+P11071,10,Apartment,68,2,1,1887,Renovated,4.31,847587.55
+P11072,9,Apartment,151,3,7,1884,New,8.48,2509320.32
+P11073,11,Studio,156,4,6,2002,Needs Renovation,13.39,2539910.48
+P11074,6,Apartment,164,4,6,1917,New,12.42,1765268.23
+P11075,11,Loft,15,1,9,1982,New,10.81,128624.5
+P11076,14,Studio,56,4,1,1923,Needs Renovation,8.08,1103135.67
+P11077,6,Apartment,122,2,6,1911,New,0.54,2127189.54
+P11078,11,Studio,133,2,5,1894,Good,11.22,1166295.16
+P11079,14,Penthouse,140,2,5,1950,Renovated,7.17,2533924.97
+P11080,10,Studio,17,2,0,1856,New,4.18,160280.35
+P11081,2,Loft,80,4,7,1866,Needs Renovation,4.43,725983.38
+P11082,5,Apartment,83,2,2,1870,Renovated,6.17,671362.33
+P11083,1,Loft,18,3,3,1950,New,1.49,234362.69
+P11084,10,Loft,68,3,8,1889,Good,1.83,761704.35
+P11085,4,Apartment,60,5,0,2013,Good,5.04,738966.4
+P11086,6,Penthouse,113,1,8,1926,New,6.43,1855322.5
+P11087,16,Apartment,66,4,9,1871,Renovated,4.91,1077155.01
+P11088,13,Loft,197,3,9,1989,Needs Renovation,11.04,2270819.22
+P11089,9,Apartment,98,5,4,1861,Needs Renovation,8.21,1048789.36
+P11090,6,Penthouse,111,1,2,1852,Needs Renovation,4.28,1889395.15
+P11091,12,Studio,25,5,9,1965,Needs Renovation,8.02,370791.5
+P11092,2,Penthouse,45,3,1,1919,Needs Renovation,3.14,602604.81
+P11093,15,Penthouse,174,4,1,2002,Good,8.53,2066026.85
+P11094,9,Apartment,53,1,5,1974,Good,4.91,713428.1
+P11095,4,Apartment,84,2,3,1938,Renovated,6.86,1578941.02
+P11096,18,Loft,127,5,0,1901,Good,4.35,1777311.66
+P11097,18,Apartment,128,5,5,1967,Needs Renovation,1.68,1076802.85
+P11098,17,Loft,78,2,1,1936,Needs Renovation,2.87,872146.0
+P11099,19,Studio,68,3,1,1943,Needs Renovation,10.17,942650.65
+P11100,10,Apartment,73,5,4,1894,Needs Renovation,11.26,1153011.06
+P11101,2,Studio,105,2,9,1977,New,6.95,1623113.59
+P11102,15,Studio,61,5,4,1902,Good,12.61,585747.06
+P11103,7,Studio,168,3,5,1974,Good,2.97,2827615.54
+P11104,2,Loft,53,4,7,1913,New,9.24,719104.27
+P11105,14,Studio,25,1,0,1870,Good,6.41,499459.97
+P11106,20,Penthouse,116,2,1,1972,Renovated,9.89,1018865.25
+P11107,3,Apartment,113,3,6,1978,Needs Renovation,13.72,1785653.8
+P11108,18,Loft,98,3,1,1975,Renovated,10.67,1034093.2
+P11109,9,Loft,83,1,5,2008,New,9.8,1089187.15
+P11110,20,Loft,90,4,0,1919,New,13.75,1287343.73
+P11111,14,Studio,145,2,9,1939,Good,10.87,2311550.67
+P11112,19,Apartment,40,5,0,1993,New,9.17,380120.59
+P11113,19,Apartment,194,5,6,1998,Renovated,13.11,2597359.91
+P11114,18,Penthouse,169,2,5,2023,Needs Renovation,14.1,1848160.45
+P11115,9,Loft,22,1,5,1870,Needs Renovation,4.19,321350.65
+P11116,19,Loft,99,4,1,1942,New,8.42,1402659.76
+P11117,6,Penthouse,29,2,5,1929,Needs Renovation,13.11,494085.36
+P11118,5,Loft,123,5,6,2018,New,12.69,1068135.52
+P11119,13,Penthouse,94,4,4,1922,Good,4.62,875505.82
+P11120,2,Loft,105,5,2,1898,Renovated,9.57,873526.54
+P11121,12,Apartment,86,5,6,1891,Renovated,5.61,1384838.22
+P11122,10,Penthouse,41,2,8,1922,Renovated,12.95,391889.65
+P11123,16,Apartment,143,2,8,1974,Good,12.29,2024025.48
+P11124,5,Penthouse,139,2,1,1907,Needs Renovation,10.7,2143299.42
+P11125,11,Penthouse,101,2,4,1997,Needs Renovation,12.84,876131.25
+P11126,20,Apartment,126,4,0,1978,Good,0.98,1976356.28
+P11127,15,Studio,119,3,7,1894,Needs Renovation,13.77,1969050.45
+P11128,16,Penthouse,38,2,3,1865,New,11.43,650093.44
+P11129,17,Studio,196,1,0,1928,New,7.65,2393028.97
+P11130,10,Loft,82,3,9,1924,Good,4.74,1569166.01
+P11131,17,Apartment,117,1,6,1908,Good,7.14,1433785.69
+P11132,7,Studio,21,1,4,1928,New,3.48,393745.56
+P11133,8,Apartment,141,4,4,2013,Needs Renovation,3.26,2051271.38
+P11134,2,Penthouse,91,1,2,1961,Good,12.37,1240213.24
+P11135,9,Penthouse,50,1,9,1932,Needs Renovation,12.04,744749.32
+P11136,17,Loft,142,3,3,1950,New,1.92,1358066.02
+P11137,1,Studio,178,4,4,2018,Renovated,5.81,3397090.26
+P11138,16,Loft,80,5,6,1896,Good,4.36,849570.99
+P11139,16,Penthouse,68,2,2,1922,Renovated,6.66,915742.49
+P11140,6,Penthouse,63,5,0,1948,New,3.78,642668.27
+P11141,10,Apartment,193,4,8,1972,Needs Renovation,13.7,2180957.37
+P11142,2,Studio,158,4,6,1863,Good,6.85,2459684.52
+P11143,8,Studio,113,5,9,1881,Good,14.14,1937447.77
+P11144,9,Loft,95,5,8,2010,New,7.37,1757207.76
+P11145,1,Loft,160,1,1,2002,Good,4.23,1801147.26
+P11146,6,Apartment,134,2,3,1931,Good,7.14,1117219.38
+P11147,9,Penthouse,191,4,2,1963,Renovated,9.14,3586551.65
+P11148,14,Loft,78,5,9,1869,Renovated,12.39,1166502.54
+P11149,15,Penthouse,71,5,0,1941,Good,3.93,793925.47
+P11150,15,Penthouse,22,4,4,1967,Needs Renovation,14.83,379285.6
+P11151,19,Apartment,59,1,0,1975,New,8.07,515727.77
+P11152,17,Penthouse,128,4,9,1879,Renovated,1.84,2224735.73
+P11153,10,Apartment,144,3,8,1990,Needs Renovation,13.64,2240093.25
+P11154,3,Penthouse,177,1,5,1890,Renovated,10.04,1455360.34
+P11155,11,Penthouse,45,4,1,1926,Renovated,12.72,784713.09
+P11156,10,Studio,72,2,7,2020,Good,5.73,1188216.18
+P11157,17,Studio,176,5,5,1967,New,8.25,2464071.63
+P11158,20,Loft,155,3,7,1902,Renovated,5.5,2122632.43
+P11159,5,Apartment,63,2,3,1860,Needs Renovation,9.64,1119088.26
+P11160,10,Penthouse,160,5,3,1895,Needs Renovation,9.83,2483399.4
+P11161,13,Loft,195,3,7,1947,New,2.86,2612244.13
+P11162,19,Studio,87,3,8,1868,Renovated,6.4,1585050.98
+P11163,8,Loft,142,3,7,1875,Renovated,6.81,1150686.78
+P11164,17,Penthouse,97,2,6,2018,Good,2.61,784687.1
+P11165,18,Studio,111,2,7,1982,Renovated,6.88,1124941.57
+P11166,4,Loft,131,5,4,1871,Good,11.21,1956959.3
+P11167,9,Studio,170,1,0,1867,Renovated,3.46,2464125.96
+P11168,3,Studio,44,2,6,2010,Renovated,7.46,541416.05
+P11169,8,Penthouse,180,2,1,2015,Needs Renovation,0.51,3420192.97
+P11170,11,Penthouse,160,3,9,1866,Renovated,7.23,2661057.17
+P11171,19,Penthouse,171,2,5,1855,Needs Renovation,7.56,3245256.09
+P11172,4,Loft,154,3,2,2000,New,7.12,2409334.72
+P11173,19,Apartment,118,2,4,1987,Needs Renovation,11.78,2260788.8
+P11174,7,Apartment,23,4,1,1900,Needs Renovation,14.02,296147.7
+P11175,17,Penthouse,49,3,7,1919,Needs Renovation,5.7,441517.25
+P11176,2,Studio,161,3,8,1965,Good,14.45,2118459.9
+P11177,7,Penthouse,81,3,3,1978,Needs Renovation,10.26,929332.15
+P11178,19,Loft,77,5,8,1979,Good,0.86,1440641.44
+P11179,11,Studio,190,3,6,1907,New,3.58,2735943.07
+P11180,16,Penthouse,177,4,8,1892,Good,5.81,1855238.26
+P11181,11,Apartment,191,3,6,1915,New,10.36,2303857.77
+P11182,15,Penthouse,129,2,9,1927,Good,11.26,2549444.35
+P11183,6,Studio,62,1,5,1939,Needs Renovation,13.54,586474.31
+P11184,3,Studio,52,5,4,1876,Needs Renovation,14.23,922023.56
+P11185,14,Loft,58,4,0,1976,Needs Renovation,10.49,520146.16
+P11186,16,Loft,145,4,1,1895,New,12.17,2575855.87
+P11187,2,Studio,172,5,4,1948,Renovated,8.73,1972806.29
+P11188,1,Penthouse,173,1,4,1964,Good,14.43,1951873.25
+P11189,1,Apartment,45,3,1,1954,Good,0.71,437253.45
+P11190,8,Penthouse,16,5,4,2022,Renovated,13.6,285950.23
+P11191,5,Apartment,34,5,1,1874,Needs Renovation,7.8,301462.98
+P11192,17,Penthouse,174,2,8,1916,Good,9.9,2405286.84
+P11193,3,Apartment,65,5,8,1906,Renovated,14.45,1200467.76
+P11194,10,Loft,90,5,6,1980,Renovated,9.52,1351725.37
+P11195,14,Studio,173,5,5,2010,Renovated,2.42,2328490.48
+P11196,16,Penthouse,192,4,1,1965,Good,6.56,2794554.47
+P11197,6,Loft,123,2,7,1961,New,13.18,2247682.75
+P11198,8,Studio,151,2,1,1926,Good,14.43,1236847.52
+P11199,7,Apartment,29,4,4,2018,Good,11.57,265630.92

pythonanalysis.ipynb

@@ -0,0 +1,409 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "0701738d",
+      "metadata": {
+        "id": "0701738d"
+      },
+      "source": [
+        "# Notebook 2: Analysis & Visualization"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "3486528e",
+      "metadata": {
+        "id": "3486528e"
+      },
+      "outputs": [],
+      "source": [
+        "\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "e116aab2",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 244
+        },
+        "id": "e116aab2",
+        "outputId": "3e5d057c-6dd9-4b1f-8e77-699d095b44f9"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  Property_ID  Arrondissement Property_Type  Size_sqm  Rooms  Floor  \\\n",
+              "0      P10000               4     Apartment       117      4      7   \n",
+              "1      P10001               8        Studio        89      3      3   \n",
+              "2      P10002               4     Apartment       164      5      5   \n",
+              "3      P10003               2     Apartment        35      1      5   \n",
+              "4      P10004               7        Studio        73      2      2   \n",
+              "\n",
+              "   Year_Built         Condition  Distance_to_Center_km   Price_EUR  \n",
+              "0        1870         Renovated                   2.76  2270802.89  \n",
+              "1        1953              Good                  10.77  1637076.12  \n",
+              "2        1979  Needs Renovation                   3.14  3220782.59  \n",
+              "3        1938               New                   4.72   407781.74  \n",
+              "4        1957               New                   7.96   624879.12  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-f7df10ee-eaa6-4034-a5fb-b1c80691be6b\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Property_ID</th>\n",
+              "      <th>Arrondissement</th>\n",
+              "      <th>Property_Type</th>\n",
+              "      <th>Size_sqm</th>\n",
+              "      <th>Rooms</th>\n",
+              "      <th>Floor</th>\n",
+              "      <th>Year_Built</th>\n",
+              "      <th>Condition</th>\n",
+              "      <th>Distance_to_Center_km</th>\n",
+              "      <th>Price_EUR</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>P10000</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Apartment</td>\n",
+              "      <td>117</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1870</td>\n",
+              "      <td>Renovated</td>\n",
+              "      <td>2.76</td>\n",
+              "      <td>2270802.89</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>P10001</td>\n",
+              "      <td>8</td>\n",
+              "      <td>Studio</td>\n",
+              "      <td>89</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3</td>\n",
+              "      <td>1953</td>\n",
+              "      <td>Good</td>\n",
+              "      <td>10.77</td>\n",
+              "      <td>1637076.12</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>P10002</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Apartment</td>\n",
+              "      <td>164</td>\n",
+              "      <td>5</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1979</td>\n",
+              "      <td>Needs Renovation</td>\n",
+              "      <td>3.14</td>\n",
+              "      <td>3220782.59</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>P10003</td>\n",
+              "      <td>2</td>\n",
+              "      <td>Apartment</td>\n",
+              "      <td>35</td>\n",
+              "      <td>1</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1938</td>\n",
+              "      <td>New</td>\n",
+              "      <td>4.72</td>\n",
+              "      <td>407781.74</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>P10004</td>\n",
+              "      <td>7</td>\n",
+              "      <td>Studio</td>\n",
+              "      <td>73</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1957</td>\n",
+              "      <td>New</td>\n",
+              "      <td>7.96</td>\n",
+              "      <td>624879.12</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f7df10ee-eaa6-4034-a5fb-b1c80691be6b')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-f7df10ee-eaa6-4034-a5fb-b1c80691be6b button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-f7df10ee-eaa6-4034-a5fb-b1c80691be6b');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1200,\n  \"fields\": [\n    {\n      \"column\": \"Property_ID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1200,\n        \"samples\": [\n          \"P11178\",\n          \"P10865\",\n          \"P10101\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Arrondissement\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 1,\n        \"max\": 20,\n        \"num_unique_values\": 20,\n        \"samples\": [\n          4,\n          6,\n          19\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Property_Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Studio\",\n          \"Penthouse\",\n          \"Apartment\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_sqm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 54,\n        \"min\": 15,\n        \"max\": 199,\n        \"num_unique_values\": 185,\n        \"samples\": [\n          66,\n          172,\n          46\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3,\n          2,\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Floor\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 9,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          4,\n          3,\n          6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year_Built\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 49,\n        \"min\": 1850,\n        \"max\": 2023,\n        \"num_unique_values\": 174,\n        \"samples\": [\n          1956,\n          1859,\n          1864\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Condition\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Good\",\n          \"New\",\n          \"Renovated\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Distance_to_Center_km\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.179961254539273,\n        \"min\": 0.51,\n        \"max\": 14.99,\n        \"num_unique_values\": 805,\n        \"samples\": [\n          11.19,\n          8.59,\n          7.57\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price_EUR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 873789.6431763031,\n        \"min\": 120525.79,\n        \"max\": 3950831.82,\n        \"num_unique_values\": 1200,\n        \"samples\": [\n          1440641.44,\n          2451590.76,\n          1512200.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ],
+      "source": [
+        "import pandas as pd\n",
+        "\n",
+        "# Load processed data from Notebook 1\n",
+        "df = pd.read_csv(\"/content/paris_housing_prices_dataset 2 (1).csv\")\n",
+        "\n",
+        "df.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "id": "46ae912f",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "46ae912f",
+        "outputId": "32b7f39c-37f5-4d23-ead7-02d54351b3d0"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Average price per sqm: 14043.241108249147\n",
+            "Median price per sqm: 13997.493494318182\n"
+          ]
+        }
+      ],
+      "source": [
+        "df['price_per_sqm'] = df['Price_EUR'] / df['Size_sqm']\n",
+        "\n",
+        "# Basic stats\n",
+        "print(\"Average price per sqm:\", df['price_per_sqm'].mean())\n",
+        "print(\"Median price per sqm:\", df['price_per_sqm'].median())"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "id": "22bca94c",
+      "metadata": {
+        "id": "22bca94c"
+      },
+      "outputs": [],
+      "source": [
+        "\n",
+        "# Group analysis if arrondissement exists\n",
+        "if 'arrondissement' in df.columns:\n",
+        "    print(df.groupby('arrondissement')['price_per_sqm'].mean())\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "id": "2080b14e",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "2080b14e",
+        "outputId": "d238f385-47f9-467a-eaaa-8516dbf09708"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "\n",
+        "# Histogram\n",
+        "plt.figure()\n",
+        "plt.hist(df['price_per_sqm'])\n",
+        "plt.title(\"Price per sqm distribution\")\n",
+        "plt.xlabel(\"Price per sqm\")\n",
+        "plt.ylabel(\"Frequency\")\n",
+        "plt.show()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "effa6c00",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "effa6c00",
+        "outputId": "dbbefb4c-a092-47fa-afd0-a321f88c0b14"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "\n",
+        "# Scatter plot\n",
+        "price_col = [c for c in df.columns if 'price' in c.lower()][0]\n",
+        "surface_col = [c for c in df.columns if 'surface' in c.lower() or 'sqm' in c.lower()][0]\n",
+        "\n",
+        "plt.figure()\n",
+        "plt.scatter(df[surface_col], df[price_col])\n",
+        "plt.xlabel(\"Surface\")\n",
+        "plt.ylabel(\"Price\")\n",
+        "plt.title(\"Price vs Surface\")\n",
+        "plt.show()\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "6166964a",
+      "metadata": {
+        "id": "6166964a"
+      },
+      "source": [
+        "\n",
+        "## Key Insights\n",
+        "- Price per sqm is the key metric for comparison\n",
+        "- Larger homes increase total price but not always efficiency\n",
+        "- Location strongly impacts value\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}