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Ch 21 Research Analysis Assignment - Univariate Analysis Attached Fles Research Aralysis Assignment Outine.docx At (15206 KB) a house data Soobs.xlsx (59:976 KB) Using the house dataset, which describes the housing market of Kings County in the state of Washington, use a univariate model to work through the Business Research Process using the attached outline document to construct your response. Under Sections where this methodology does not provide an appropriate response (such as 5c. state as much The King's County housing dataset could be used for a variety of research questions. You could be a buyer, seller, real estate professional tax professional, county official economist, market analyst, banker, mortgage lender, etc. Pick a topic of interest and use it to build out the research question and the succeeding questions using the Assignment Outline provided. Take some berty with your ideas and build it out knowing what the collected dataset looks like. The second half of the research process, particularly the Data Processing and Analysis portion should be constructed using the dataset provided following your declared research question and research objectives. Use some creativity but follow your research objective to the end of the assignment once it is selected. Practice using both Tableau and Excel to build out your graphstablesviralizations in order for the univariate example to work, we must select a house to compare against the population. In a separate tab in the excel file. I have constructed a sample from the population for you to use to test your hypothesis. Consider this sample as your sample of interest Using the research question and dataset provided, answer the following questions. Provide graphics and tables where appropriate. Make an effort to explain your logic and decisions. 1) Problem Discovery a. Describe the problem. b. What exploratory technique is the best fit to identify the research question? Why? c. What is the research question? d. What do you believe the results/relationship will be? e. State the Hypothesis and the Null Hypothesis 1. In English II. In Math :(x 3) 2) Planning Research Design I a. Identify and Describe the best research method(s) to collect data for the research. b. Why would this method be best? 3) Sampling a. What type of sampling would you suggest for data collection? b. Describe the sampling technique. What are the benefits and drawbacks of this sampling design? 4) Data Gathering a. Describe the data set, variables and how it was obtained. b. Identify the dependent variable. c. Provide an explanatory table/graph of the data. 1. This should be an interesting description that says something about the data or maybe why its important. Bar/line/pie or similar d. Descriptive Table 1. This should be a Descriptive table that include Mean, Median, Max, Min and Standard Deviation of the variable(s) II. Make it a standalone table Ill. But describe in in the text 5) Data Processing and Analysis a. Describe the statistical process used and why it was selected. b. Write the statistical model in equation form. c. Results Table (table) d. Is this model significant? At what level? e. Provide a table/graphic if appropriate. 6) Conclusions a. What is the conclusion of your research? (one sentence) b. How does this compare to your original belief? What bias(es) did you bring to this work? + Comment ke_house_data sample id date price bedrooms bathrooms sqft_lving sqft_lot floors waterfront yr built 11510310 20140905TS 835,000.00 4 2.75 31.30 13412 2 0 1993 46100204 201502211 $ 1,505,000.00 5 3 3300 33474 1 0 1957 600000152 20140502 404,000.00 3 1.5 2030 8880 1 0 1963 723099065 20150130T S 465,000.00 3 1840 40438 2 0 1994 1324300398 2015040915 560,000.00 3 1 1110 5000 1.5 0 1947 1525059190 201409127 S 1,040,000.00 5 3.25 4770 50094 1 0 1973 1695900060 201505111 $ 535,000.00 4 1 1610 2982 15 0 1925 1762500070 20150116T S 917,500.00 4 25 3880 35003 2 0 1984 1794500383 20140526T S 927,000.00 3 1.75 2450 2691 2 0 1915 1923000030 20140728T S 1,118,000.00 4 25 3840 15619 2 0 1983 1952200240 201406111 S 850,810.00 3 25 2070 13241 1.5 1910 1959700550 2014090STS 740,000.00 4 2 2050 4400 1.5 0 1922 2078500320 201406201 $ 605,000.00 4 25 2620 7553 2 2268400350 2014091615 1996 749,000.00 4 25 1710 2287000060 20140912T $ 9527 1 0 1976 799,000.00 3 2.5 2140 9897 1 0 1959 2450000295 20141007 1,088,000.00 3 25 2920 8111 2 0 1950 2597650240 20141023TS 520,000.00 3 2.35 2010 16200 2 O 1984 3127200041 20140613TS 589,000.00 4 3 2440 9600 2 0 1961 3224079105 201403STS 430,000.00 2 2.5 2420 50984 2 0 2007 4232901525 20140627 $ 665,000.00 2 1 1110 3200 1 0 1925 5101404898 201405193 592,500.00 2 2 1420 9191 15 0 1928 5423010350 20150210T $ 1,280,000.00 5 25 3400 9500 2 0 1977 5611500140 20140822TS 686,000.00 4 25 2750 5440 2 0 1999 6073240060 20141002TS 50,000.00 4 3 3280 11060 2 o 1986 6189200125 20150325TS 849,950.00 3 3 2990 9773 2 0 1973 6388930390 20141120T S 650,000.00 S 3.5 3960 25245 2 O 1996 6619910140 2015022415 630,000.00 4 1.75 2950 9025 1 0 1975 7766200013 20140R11TS 775,000.00 4 2.25 4220 24186 1 0 1984 7771300125 20150408T $ 487,000.00 3 2 2590 14052 1 0 1948 8123100045 20150414T 5 470,000.00 4 3 2380 5125 15 0 1925 8820901275 20140510TS 571,000.00 4 2 2750 7807 1.5 1915 9270200160 20141028T S 685,000.00 3 1 1570 2280 2 0 1922 9385200055 20140912T S 650,000.00 3 3.25 1510 2000 2 2001 9423400140 20140609T $ 450,000.00 3 1.75 1640 13500 1 1940 9528102996 20141207T $ 549,000.00 3 1.75 1540 1044 3 0 2014 yr renovatipcode lat long 98052 47.6993 -122.102 1991 98040 47 5673 -12221 98108 47.5586 -122 311 0 98045 474853 -171.709 0 98107 47.655 -122.359 0 98005 47.6525 -122.16 0 98144 47587 122 294 0 98033 47.5477 -122.182 0 98119 47.5386 -122 36 0 98040 47.5544 -122.213 0 98102 47.6415 -122 315 0 98102 47544 -122.319 0 98056 47 5301 -122.18 2014 98006 47559 - 122.164 0 98040 475505 122.219 2010 98004 47.5814 -122.195 0 9R027 47 5162 122.057 0 98014 47.7044 -1222 0 47.5262 121.343 98119 47.633 12235 O 98115 47.5979 -122.32 O 98027 475645 -122.087 98075 47.5836 122026 0 98056 47.5399 -122181 98005 47.6144 -122.174 0 98056 47.525 122.172 0 98034 47.7128 122.223 98166 47.445 122 347 0 98133 47 7357 -122.333 0 98126 47.5384 122.376 0 98125 47.7168 -122287 98119 47.6413 -122 364 98116 47.5815 -122.402 0 98125 47.7164 -122 304 0 98115 47.6765 - 12232 9022 OO God 2753 Vw 1 ke house data sample lat long Yr_renovatizipcode floors waterfront wr_built id bedrooms bathrooms selling sqft_lat date price 47.6053 -122077 98074 1 2002 1 18641 5 4550 4 $ 3,075,000.00 3225069065 20140624TO00000 98004 0 -122.223 47.6312 1982 2008 4 20100 15 3.25 SOS $ 2,900,000.00 7960900050 20150504 TOOOOOO 122.072 47.6338 98074 0 1 2000 3650 1 8354 4 25 $ 2,400,000.00 2025069065 20140929TDOOOOO O -122 367 98119 0 47.5145 1921 2 5 3650 9050 25 1850600135 20140502T000000 $ 2,384.000.00 47.562 98005 0 2006 -122.152 5180 2 19850 4 3.25 7855801670 201504017000000 $2,250,000.00 - 122.287 O 98122 1994 47 5156 2 5 BARO 1905 3 3810 $ 2,050,000.00 7424700045 20150513T000000 -122.233 0 47.5316 0 98040 1968 3050 1 2.75 44867 2524049179 20140826TDOOOOO $ 2,000,000.00 O 98024 2 47.5954 -121.95 1999 5 867R500060 20140710T000000 4.25 $ 1,550,000.00 171526 5070 -122.21 47.5673 0 1991 1 1957 98040 5 3300 3 33474 46100204 20160221 TOOOOOO $ 1,505,000.00 1992 -122.212 1914 17789 98004 47,5141 1.5 2750 2.75 4389200955 20150302T000000 4 $ 1.450,000.00 98014 1999 0 3970 24920 1977 3 4055700030 201505OZTOOOOOO 47.7183 -122.258 45 $ 1,450,000.00 2 -122 102 0 0 4290 4139480200 20141209T000000 3.25 12103 $ 1,400,000.00 47 5503 98006 1 4 1997 0 0 181319 98074 2.5 4 4850 $ 1,385,000.00 2625069070 20150410T000000 47.6179 1993 -122.005 3.25 4 4139480200 201405181000000 0 0 17103 $ 1,314,000.00 3.25 1 4290 -122.102 1997 47.5503 98005 4.75 $ 1,365,000.00 5310 57346 4054500190/20141007T000000 0 2 0 4 98077 1989 -122.042 47.7285 S 1,350,000.00 3 822039084 20150311T000000 2.5 65005 1 1 1953 0 98070 47.4041 122.451 713500030 20140728T000000 $ 1,350,000.00 5 3.5 4.800 14984 2 0 1998 98006 47.5543 -122.148 1802000060 20140612TO00000 $ 1,325,000.00 5 2.25 3200 20158 1 0 1965 0 98004 476303 -122 215 9808550060 20150225T000000 $ 1,300,000.00 3 2 2350 15021 1 0 1976 0 98004 47.5408 -122.219 5423010350 20150210T000000 $ 1,280,000.00 5 25 3400 9500 2 0 1977 0 98027 47.5645 -122.082 7237550310 201405121000000 $ 1,225,000.00 4 4.5 5420 101930 1 0 2001 0 98053 47.5551 - 122.005 8820902200 20141113TOCO000 $ 1,199,000.00 4 2.75 4110 8400 2 0 1928 2013 98125 47.717 -122 281 8651610890 20141014TO00000 $ 1,150,000.00 4 3.25 4190 10259 2 0 2000 0 98074 47.6332 -122.066 1923000030 20140726T000000 5 1.118,000.00 4 2.5 3840 16619 2 0 1983 0 98040 475634 -122 213 5036300431 20150311T0OO000 $ 1,099,880.00 5 2.75 3520 6353 2 0 2001 0 98199 47.6506 -122.391 825059270 20141121 T000000 $ 1.095,000.00 5 3 4090 12850 1 0 1986 0 98033 47.6627 -122.18 2450000295 20141007T000000 $ 10,000.00 3 2.5 2920 8113 2 0 1950 2010 98004 475814 -122 196 1250202145 20140RZATOO0000 $ 1,072,000.00 2 2.25 3900 14864 1 0 1947 47 5884 -122.291 9286000240/20140711T000000 $ 1,067,000.00 5 3.5 4860 11793 2 0 1998 0 98006 47 5521 -122.137 6154500070 20140526T000000 $ 1,050,000.00 4 35 3450 7832 2 0 2007 0 98006 47.5637 -122 123 1575059190 20140912T000000 $ 1,040,000.00 5 3.25 4770 50094 1 0 1973 0 98005 2024069128 20141110T000000 47.6525 $ 1.030,000.00 -122.16 3 25 3545 9816 1 0 2005 O 1762600320 20140610T000000 98027 47 5534 -122.078 $ 1,025,000.00 5 4 3760 28040 2 0 1983 0 98033 3454000060 20140722T000000 $ 1,000,000.00 47.5489 - 122.183 6 25 2610 3277 1.5 0 0 98103 2944010240 20140308T000000 $ 47.5636 -12233 988,000.00 4 3 4040 19700 2 0 1987 D 3394100030 20140909T000000 98052 S 975,000.00 -122.127 4 25 47.7205 2720 11049 2 0 1989 0 7922800400 20140827T000000 $ 98004 47.5815 951,000.00 5 3.25 -122 192 3250 14342 2 D 1968 0 624111000 20140805T000000 5 98005 950,000.00 47.588 3 3 4040 14338 -122.116 2 0 4232902595 20141114T000000 1986 5 0 98077 3 940,000.00 1.5 2140 3600 477268 -122.06 2 0 191100045 20140703T000000 1925 5 D 98119 940,000.00 4 2 2490 47.6337 9525 -122.365 1794500383 20140626T000000 2 0 1968 0 $ 937,000.00 3 1.75 2450 2691 98040 47 5639 -122 217 2 1653500070 20140512 T000000 0 1915 $ 0 98119 927,000.00 4 2.75 47.6386 3300 12090 -122 35 2 1526069017 20141203T000000 0 1953 5 921,500.00 4 0 2.5 3670 98004 47.6294 315374 -122.218 4217401195 20150303T000000 2 0 $ 1994 920,000.00 0 5 2.25 2730 98077 6000 47 7421 15 1762600070 20150116TOCO000 -122.026 0 5 917 500.00 1927 o 4 3880 35003 98105 47.6571 - 122.281 1483300570 20140908T000000 $ 2 0 1984 905,000.00 4 2.5 0 3300 98033 47.5477 10250 2215201602015030ATOOOOOO -122 182 1 0 1946 900,000.00 3 1991 2.5 1400 16603 98040 475873 -122.249 2 2000 0 TS 47.601 98144 1922 . 3 Colabor Table Insert Chart Text Shape Media Comment 77972 4000 5000 5750 22111 OOOOOOOO 6151 1330 2550 2830 2800 3360 3840 3595 3390 2270 2070 2990 3130 2480 2840 3130 2370 3430 2320 1954 0 0 2002 a 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2.5 3.5 2.5 4.25 2.75 2.75 2.75 2.5 3 25 1.75 3.5 2.75 25 4 35 2.75 1.75 25 25 35 25 3 4 4 4 4 3 5 4 4 3 3 3 4 4 4 4 4 5 5 3 4 4 3 3 4 5 4 3 4 4 3 3 4 4 3 4 0 0 0 0 0 0 0 O 3150 0 . 176% View Zoom Add Category ke_house_data sample 325059171 20140SOSTOO0000 $ 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2580 3830 2140 2510 3040 1510 2370 2290 2440 3950 1660 3500 4220 2910 3820 1710 4380 2050 3230 1928 1905 1995 1951 1994 2000 2014 2011 1965 1910 1973 1991 1966 1986 1993 1928 1986 1926 2013 1950 1991 1999 1993 1959 1969 1966 1911 1977 1981 1989 1989 1911 2005 1984 1990 2014 1976 1900 1922 2004 1913 1925 1983 2002 2005 1980 1919 1983 5639 5298 10460 13241 9773 8750 11010 40119 13412 4000 35102 4960 7119 9897 15420 4499 22.1284 9897 11585 9570 3500 10289 13416 69415 111078 4400 7018 24186 10204 26300 9627 6350 4400 7331 3300 4140 11800 1968) 7173 20978 5000 107593 2.25 98033 47.6891 98109 47.5354 98105 47.6597 98105 47.569 98075 47.5951 98074 47 6335 98053 47.6848 98074 47.5906 98040 475503 98102 47.6415 98005 47,5344 98052 47 6954 98040 47 5378 98038 47.401 98052 47.6993 98144 47.601 98075 47.5822 98103 47.6763 98052 47.5759 98040 47.5505 98074 47.6375 98005 47 565 98077 47.7641 98040 47.5505 98040 475483 98006 47.5651 98103 47.5794 98005 47.592 98007 47 6194 98075 475944 98052 47.597 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Category View team + e hoe data sample 1673100190201502TDOC000 3 719,000.00 2122039094 20141126TDOOOOO $ 705,000.00 6021501515 20141223TDOCOCO $ 700,000.00 7214720075 20141212 TOOOOOO $ 599,950.00 8691370400 20141216TOOOOOO $ 599,900.00 9547205160 20140613TOOOOOO $ 696,000.00 1873100060 20140829TDOOOO S 693,000.00 1224059104 20150421T000000 $ 591,100.00 461000190 201405241000000 $ 687,500.00 5611500140 20140822T000000 S 686,000.00 9270200160 20141028T000000 5 585,000.00 1115300070 20141106TDOO000 $ 584,000.00 1853000400 201503OSTDOO000 $ 680,000.00 952003285 2014080STOO0000 $ 679,900.00 9526000140 20140919TOOOOOO $ 677.900.00 2767602356 20150126T000000 $ 675,000.00 9552700140 20140702T000000 $ 675,000.00 1687900520 20140929T000000 $ 673,000.00 6116500075 20150326T000000 S 673,000.00 3760000030 20141030TDOO000 $ 569,950.00 3303700376 20141201T000000 $ 567,000.00 4232901525 20140627T000000 $ 665,000.00 3204800200 20150108 TD00000 $ 665,000.00 1736800520 20150403T000000 $ $62,500.00 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2.75 1.75 2.5 1 315 25 25 25 3.5 2.25 235 25 2.5 1 1 2.75 2.5 0 0 D 0 0 0 0 0 0 2570 1970 1580 2190 2810 2300 2450 2350 2310 2760 1570 3040 3140 2440 2440 2140 2800 2590 2990 2820 1400 1110 3320 3560 2010 2400 1450 2680 2950 2150 3960 1510 1420 2360 1070 2990 2950 1270 2570 1600 1490 1330 2180 2620 2110 1960 1410 2310 7173 20978 5000 107593 7302 3050 4425 16117 5000 6440 2280 8414 28037 5750 4587 2278 10300 8190 10400 14062 1581 3200 10574 9796 9603 6474 15798 9750 5000 21235 25245 2000 5332 5000 5000 32239 9025 1566 5520 9135 5750 2400 7297 7553 5608 5000 4080 9624 2 2 1 2 2 1.5 2 1 1.5 2 2 2 2 2 2 3 1 2 2 2 15 1 2 1 1 1 2 1 2 1 2 2 1 2 1 2 1 2 2 1 1.5 1.5 2 2 1 1 1 0 O 0 2005 1980 1939 1983 2002 1930 2005 1983 1929 1999 1922 2010 1991 2000 2010 2005 1985 1980 2002 1960 1909 1925 1960 1965 1986 1964 1915 1979 1979 1959 1996 2001 1953 1904 1924 1978 1975 2014 2000 1955 1900 1901 1984 1996 2013 1965 1950 1984 25 9052 47.7073 -122.11 98070 47,3844 -122438 98117 47.687 -122.356 98077 47.7731 -122 OR 98075 47.5985 -121.977 98115 47.5827 -122 31 98052 47.7045 -122 109 98005 475698 -122.121 98117 47 5823 -122 368 98075 47.5815 -122.026 98119 47,5413 -122.354 98059 47.5222 -122 157 98077 47.7304 -122 082 98115 47 565 -122.381 98052 47.7073 -122.114 98107 47.5734 -12238 SHO06 47.5461 -122.151 98005 47.5619 -122.125 98155 47.4508 -122 359 98034 47.7081 122 215 98112 47.6221 - 122.314 98119 47.6338 -122.358 98056 475376 -122.18 98007 47.6007 -1222145 98027 475343 -122.054 98177 47.7728 -122 386 98156 47.4497 -122.375 98034 47.7028 -122 231 98126 47.5714 -122.375 98156 47.4336 -122 339 98056 47525 -122.172 98116 47.5815 -122.402 98105 47.6694 -122.275 98107 47.6702 -122.362 98103 47.5666 -122.331 98077 47.7718 -122095 9034 47.7128 -122.223 98105 47.5647 122284 98074 47.6145 -122.027 98006 47.5724 122.179 98116 47.5872 - 122.39 98103 47.65 -122 34 98074 47.5459 -122.058 98056 47.5301 -122.18 98033 47.5743 -122.184 98136 47.5205 -122.393 98117 47.6808 -12224 98027 475386 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2 3 3 3 2 3 4 4 3 3 4 3 3 2 3 4 1430 3360 22.10 2010 2590 1580 1250 2290 1640 1290 2650 2250 2100 2100 1910 1910 1050 1520 170 1270 2320 90 2120 1750 1040 1300 1850 1580 2070 2420 1660 1120 1010 770 2500 1970 2200 1060 2020 1750 8201 720 55211 4590 5380 9550 1372 36847 3120 4500 22357 7538 2348 9976 5000 4310 60984 6000 1100 5864 5040 6840 6480 9351 8097 38332 9600 94300 36224 4500 5050 4740 2 2 1.5 1 1 2 1 1 1 3 2 1 2 2 1 1.5 2 1 2 2 1 2 1 1 1 1.5 1 1 1 1.5 1 2 1 1 15 L M 0 9AITS 47.5727 127.795 0 98058 47.4369 -122.111 0 98030 47.3828 127.071 8029 47 5517 - 121.998 o SRO21 47.7689 -122.266 0 SROS 2 47574 -122.154 O 98115 47.5796 -122.301 0 98058 47.4672 -122.165 0 98125 47.7154 -122 304 98103 47.6609 - 122 14 0 98059 47.5054 122.154 0 98146 47 5133 -122.379 O 98118 47.5299 122.266 0 98178 47.5091 -122.244 0 18034 47.7319 - 122.224 O 9024 475385 -121911 0 98115 47.5943 -122.29 0 98115 47.595 -122 304 0 98034 47.7171 - 122.193 0 9115 47.5776 -122.318 D 98045 47483 121,714 0 98103 4760 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122.175 98093 47.2909 -122.189 47725 - 122.191 SROSE 47 4441 122.125 93031 47.1954 122.206 SH042 473663 -122 123 O 903 47 307 -12201 0 47.675 121054 0 9012 47 1841 122.26 9042 47,3777 122165 90% 47 51 122.19 022 47.1913 122 012 0 98023 47 MOTS 122178 0 1042 471663 122 114 0 47 A095 122.315 1983 98178 47.4355 -122 266 9058 47.4375 -122.184 0 9031 474045 122.171 98148 474366 122.335 98001 47 378 -122257 98092 47 3266 - 122.15 o 98105 47.5544 -122355 98156 47 4776 -122337 98003 47.3255 122304 0 98133 47.7274 -122 357 D 98168 47 4889 - 122.299 o 98056 47.5112 - 122 19 98198 47.398 -122.299 98198 47.42 -122 323 98092 473163 -122.188 98038 47.3634 -122.045 98077 47.7721 -122093 0 98059 47 4787 -122.158 98038 -122031 1978 1974 1964 1954 194 1918 1980 1955 1927 1947 1991 1959 1961 1977 1979 1969 2003 2005 1967 10 1994 1994 1991 1978 2000 1963 1930 1954 1988 1954 2005 1995 1954 1954 1954 2005 1923 1993 1961 1955 1998 1997 1987 1962 1980 WING 1 1 1 1.5 1 1 1 2 2 1 1 2 2 1 1 2 1 2 1 2 1 2 2 1 1 1 3 1 2 1 2 1 1 2 1 1 D 2.25 2 25 35 15 2 1 2.5 1.75 2.5 2.5 1 1.75 1 15 1 2.25 2 175 2 D D $ 3 2 1 4 31 4 5 3 3 3 2 2 3 3 O 0 0 D 0 D 0 D 0 D 0 $ $ $ 0 0 720 8400 4648 6300 10701 21000 8200 1265 16400 7222 9750 11180 5250 7750 45004 5450 12600 O O 0 O 0 9 E E 0 0 0 0 E 3 3 3 25 1 1.75 0 0 0 0 SheetN 0 0 cho 0 0 0 0 1.75 25 1.75 15 1980 1979 1978 1954 1969 1975 1953 1969 125 0 0 Backg 1540 2010 2160 13NO 1140 1950 1530 1490 800 1550 1590 1.5 1.75 0 0 0 0 . 0 1.75 1 1 1 1 1 1 1.5 1 1 2 1 1 1 1 1 2 1943 9816 12600 9800 7140 209959 7250 7560 3750 10000 8775 8134 11914 8959 8250 9753 8811 5797 7209 5210 12500 6819 5025 3 3 3 2 2 3 4 4 4 3 3 3 3 4 4 3 3 4 5 3 3 5 3 3 2 3 4 120 0 0 0 0 0 0 0 0 0 0 0 0 0 1991 1957 1993 1954 1978 1975 1988 1420 1720 2160 1670 1810 1978 0 O 0 O 0 0 o O 0 O 0 1960 95023 0 And C seala 2525910310 20140916TOCO000 $ 272,500.00 2557000400 201504091000000 $ 272,500.00 9547R00700 20150100 TOCO000 5 272,000.00 1726059053 20140916T000000 S 270,000.00 2009000370 20150219T000000 $ 269,950.00 5437810320 201411177000000 $ 269.950.00 2473251000 20140619TOOOOOO $ 269,100.00 8731951170 20150415 TOOOOOO 269,000.00 4337000335 20141122 TOOOOOO 5 268,750.00 6700400140 20150316TDOO000 5 265,000.00 1840000030 20140529TDOOOOO 267,500.00 5466730030 20140822TDOOOOO $ 265,000.00 40510029 20140826TDOOOOO $ 265,000.00 7972000200 20140529TDOOOOO $ 264.950.00 8732020310 20140717TDOOOOO $ 260,000.00 3830530310 2014072 STOOOOOO 5 250,000.00 337710960 20140923T000000 260.000.00 SOOS00070 20141007T000000 $ 260,000.00 8075400570 20141030T000000 $ 25,000.00 1321400060 20140627T000000 5 257,500.00 7796450200 20140515TDOOOOO $ 256,883.00 84000105 20140507TDOOOOO $ 255,000.00 9407100R0O 20141124T000000 $ 255,000.00 1796 BOSSO 20150128T000000 $ 255,000.00 8091400200 20140516 TOOOOOO $ 252,700.00 240700700 20140515TDOO000 $ 252,350.00 9262800171 20150124 000000 S 252,000.00 3001059276 20150314TO00000 $ 250,000.00 3492049190 2015033OTOOOOOO 5 247,500.00 8029200135 20141113TOOOOOO $ 247,000.00 3830630050 20140929TOOOOOO $ 245,000.00 4260700055 20150501 TO00000 $ 245,000.00 1545808560 20150403TOOOOOO $ 245,000.00 2791500270 20140522T000000 $ 24,500.00 7520000520 20150313T000000 $ 240,500.00 7895500070 20150213T000000 $ 240,000.00 797700024020150202TDOO000 $ 240,000.00 3969300030 20141229T000000 5 239,900.00 8644000060 20141024T000000 5 237,000.00 646910160 20140903T000000 5 237,000.00 2976800796 20140925T000000 5 235,000.00 722059070 20150115T000000 S 235,000.00 1202000200 20141103 TOOOOOO $ 233,000.00 7520000520 20140KOSTOO0000 $ 232,000.00 2525100010 20150222T000000 $ 232,000.00 7942100310 20150127T000000 $ 232,000.00 7983200060 20150424T000000 $ 230,000.00 1926900125/201412011000000 $ 230,000.00 532 1 25 1.75 2 1.75 2.25 2.25 25 2 25 2 2.25 2.5 2.25 1 1.75 15 2 15 2 1.75 2 2.5 1.75 2.5 25 1 1 1.75 1 1.25 25 1 1 2 1 1 175 1 1 2260 1715 1690 2050 1210 1140 1070 1650 1550 2010 1960 1270 1730 1740 1530 0 0 0 0 2013 0 0 o O o 0 0 0 0 0 O O 0 0 0 SBOL 473674 -122 O3 98023 479 -122.371 SRO23 47 1025 - 122.374 98011 47.7461 -122 195 98198 4740 122.327 9022 47.1975 - 121.999 SOS 47 4556 -122.157 98023 47.30 -122.379 47 48 -122 336 S8011 47 404 122.191 9818 47 4427 122.274 95042 47.3536 122.144 98133 477535 -122-14 98023 47.2922 -122371 98023 47.3129 122.39 98030 47.3505 -122.179 9012 47.3656 -122.278 98038 47 3483 -122 052 98032 47 URZ -122.255 98003 47 3097 -122 327 47.2779 -122.347 98146 47.4877 122.335 8045 47.4437 121.772 98042 47 1663 122ON9 98030 47.3513 -122.166 98058 47 4612 -122.169 98001 47 3117 -12227 98002 47.2785 -122.213 98032 47 3575 -122.277 98022 47 2015 121.995 98030 47 3507 -122.178 98178 47.4945 -122.22 98038 47.3592 -122.046 98023 47.2897 -122 372 98146 47.4957 -122.352 98001 473341 -122252 98023 47.2929 -122.371 98175 47 4897 -122 24 98198 47.4207 122.29 98055 47.4324 -122.197 98178 47.5053 -122.255 98031 47 4075 -122.214 98002 473048 -122 215 98146 47.4957 -122 352 98035 47.362 -122.029 98042 47.3811 -122 OR 98003 471343 122 106 98155 47.7481 -1223 2 1 2 2 1 1 1 1 1 1 1 1 15 2 1 1 2 1 1 1 1 1 2 1 1 15 1 1 1 1 1 2003 1950 1995 2003 1952 1979 1985 195 1979 1969 1975 1967 1916 1987 1954 1996 1988 1922 1969 1969 1943 1960 2005 1961 1961 1941 1922 1976 1958 1969 1948 10170 8559 9543 7352 19800 7312 15681 7198 7442 11547 8500 7403 12092 8075 10248 7134 3470 2138 58 15246 4697 12092 10403 11230 9774 10228 1980 3 3 3 3 4 2 4 3 4 3 3 3 3 3 2 3 3 3 3 1240 1220 0 1984 0 0 D 0 0 0 0 1510 1000 1270 14.90 1300 1430 1210 1240 1400 1300 1250 1050 0 0 0 0 O 0 0 0 o 1954 0 0 0 Collabore In Chart Media Shape 148 2003 1985 3 3 3 3 3 3 3 3 3 LUN 1060 1450 1510 1780 1190 1670 1300 1430 1300 11 2020 1610 1180 1000 1050 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 0 0 0 O 0 O 0 0 O 0 0 0 0 0 0 O 0 0 O 0 990 View or All Cat he house data sample MULLASTERKA 3996900125 20141201 TOOOOOO $ 230,000.00 3351400435 20140721 T000000 3 230,000.00 1944290160 20141104TDOO000 $ 230,000.00 2414600176 20150415T000000 5 229,500.00 5245600105 20140916TDOOOOO $ 228.000.00 3353401710 20140923TDODO00 $ 227,950.00 100600550 20140804TO00000 $ 226,500.00 3584000310 20141208 TOO0000 $ 225,000.00 6131600075 20150427T000000 $ 225,000.00 7129300520 20141013T000000 5 221.900.00 3555000070 2014080STOOOOOO $ 220,000.00 1332700270 20140519T000000 $ 215,000.00 R960000030 20140728TDOO000 $ 215,000.00 9443100260 20141120TDOOOOO S 213,000.00 3668000070 2015010STOOO000 $ 212.000.00 8945200830 20150325TOOO000 $ 210,490.00 3542300060 201503111000000 $ 210,000.00 8150100045 20141001 TO00000 $ 210,000.00 1745100140 20141017T000000 $ 210,000.00 5104530560 20150401T000000 $ 208,633.00 1895000260 20140721T000000 $ 207,950.00 BOHO00070 20141021T0OO000 5 206,600.00 4060000240 20140623T000000 $ 205,425.00 1432900240 2015050STOC0000 $ 205,000.00 8857600960 20140819T000000 $ 205,000.00 1274500060 2014082STOO0000 $ 204,000.00 7994700030 20141023T000000 S 201,000.00 1099611730 20140912T000000 $ 199,000.00 921049315 20140813T000000 $ 199,000.00 8159610030 20140722T000000 5 196,000.00 16000397 20141205TO00000 $ 189,000.00 3530510041 20140723T000000 $ 188,500.00 1665400045 20150428T000000 $ 186,375.00 7899800890 20150226T000000 $ 181,000.00 1222000055 20141123T000000 5 180,250.00 5631500400 20150225TDOO000 $ 180,000.00 3454800060 20150108TO00000 $ 171,800.00 6874200960 20150227T000000 $ 170,000.00 1432600560 20141105T000000 $ 166,950.00 3969300030 20140723T000000 $ 165,000.00 6661200320 20140723T000000 $ 163,500.00 4168000060 20150226T000000 $ 153,000.00 8658300340 20140523T000000 $ 80,000.00 4 2 3 2 3 3 3 2 3 3 2 3 2 3 3 3 5 4 3 3 2 2 3 2 2 2 4 2 3 4 2 3 1 1 2 2 1 1 1.5 1.5 1.75 1 1 1.75 2.25 1 1 1.75 1 1 1 1 2.5 2 2 1 1 1 1 1.75 1.5 1.75 2.25 1 1.75 1 15 0.75 1 2 1 1 1 1.5 1 0.75 860 R30 1700 2040 R90 1390 BBO 1610 940 1000 1660 1160 1320 2070 1200 1240 1000 720 21 10228 11204 3413 7470 9199 8230 7370 8505 R316 5650 7840 2040 7569 10200 7875 8528 11725 5000 11390 3810 5000 13464 6780 8579 7980 12070 78108 5400 17390 11576 9850 2493 7636 5120 9600 10000 9600 5265 8820 7134 3419 10500 5050 1 1 1 1 1 15 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 0 0 0 0 0 O 0 0 0 0 O 0 0 0 0 0 0 0 0 0 0 0 1960 1955 1954 1976 1968 1954 1955 1958 1979 1967 1961 1986 1966 1943 1940 1967 2006 1917 1987 1945 1962 1960 1968 1915 1975 1955 1974 1921 1985 1952 1954 1941 1933 1950 1931 1959 1943 1996 1952 1912 SON 0 98155 47.741 -122.3 0 98001 472619 -122252 0 98031 473912 -122.167 O 98145 47 $123 - 122.337 98143 474258 -122 322 98001 47.2513 172.255 0 S3023 47.25 - 122.37 0 98003 47.3173 -122319 98002 47.3221 -122.215 0 98178 47.5112 122 352 0 98003 47.3309 -122.299 0 98056 47.518 -122 11 O 98058 47.4479 -122.176 0 98024 47.5587 -121 899 0 98092 472751 122.152 0 98023 473066 -122.371 0 98056 47.5093 - 122.184 0 98126 475308 -122.375 0 98003 47.3271 -122 323 0 98038 47.3537 -122 o 98118 475158 - 122.264 0 98030 47.3581 -122.173 0 98178 47.5009 -122.248 0 98058 47 4563 -122.171 0 98032 473838 -122.289 0 98042 47.3621 -122.11 0 98055 47.529 121.837 98023 473016 -122 378 O 98003 47.3257 -122.295 0 98001 47.3417 122.271 98002 47-3089 -122,21 0 98198 47.3813 122 322 0 98156 47.472 122.344 0 98105 47.521B -122357 O 98156 474604 -122.339 0 98028 477379 -122.233 0 98168 474955 -122.303 0 98178 47.5048 -122.272 0 98058 47.4616 -122.184 0 98178 474897 -122.24 0 98038 47.3848 -122.039 0 98023 47322 -122.351 0 98014 47.6499 -121.909 900 770 1570 350 1190 1000 1050 1200 430 Ch 21 Research Analysis Assignment - Univariate Analysis Attached Fles Research Aralysis Assignment Outine.docx At (15206 KB) a house data Soobs.xlsx (59:976 KB) Using the house dataset, which describes the housing market of Kings County in the state of Washington, use a univariate model to work through the Business Research Process using the attached outline document to construct your response. Under Sections where this methodology does not provide an appropriate response (such as 5c. state as much The King's County housing dataset could be used for a variety of research questions. You could be a buyer, seller, real estate professional tax professional, county official economist, market analyst, banker, mortgage lender, etc. Pick a topic of interest and use it to build out the research question and the succeeding questions using the Assignment Outline provided. Take some berty with your ideas and build it out knowing what the collected dataset looks like. The second half of the research process, particularly the Data Processing and Analysis portion should be constructed using the dataset provided following your declared research question and research objectives. Use some creativity but follow your research objective to the end of the assignment once it is selected. Practice using both Tableau and Excel to build out your graphstablesviralizations in order for the univariate example to work, we must select a house to compare against the population. In a separate tab in the excel file. I have constructed a sample from the population for you to use to test your hypothesis. Consider this sample as your sample of interest Using the research question and dataset provided, answer the following questions. Provide graphics and tables where appropriate. Make an effort to explain your logic and decisions. 1) Problem Discovery a. Describe the problem. b. What exploratory technique is the best fit to identify the research question? Why? c. What is the research question? d. What do you believe the results/relationship will be? e. State the Hypothesis and the Null Hypothesis 1. In English II. In Math :(x 3) 2) Planning Research Design I a. Identify and Describe the best research method(s) to collect data for the research. b. Why would this method be best? 3) Sampling a. What type of sampling would you suggest for data collection? b. Describe the sampling technique. What are the benefits and drawbacks of this sampling design? 4) Data Gathering a. Describe the data set, variables and how it was obtained. b. Identify the dependent variable. c. Provide an explanatory table/graph of the data. 1. This should be an interesting description that says something about the data or maybe why its important. Bar/line/pie or similar d. Descriptive Table 1. This should be a Descriptive table that include Mean, Median, Max, Min and Standard Deviation of the variable(s) II. Make it a standalone table Ill. But describe in in the text 5) Data Processing and Analysis a. Describe the statistical process used and why it was selected. b. Write the statistical model in equation form. c. Results Table (table) d. Is this model significant? At what level? e. Provide a table/graphic if appropriate. 6) Conclusions a. What is the conclusion of your research? (one sentence) b. How does this compare to your original belief? What bias(es) did you bring to this work? + Comment ke_house_data sample id date price bedrooms bathrooms sqft_lving sqft_lot floors waterfront yr built 11510310 20140905TS 835,000.00 4 2.75 31.30 13412 2 0 1993 46100204 201502211 $ 1,505,000.00 5 3 3300 33474 1 0 1957 600000152 20140502 404,000.00 3 1.5 2030 8880 1 0 1963 723099065 20150130T S 465,000.00 3 1840 40438 2 0 1994 1324300398 2015040915 560,000.00 3 1 1110 5000 1.5 0 1947 1525059190 201409127 S 1,040,000.00 5 3.25 4770 50094 1 0 1973 1695900060 201505111 $ 535,000.00 4 1 1610 2982 15 0 1925 1762500070 20150116T S 917,500.00 4 25 3880 35003 2 0 1984 1794500383 20140526T S 927,000.00 3 1.75 2450 2691 2 0 1915 1923000030 20140728T S 1,118,000.00 4 25 3840 15619 2 0 1983 1952200240 201406111 S 850,810.00 3 25 2070 13241 1.5 1910 1959700550 2014090STS 740,000.00 4 2 2050 4400 1.5 0 1922 2078500320 201406201 $ 605,000.00 4 25 2620 7553 2 2268400350 2014091615 1996 749,000.00 4 25 1710 2287000060 20140912T $ 9527 1 0 1976 799,000.00 3 2.5 2140 9897 1 0 1959 2450000295 20141007 1,088,000.00 3 25 2920 8111 2 0 1950 2597650240 20141023TS 520,000.00 3 2.35 2010 16200 2 O 1984 3127200041 20140613TS 589,000.00 4 3 2440 9600 2 0 1961 3224079105 201403STS 430,000.00 2 2.5 2420 50984 2 0 2007 4232901525 20140627 $ 665,000.00 2 1 1110 3200 1 0 1925 5101404898 201405193 592,500.00 2 2 1420 9191 15 0 1928 5423010350 20150210T $ 1,280,000.00 5 25 3400 9500 2 0 1977 5611500140 20140822TS 686,000.00 4 25 2750 5440 2 0 1999 6073240060 20141002TS 50,000.00 4 3 3280 11060 2 o 1986 6189200125 20150325TS 849,950.00 3 3 2990 9773 2 0 1973 6388930390 20141120T S 650,000.00 S 3.5 3960 25245 2 O 1996 6619910140 2015022415 630,000.00 4 1.75 2950 9025 1 0 1975 7766200013 20140R11TS 775,000.00 4 2.25 4220 24186 1 0 1984 7771300125 20150408T $ 487,000.00 3 2 2590 14052 1 0 1948 8123100045 20150414T 5 470,000.00 4 3 2380 5125 15 0 1925 8820901275 20140510TS 571,000.00 4 2 2750 7807 1.5 1915 9270200160 20141028T S 685,000.00 3 1 1570 2280 2 0 1922 9385200055 20140912T S 650,000.00 3 3.25 1510 2000 2 2001 9423400140 20140609T $ 450,000.00 3 1.75 1640 13500 1 1940 9528102996 20141207T $ 549,000.00 3 1.75 1540 1044 3 0 2014 yr renovatipcode lat long 98052 47.6993 -122.102 1991 98040 47 5673 -12221 98108 47.5586 -122 311 0 98045 474853 -171.709 0 98107 47.655 -122.359 0 98005 47.6525 -122.16 0 98144 47587 122 294 0 98033 47.5477 -122.182 0 98119 47.5386 -122 36 0 98040 47.5544 -122.213 0 98102 47.6415 -122 315 0 98102 47544 -122.319 0 98056 47 5301 -122.18 2014 98006 47559 - 122.164 0 98040 475505 122.219 2010 98004 47.5814 -122.195 0 9R027 47 5162 122.057 0 98014 47.7044 -1222 0 47.5262 121.343 98119 47.633 12235 O 98115 47.5979 -122.32 O 98027 475645 -122.087 98075 47.5836 122026 0 98056 47.5399 -122181 98005 47.6144 -122.174 0 98056 47.525 122.172 0 98034 47.7128 122.223 98166 47.445 122 347 0 98133 47 7357 -122.333 0 98126 47.5384 122.376 0 98125 47.7168 -122287 98119 47.6413 -122 364 98116 47.5815 -122.402 0 98125 47.7164 -122 304 0 98115 47.6765 - 12232 9022 OO God 2753 Vw 1 ke house data sample lat long Yr_renovatizipcode floors waterfront wr_built id bedrooms bathrooms selling sqft_lat date price 47.6053 -122077 98074 1 2002 1 18641 5 4550 4 $ 3,075,000.00 3225069065 20140624TO00000 98004 0 -122.223 47.6312 1982 2008 4 20100 15 3.25 SOS $ 2,900,000.00 7960900050 20150504 TOOOOOO 122.072 47.6338 98074 0 1 2000 3650 1 8354 4 25 $ 2,400,000.00 2025069065 20140929TDOOOOO O -122 367 98119 0 47.5145 1921 2 5 3650 9050 25 1850600135 20140502T000000 $ 2,384.000.00 47.562 98005 0 2006 -122.152 5180 2 19850 4 3.25 7855801670 201504017000000 $2,250,000.00 - 122.287 O 98122 1994 47 5156 2 5 BARO 1905 3 3810 $ 2,050,000.00 7424700045 20150513T000000 -122.233 0 47.5316 0 98040 1968 3050 1 2.75 44867 2524049179 20140826TDOOOOO $ 2,000,000.00 O 98024 2 47.5954 -121.95 1999 5 867R500060 20140710T000000 4.25 $ 1,550,000.00 171526 5070 -122.21 47.5673 0 1991 1 1957 98040 5 3300 3 33474 46100204 20160221 TOOOOOO $ 1,505,000.00 1992 -122.212 1914 17789 98004 47,5141 1.5 2750 2.75 4389200955 20150302T000000 4 $ 1.450,000.00 98014 1999 0 3970 24920 1977 3 4055700030 201505OZTOOOOOO 47.7183 -122.258 45 $ 1,450,000.00 2 -122 102 0 0 4290 4139480200 20141209T000000 3.25 12103 $ 1,400,000.00 47 5503 98006 1 4 1997 0 0 181319 98074 2.5 4 4850 $ 1,385,000.00 2625069070 20150410T000000 47.6179 1993 -122.005 3.25 4 4139480200 201405181000000 0 0 17103 $ 1,314,000.00 3.25 1 4290 -122.102 1997 47.5503 98005 4.75 $ 1,365,000.00 5310 57346 4054500190/20141007T000000 0 2 0 4 98077 1989 -122.042 47.7285 S 1,350,000.00 3 822039084 20150311T000000 2.5 65005 1 1 1953 0 98070 47.4041 122.451 713500030 20140728T000000 $ 1,350,000.00 5 3.5 4.800 14984 2 0 1998 98006 47.5543 -122.148 1802000060 20140612TO00000 $ 1,325,000.00 5 2.25 3200 20158 1 0 1965 0 98004 476303 -122 215 9808550060 20150225T000000 $ 1,300,000.00 3 2 2350 15021 1 0 1976 0 98004 47.5408 -122.219 5423010350 20150210T000000 $ 1,280,000.00 5 25 3400 9500 2 0 1977 0 98027 47.5645 -122.082 7237550310 201405121000000 $ 1,225,000.00 4 4.5 5420 101930 1 0 2001 0 98053 47.5551 - 122.005 8820902200 20141113TOCO000 $ 1,199,000.00 4 2.75 4110 8400 2 0 1928 2013 98125 47.717 -122 281 8651610890 20141014TO00000 $ 1,150,000.00 4 3.25 4190 10259 2 0 2000 0 98074 47.6332 -122.066 1923000030 20140726T000000 5 1.118,000.00 4 2.5 3840 16619 2 0 1983 0 98040 475634 -122 213 5036300431 20150311T0OO000 $ 1,099,880.00 5 2.75 3520 6353 2 0 2001 0 98199 47.6506 -122.391 825059270 20141121 T000000 $ 1.095,000.00 5 3 4090 12850 1 0 1986 0 98033 47.6627 -122.18 2450000295 20141007T000000 $ 10,000.00 3 2.5 2920 8113 2 0 1950 2010 98004 475814 -122 196 1250202145 20140RZATOO0000 $ 1,072,000.00 2 2.25 3900 14864 1 0 1947 47 5884 -122.291 9286000240/20140711T000000 $ 1,067,000.00 5 3.5 4860 11793 2 0 1998 0 98006 47 5521 -122.137 6154500070 20140526T000000 $ 1,050,000.00 4 35 3450 7832 2 0 2007 0 98006 47.5637 -122 123 1575059190 20140912T000000 $ 1,040,000.00 5 3.25 4770 50094 1 0 1973 0 98005 2024069128 20141110T000000 47.6525 $ 1.030,000.00 -122.16 3 25 3545 9816 1 0 2005 O 1762600320 20140610T000000 98027 47 5534 -122.078 $ 1,025,000.00 5 4 3760 28040 2 0 1983 0 98033 3454000060 20140722T000000 $ 1,000,000.00 47.5489 - 122.183 6 25 2610 3277 1.5 0 0 98103 2944010240 20140308T000000 $ 47.5636 -12233 988,000.00 4 3 4040 19700 2 0 1987 D 3394100030 20140909T000000 98052 S 975,000.00 -122.127 4 25 47.7205 2720 11049 2 0 1989 0 7922800400 20140827T000000 $ 98004 47.5815 951,000.00 5 3.25 -122 192 3250 14342 2 D 1968 0 624111000 20140805T000000 5 98005 950,000.00 47.588 3 3 4040 14338 -122.116 2 0 4232902595 20141114T000000 1986 5 0 98077 3 940,000.00 1.5 2140 3600 477268 -122.06 2 0 191100045 20140703T000000 1925 5 D 98119 940,000.00 4 2 2490 47.6337 9525 -122.365 1794500383 20140626T000000 2 0 1968 0 $ 937,000.00 3 1.75 2450 2691 98040 47 5639 -122 217 2 1653500070 20140512 T000000 0 1915 $ 0 98119 927,000.00 4 2.75 47.6386 3300 12090 -122 35 2 1526069017 20141203T000000 0 1953 5 921,500.00 4 0 2.5 3670 98004 47.6294 315374 -122.218 4217401195 20150303T000000 2 0 $ 1994 920,000.00 0 5 2.25 2730 98077 6000 47 7421 15 1762600070 20150116TOCO000 -122.026 0 5 917 500.00 1927 o 4 3880 35003 98105 47.6571 - 122.281 1483300570 20140908T000000 $ 2 0 1984 905,000.00 4 2.5 0 3300 98033 47.5477 10250 2215201602015030ATOOOOOO -122 182 1 0 1946 900,000.00 3 1991 2.5 1400 16603 98040 475873 -122.249 2 2000 0 TS 47.601 98144 1922 . 3 Colabor Table Insert Chart Text Shape Media Comment 77972 4000 5000 5750 22111 OOOOOOOO 6151 1330 2550 2830 2800 3360 3840 3595 3390 2270 2070 2990 3130 2480 2840 3130 2370 3430 2320 1954 0 0 2002 a 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2.5 3.5 2.5 4.25 2.75 2.75 2.75 2.5 3 25 1.75 3.5 2.75 25 4 35 2.75 1.75 25 25 35 25 3 4 4 4 4 3 5 4 4 3 3 3 4 4 4 4 4 5 5 3 4 4 3 3 4 5 4 3 4 4 3 3 4 4 3 4 0 0 0 0 0 0 0 O 3150 0 . 176% View Zoom Add Category ke_house_data sample 325059171 20140SOSTOO0000 $ 900,000.00 809001525 20140525T000000 $ 890,000.00 9822700295 20140512T000000 $ 885,000.00 3179100060 20140916TDOOOOO $ 880,000.00 9510920070 20140710T000000 S 879,000.00 8651611170 20150213TDOOOOO $ 858,700.00 7203220400 20140707T000000 $ 861.990.00 1853DNOS 70 20140811T000000 $ 859,900.00 2757000030 20140922T000000 $ B55,000.00 1952200240 20140611000000 $ 850 R30.00 6189200125 20150325T000000 $ 849,950.00 11500890 20150312T000000 $ 843,000.00 3456000310 20140804TO00000 $ 840,000.00 1560930070 20140911T000000 $ 840,000.00 11510310 20140905TOO0000 $ 835,000.00 3416600800 20150209T000000 $ 834,000.00 3276920270 20141105T000000 $ 832,500.00 2331300505 20140613T000000 $ 822,500.00 325059286 20140513T000000 $ 819,900.00 2287000030 20141014TO00000 S 811,000.00 1118500030 20141001T000000 $ 810,000.00 1836980160 20150324T000000 $ 807,100.00 326069104 20140701 TOO0000 $ 800,000.00 2287000060 20140912T000000 $ 799,000.00 8651600160 20141111T000000 5 799,000.00 7855801090 20140917T000000 $ 795,000.00 2877103726 20140722T000000 $ 791,500.00 9542850220 2014072S TO00000 $ 790,000.00 4170300310 20140716T000000 5 785,000.00 424069250 20150421000000 $ 785,000.00 1243100136 20140612T000000 $ 784,000.00 8722101360 20141202T000000 $ 780,000.00 7202360350 20140630T000000 $ 780,000.00 7766200013 20140811T000000 $ 775,000.00 3275860240 20140618T000000 $ 770,000.00 1126049053 20141113T000000 5 770,000.00 2268400350 20140916T000000 $ 749,000.00 3626039125 20141121T000000 $ 740,500.00 1959700550 20140OSTO00000 5 740,000.00 98020310 20140520T000000 $ 710,000.00 5016001535 20150217T000000 $ 725,000.00 4412600075 20150128T000000 5 725,000.00 7504101040 20140321 T000000 $ 722,500.00 1531000030 20150123T000000 $ 720,000.00 1873100390 20150302T000000 $ 719,000.00 2172019094 20141126T000000 705,000.00 6021501535 20141223T000000 $ 700,000.00 2214220075 201412121000000 O 0 0 0 0 0 1 2 2 2 2 2 2 2 2 1.5 2 2 1 1 2 1.5 2 2 2 1 2 2 2 1 2 1 1.5 1 2 1 15 1.5 2 1 2 2 1 2 15 2 1 2 2 2 2 2 1 1870 3520 2580 3830 2140 2510 3040 1510 2370 2290 2440 3950 1660 3500 4220 2910 3820 1710 4380 2050 3230 1928 1905 1995 1951 1994 2000 2014 2011 1965 1910 1973 1991 1966 1986 1993 1928 1986 1926 2013 1950 1991 1999 1993 1959 1969 1966 1911 1977 1981 1989 1989 1911 2005 1984 1990 2014 1976 1900 1922 2004 1913 1925 1983 2002 2005 1980 1919 1983 5639 5298 10460 13241 9773 8750 11010 40119 13412 4000 35102 4960 7119 9897 15420 4499 22.1284 9897 11585 9570 3500 10289 13416 69415 111078 4400 7018 24186 10204 26300 9627 6350 4400 7331 3300 4140 11800 1968) 7173 20978 5000 107593 2.25 98033 47.6891 98109 47.5354 98105 47.6597 98105 47.569 98075 47.5951 98074 47 6335 98053 47.6848 98074 47.5906 98040 475503 98102 47.6415 98005 47,5344 98052 47 6954 98040 47 5378 98038 47.401 98052 47.6993 98144 47.601 98075 47.5822 98103 47.6763 98052 47.5759 98040 47.5505 98074 47.6375 98005 47 565 98077 47.7641 98040 47.5505 98040 475483 98006 47.5651 98103 47.5794 98005 47.592 98007 47 6194 98075 475944 98052 47.597 98112 47.6362 98053 47.6811 98166 47 445 98052 47.6897 98028 47.7618 98006 47.559 98117 47 6981 98102 47.644 98075 47.5823 98112 47.6219 98116 47.5836 98074 47,633 08010 47 342 98052 47.7073 98070 473844 98117 47.687 98072 42.2731 -122 159 -122.353 -122.29 -122.275 -122