2-EDA-to-DM

# Next we study the connections between families plots

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Unformatted text preview: %&)\$)2(T4"#(<*+(T"0#(#4\$( %\$"9\$%(#*(B0*T(=<('**B&0J("#(#4\$(#"='\$[8J+%\$@ `*0J(&)(=\$##\$%(#4"0(=%&\$F@ 27 which could indicate diﬀerent types of houses/properties being sold. The relationship is a little more straight-forward for houses greater than 5,000 square feet, though, as there is a clear positive association. Distribution of Sale Price Distribution of Lot Area (Outliers Surpressed) Sale Price by Lot Area (outliers surpressed) 350 \$600,000 400 300 250 \$400,000 150 Sale Price Count Count 300 200 200 100 \$200,000 100 50 0 0 \$0 \$200,000 \$400,000 \$600,000 0 10000 20000 30000 40000 50000 60000 70000 Sale Value 0 10000 20000 30000 40000 50000 60000 70000 Lot Area (SF) Lot Area (SF) Figure 1: Univariate and bivariate distributions of Sale Price (\$) and Lot Area (SF). Note: Two houses have more than 75,000 square feet lot area, and are surpressed in these images. Sale Price by Cluster (Ward's) Lot Area by Cluster (Ward's) 20000 ● ● 6e+05 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Neighborhood Analysis SalePrice ● 2000 ● ● ● ● ● ● ● ● ● 1980 ● ● ● 1960 Lot.Area 4e+05 ● ● ● ● ● 15000 ● Year Built by Cluster (Ward's) ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Year.Built 5e+05 ● ● ● ● ● ● ● ● ● ● ● ● ● ● 10000 One of the questions we are interested in answering relates to the diﬀ1940 erences between neighborhoods, 3e+05 as they are deﬁned by the Ames City Assessor’s Oﬃce. Since there are 1920 neighborhoods in Ames, this 33 2e+05 5000 is not necessarily an easy or straight-forward task. First of all, Figure 1900 gives us an idea of the spatial 2 1e+05 distribution of the neighborhoods around Ames, along with the spatial distribution of sale price. We can 1880 0 see that some neighborhoods have many more1 houses than 4others, and that house values are not evenly...
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## This note was uploaded on 02/06/2014 for the course STAT 503 taught by Professor Staff during the Fall '08 term at Iowa State.

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