R语言房价分析

data=read.table("data.txt",header=T)

head(data)

case Taxes Beds Baths New Price Size

1 1 3104 4

2 0 279900 2048

2 2 117

3 2 1 0 146500 912

3 3 3076

4 2 0 237700 1654

4 4 1608 3 2 0 200000 2068

5 5 1454 3 3 0 159900 1477

6 6 299

7 3 2 1 499900 3153

A. Please open the dataset, omit any missing values, and name it mydat a.

mydata=na.omit(data)

B

plot(mydata[,-1])

从上面的图中我们可以发现尺寸和税收可能会影响房价

C. Using -ggplot- suite

colnames(mydata)

[1] "case""Taxes""Beds""Baths""New""Price""Size" library(ggplot2)

ggplot(mydata, aes(x = Size, y = Price)) +

geom_point(aes( )) +

geom_smooth()

ggplot(mydata, aes(x = Taxes, y = Price)) +

geom_point(aes( )) +

geom_smooth()

D. Do your visualizations show a positive, negative,

or no relationship?

从图形中我们可以发现税收和面积对房价有正向的关系

E. Is there evidence that you may need to transform any of your variab les? Why? Motivate

your answer by showing any relevant statistics or graphs

ggplot(mydata, aes(x =(Size) , y =log(Price))) +

geom_point(aes( )) +

geom_smooth()