Homework 4

library(tidyverse)

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Pavements is data from the City of San Antonio public data https://opendata-cosagis.opendata.arcgis.com/

pavements<-read.csv("pavements_3192083553624189959.csv")

1. summary(data$x)

summary(pavements$PCI)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    0.00   76.60   87.00   78.86   87.00   99.99

summary(pavements$Shape__Length)

##      Min.   1st Qu.    Median      Mean   3rd Qu.      Max. 
##     1.701   265.014   373.017   577.332   692.186 20648.482

2. hist(data$x) - for continuous variables

hist(pavements$PCI)

3. plot(data\(x,data\)y) - to compare variables

(ggplot is fine if you are comfortable with it)

ggplot(pavements,aes(x=PCI,y=Shape__Length)) + geom_point() 

I feel like i should clean up my data to allow for a range (0-10, 11-20, 21-30, etc.) and use box plots to represent the data.

4. cor(data\(x,data\)y) - to see a correlation between two variables

cor(pavements$PCI,pavements$Shape__Length)

## [1] 0.05382792

PCI and Street Length are only 5% correlated.

I feel a better correlation would be between the road function or maintenance responsibility and the PCI. I would need to change the character into numerical. Could this be done in R?