##### Statistical Analysis with R For Dummies You can create a histogram from the `Cars93` data frame, which resides in the MASS package. This data frame holds data on 27 variables for 93 car models that were available in 1993. The figure shows part of the data frame in the Data Editor window that opens after you type

```> edit(Cars93) ``` To create a histogram of the distribution of prices in that data frame, you'd enter:

```hist(Cars93\$Price) ``` which produces the following figure.

How do you spruce it up? By adding arguments.

One often-used argument in base R graphics changes the label of the x-axis from R's default into something more meaningful. It's called `xlab`. For the x-axis, add

`xlab= "Price (x \$1,000)"`

to the arguments. You can use `ylab` to change the y-axis label as well.

You want to extend the x-axis from a lower limit of 0 to an upper limit of 70, and that's the province of the argument `xlim`. Because this argument works with a vector, add

`xlim = c(0,70)`

For a different title, use ```main: ``` ```main = "Prices of 93 Models of 1993 Cars" ``` To produce the final histogram shown, the whole megillah is `hist(Cars93\$Price, xlab="Price (x \$1,000)", xlim = c(0,70), main = "Prices of 93 Models of 1993 Cars`")

When creating a histogram, R figures out the best number of columns for a nice-looking appearance. Here, R decided that 12 is a pretty good number. You can vary the number of columns by adding an argument called `breaks `and setting its value. R doesn't always give you the value you set. Instead, it provides something close to that value and tries to maintain a nice-looking appearance. Add this argument, set its value (`breaks =4`, for example).