Upload your do file and log file to Canvas by $11$:$59$pm on January $30$th$.$

$1.$ load auto.dta, an example dataset installed with Stata

$2.$ use a log file $"$PS$1.$log$"$ to record all commands and related outputs

$3.$ list variables that have the storage type of int

$4.$ rename vairable "weight" to $"$lbs$",$ rename variable "foreign" to "origin"

$5.$ change the display format of "gear$\_$ratio" such that only one decimal place is displayed

$6.$ create a variable "brand" containing the brand name part of "make" $($i$.$e$.,$ characters before the $1$st space in "make"$)$

$7.$ assign value label to variable "rep$78"$ in the following way:

label name: repair$\_$status

item: $1<->$ "Poor"

$2<->$ "Fair"

$3<->$ "Average"

$4<->$ "Good"

$5<->$ "Excellent"

$8.$ add a new observation with the following values for four variables

make: "Toyota Rav$4",$ mpg: $30,$ price: $9000,$ lbs: $3370,$ origin: $1$

$9.$ rearrange observations in alphabetical order based on the characters of "make"

$10.$ relocate the variables "make" and "price" to the beginning of the dataset

$11.$ shift the variable $"$lbs$"$ after $"$mpg$"$

$12.$ create a binary varaible "above$10$k$"$ which takes a value of one if the car price is greater than $10,000$

$13.$ rearrange observations in descending order based on the value of "price"

$14.$ create a variable "diff$\_$price" containing the difference between the average price of foreign cars and the average price of domestic cars

$15.$ display the number of observations with the value of $"$mpg$"$ being greater than $3$