To receive credit for this assignment the following criteria must be met.

You must submit your complete program summary as a pdf in
1. It must contain the entire code, log, and results
2. It must not contain any unnecessary output in the
You must submit your complete SAS code as a .SAS
The assignment must be turned in on or before the due

Templates and output data sets for comparison are located at: /courses/df6689e5ba27fe300/IntroSAS/MISC/HW5/

Part I: Modify hwdata.shell to match the other files.

This part should contain one DATA
Create two numeric variables current and capacity using input() and scan() to pull the information from the amount variable.
Remove the variable amount from the output data
Name the modified data set‘shell_mod’.

Part II: Concatenate hwdata.nat, shell_mod, and hwdata.ogg in that order.

This part should contain one DATA
Create a new variable prop, which is current /
Create a new numeric variable time from the variable pulled using timepart(), apply the timeampm
Create a new variable timegrp fromtime:
- 00:00 up to and including 10:00:Dawn
- Greater than 10:00 up to and including 15:00:Midday
- Greater than 15:00 and including 24:00:Evening
Only keep location, timegrp, time, and prop in the new data set. Order is not
Use data set options to make sure all sets have matching variable

This part should contain one procedure step.
All output from this procedure to the results tab should be
The output set should be named mymeans and contain only the variables location, timegrp, n, average, and stdev. Order is not
Use the data set options rename and drop to rename _freq_ to n and drop _type_ from the final