<s>[INST] In this problem, we will analyze the data for the prices of different rooms at a hotel.
A club room costs 130.00
A rooftop suite costs 250.00
A honeymoon suite costs 300.00
A normal room costs 85.00

We have a list of all the people who reserved rooms. 

Robert reserved a honeymoon suite
Paul reserved a rooftop suite
Sophia reserved two normal rooms.
We have a list of names and rooms, but we don't have the names of all the people. The list is:
HoneyMoonSuite,Alice,300
RooftopSuite,Bob,250
ClubRoom,Carol,130
NormalRoom,,,85
NormalRoom,David,85
NormalRoom,Mike,,85
NormalRoom,Jane,85

From this list, we can see that Robert is missing from the list and Paul is missing from the list.
Also, Mike is missing his number for the room he reserved, and there is a missing name for the room type NormalRoom with no name and also only the roomtype and price, but no name or number on the other normal room.
To make things more complicated, we have a list of people we know who have reserved a room, but whose reservation was not processed because a credit card error. This list is:

Kathy	ClubRoom	137 (the price we have for a clubRoom is 130, so the price Kathy paid is incorrect and therefore there was a credit card error)
Tim	RooftopSuite	252 (the price we have for a rooftop suite is 250, so the price Tim paid is incorrect and therefore there was a credit card error)

Since our data is incomplete, we will just take a subset of our data, by analyzing only the data of people we know have paid the correct price for their room.
From this analysis, we can count how many people have what type of room. We can only analyze the data of people who we know did not have a credit card error.
Here is a list of the names and rooms of people who have paid the correct price:
ClubRoom,Carol,130
RooftopSuite,Bob,250
NormalRoom,David,85
NormalRoom,Jane,85
NormalRoom,Sophia,85
NormalRoom,Sophia,85

We will analyze the given data:
We can see that there are 1 people with a ClubRoom.
There are 1 people with a RooftopSuite.
There are 4 people with a NormalRoom.

This is the data we observed from analyzing the list of people who did not have a credit card error.
We will also compute the frequency of different rooms that the people have reserved. We can calculate the frequency by taking the number of people with the room type, and dividing it by the total number of people (which is 7).

Here are the unsorted frequencies:
ClubRoom 14.2857%
RooftopSuite 14.2857%
HoneyMoonSuite 0%
NormalRoom 57.1429%

The frequencies are unsorted. Can we sort them?[/INST]