Writing a Sorting Algorithm Total points 4 1. Question 1 Assignment overview This assignment is an opportunity for you to develop an algorithm of your own and have someone else execute it to give you feedback on its correctness and specificity. Yo

[Ahmed Ehab 2022]

Writing a Sorting Algorithm
Total points 4
1.
Question 1
Assignment overview
This assignment is an opportunity for you to develop an
algorithm of your own and have someone else execute it to give you
feedback on its correctness and specificity.

You will write an
algorithm that sorts temperature data from least to greatest. To do
this, you will work through the first four of the Seven Steps.

Introduction to the data
NOAA's National Centers for Environmental Information collects global
climate data and aggregates this data to provide information on climate
trends and variability. One product they offer is a monthly regional
analysis. The following table gives "anomaly" data by continent for
January 2017. "Anomaly" means the value is the temperature difference
from the average temperature from years 1910–2000.

Continent

Anomaly (C)

North America

3.18

South America

1.36

Europe

-0.12

Africa

0.53

Asia

1.92

Oceania

0.98

Source: https://www.ncdc.noaa.gov/sotc/global-regions/201701

Assignment task
Your task is to develop an algorithm that would sort data such as these
from least to greatest. Specifically, given an unsorted set of N decimal
values, your algorithm should sort them to give an answer of the sorted
data. For this set of N = 6, your algorithm should produce:

-0.12

0.53

0.98

1.36

1.92

3.18

Step 1: Work an example by hand

Take the list
of values, and sort them by hand. Sort them the way that comes most
naturally to you. Do not research sorting algorithms or try to figure
out the most efficient method—that is not the point of this assignment.

Step 2: Write down exactly what you did

Think
carefully about how you performed the sort by hand. What values did you
compare? In what order? How did you know when you were done? Write down
these steps exactly.

Step 3: Generalize

Look for patterns in the steps you wrote down for Step 2. If you
repeated sets of steps, how could you count repetitions? If you swapped
certain values under certain conditions, what were they? Are there
variables you need to name in order to reuse? Write down your
step-by-step generalized algorithm.

Step 4: Test your algorithm

Execute
your algorithm for a different set of data, such as a subset of the
given data, data you make up, or another month's climate data, such as
February 2017: https://www.ncdc.noaa.gov/sotc/global-regions/201702

Does your algorithm work for any N? Have you thought of

[Dave Kreskowiak]

So, did you have a question or a problem with your code?

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Dave Kreskowiak