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I completed assignment 2 based on the requirements#2

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miyohtnk wants to merge 3 commits intomainfrom
assignment-2
Open

I completed assignment 2 based on the requirements#2
miyohtnk wants to merge 3 commits intomainfrom
assignment-2

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@miyohtnk
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

I added code as per the assignment 2 requirements.

What did you learn from the changes you have made?

I learned how to make more efficient functions and to use functions within functions.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Not applicable.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

I was not sure how I would make sure that the functions were correct, so I ended up breaking it down into its components and running each line to see what it would do. I did this on a separate file, where I had access to the inflammation_n.csv files. Once I was able to make it work, I transferred it to the original assignment 2 file.

How were these changes tested?

In #3, I tried out a number of combinations to see when I would get a False or True result. In #2, I tried all three summary statistics to make sure that they worked.

A reference to a related issue in your repository (if applicable)

Not applicable.

Checklist

  • [ x] I can confirm that my changes are working as intended

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Pass

Code Execution

All code cells execute without errors (other than the additional intended ones).

Code Quality

Code is well-organized, concise, and includes necessary comments for clarity.

Data Handling

Data files are correctly handled and processed.

Adherence to Instructions

Follows all instructions and requirements as per the assignment.

Specific Criteria

  1. Reading in our files
    Correctly prints out information from the first file.
  2. Summarizing our data
    Correctly defines patient_summary() function. Function processes data as per operation and outputs correctly shaped data (60 entries).
  3. Checking for Errors
    Correctly defines detect_problems() function. Function uses patient_summary() and check_zeros() to identify mean inflammation of 0 accurately.

Overall Assessment

Meets all the general and specific criteria, indicating a strong understanding of the assignment objectives.

" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
" variable_inflammation= f.readlines()\n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" for i in range(len(variable_inflammation)): #len() is the number of items, and in the case of inflammation_01.csv, there are 60 items- this way we don't have to know what is the exact range\n",
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Great use of len(). We could also just do:

for i in variable_inflammation:
   print(i)

This will make the code cleaner.

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