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What are the values that the variable num contains through t…

What are the values that the variable num contains through the iterations of the following for loop? for num in range(4):

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What are the values that the variable num contains through t…

What are the values that the variable num contains through the iterations of the following for loop? for num in range(2, 9, 2):

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What will be displayed after the following code is executed?…

What will be displayed after the following code is executed? total = 0 for count in range(1,4): total += count print(total)

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What will be displayed after the following code is executed?…

What will be displayed after the following code is executed? count = 4 while count < 12: print("counting") count = count + 2

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Which of the following is not associated with a vehicle leas…

Which of the following is not associated with a vehicle lease?

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The ‘borrowing’ component in a financial plan relates to:

The ‘borrowing’ component in a financial plan relates to:

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Who is responsible for a loan repayhe sT

Who is responsible for a loan repayhe sT

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Which of the following items should be shredded to protect y…

Which of the following items should be shredded to protect yourself from identity theft?

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Paste the related code in the response window, also screensh…

Paste the related code in the response window, also screenshot your plots and result figures and attached these image files by ‘Add file’. Primary Diagnosis vs Reason-for-Visit Consistency Compare the top 10 categories by diagnosis vs top 10 by reason-for-visit for all visits across all years. Visualization: bar comparison facet by diagnosis and reason-for-visit, sort from the largets to smallest visit count. Grading Rules: 0.5: Extracts top 10 categories for both diagnosis and reason 0.5: comparative plot with correct labels, axes, legends and scale.

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Paste the related code in the response window, also screensh…

Paste the related code in the response window, also screenshot your plots and result figures and attached these image files by ‘Add file’. This is the last question, please also attached your .ipynb file to the response window. Diagnostic Shifts During COVID-19 (2020–2022) Detect whether pandemic years altered visit patterns in both count and rate. Compare pre-2020 vs 2020–2022 by diagnosis (not reasons) and age group. Visualization: before/after comparative plots (e.g., side-by-side faceted bars). Grading Rules: 1: Splits data into pre-2020 vs 2020–2022 and identifies diagnoses with changes in age group 1: before/after faceted plots

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