AdvancedFinancePYTHON+20 XP

Reusable Feature Preparation: Adjustment 2

Scenario

You are a data professional working with finance data. Prepare a reliable reusable result from payments for a review.

Question

Keep values at or above 448, add 2 to each, and print the adjusted list. Put your calculation in a function named analyse and call it with the provided values.

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📓 DataPro notebookextension-data-analytics-finance-advanced-data-analytics__finance__Advanced-11.ipynbFileEditViewRunKernel: Python 3
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Reusable Feature Preparation: Adjustment 2

Keep values at or above 448, add 2 to each, and print the adjusted list. Put your calculation in a function named analyse and call it with the provided values.

In [1]:

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Dataset & schema

payments

The tiny starter data. Bigger data scrolls.

Fields

payment_idregionamount
P1North500
P2South200
P3North900
P4East300

Finance practice data only.

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Your next steps

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5 left
  • Keeps qualifying values
  • Calculates the requested result
  • Prints the result
  • Defines a reusable function
  • Runs the function