Globalization Project In this case assignment
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The SK-II Globalization Project In this case assignment, you need to answer the following questions: 1. As Paolo DeCesare, what factors do you need to consider before deciding what to recommend in your SK-II presentation to the global leadership team (GLT)? 2. Does SK-II have the potential to become a global brand within Procter & Gamble’s worldwide operations? 3. Which of the three market options should Paolo DeCesare recommend to the GLT?
How to submit: Turnitin Submission Deadline: June 10, 2020 Words: Max 1.000
Conclusion
JIM will get the break that has a quick tax options they have many reason for the annuity and offering the benefit with the commitment which made with the interest for the representative. The representatives who are not exhausted with the commitment of worker or the commitment that is executed the commitment for the winning with the arrangements related to the interest and profit that provide trust when withdrawn the fund with the arrangement of the retirement for the employee. The trust will put the all resources that has been qualified the arrangements that based on the assessment that is free from representative who worked from many years in the organisation.
For each combination of wind direction and 20% humidity range, what is the average 9am temperature recorded over the months of June to November of 2017? Use the provided climate_data_2017.csv file and write an aggregation algorithm which answers this question.
The file contains measurements from multiple weather stations for the 2017 months of June to November (inclusive). Your program should read from the following fields (counting from zero):
• Direction of maximum wind gust —field 9 • 9am Temperature (C) —field 11 • 9am relative humidity (%) — field 12
Use a dictionary whose keys are tuples containing: (i) wind direction, and (ii) humidity bin. The humidity bins should be represented as numbers: e.g. bin 0.0 represents humidity levels from 0 up to 20%, bin 1.0 for humidity between 20 and 40%, and so on.
After the aggregation, print out the dictionary items sorted by their keys. Round the average temperatures to one decimal point. The
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