These sample scenarios showcase the use of Python and Jupyter Notebook to conduct analysis on particular datasets in order to draw conclusions and determine specific outcomes.
For this challenge, TunaFirst company is developing Tuna 2.0, a world-changing snack food based on canned tuna fish. The company recently decided to purchase a new HR system, and unfortunately, the new system requires employee records be stored completely differently. The primary task is to help bridge the gap by creating a Python script able to convert employee records to the required format by doing the following:
- The Name column should be split into separate First Name and Last Name columns.
- The DOB data should be re-written into DD/MM/YYYY format.
- The SSN data should be re-written such that the first five numbers are hidden from view.
- The State data should be re-written as simple two-letter abbreviations.
In this challenge, the task is to help a small, rural town modernize its vote-counting process. This python script analyzes the votes and calculates each of the following:
- The total number of votes cast
- A complete list of candidates who received votes
- The percentage of votes each candidate won
- The total number of votes each candidate won
- The winner of the election based on popular vote.