- In this task, a Python script was created for analyzing the financial records of the company. A set of financial data called budget_data.csv was given. The dataset is composed of two columns: Date and Profit/Losses.
- A Python script was created that analyzed the records to calculate each of the following:
- The total number of months included in the dataset
- The net total amount of "Profit/Losses" over the entire period
- The average of the changes in "Profit/Losses" over the entire period
- The greatest increase in profits (date and amount) over the entire period
- The greatest decrease in losses (date and amount) over the entire period
- Result:
- In this task, a small, rural town that was modernizing asked for help with its vote counting process.
- A set of poll data called election_data.csv was given. The dataset is composed of three columns: Voter ID, County, and Candidate. A Python script was created that analyzed 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.
- Result:
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