Create a Python script to analyze the financial records of a company that will be provided as data set called [budget_data.csv]. The dataset is composed of two columns: Date and Profit/Losses.
The Python script will analyze the financial records to calculate each of the following:
- The total number of months included in the dataset
- The total net amount of "Profit/Losses" over the entire period
- The average change in "Profit/Losses" between months 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
Create a Python script to analyze and modernize the vote-counting process for a small, rural town using a set of poll data called [election_data.csv]. The dataset is composed of three columns: Voter ID, County, and Candidate.
The Python script will analyze the votes and calculate 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
- Import modules like
csv; to read and write files in various formats - Store contents in variables, lists, and dictionaries
- Iterate through basic data structures
- Debug along the way