PyBank
Python script created for analyzing the financial records given in budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.
Python script analyzes 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
PyPoll
Python script created for analyzing poll data given in election_data.csv. The dataset is composed of three columns: Voter ID
, County
, and Candidate
.
Python script analyzes the votes and calculates 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.
packages and Tools used: