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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:

  • csv,os
  • python

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