README.md

python-challenge

PyBank

• In this challenge, I received a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.

• My task is to create a Python script that analyzes the 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 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

• The output is as below:

Financial Analysis
------------------------------------
Total Months: 86
Total: 38382578.00
Average Change: $-2315.12
Greatest Increase in Profits: Feb-2012 ($1926159.00)
Greatest Decrease in Profits: Sep-2013 ($-2196167.00)

The final script prints the analysis to the terminal and exports the investigation to a text file.

PyPoll

• In this challenge, I have the task of helping a small, rural town modernize its vote-counting process.

• I received a set of poll data called election_data.csv. The dataset comprises three columns: Voter ID, County, and Candidate. My task is to create a Python script that 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.

• My analysis is:

  Election Results
  -------------------------
  Total Votes: 3521001
  -------------------------
  Khan: 63.000% (2218231)
  Correy: 20.000% (704200)
  Li: 14.000% (492940)
  O'Tooley: 3.000% (105630)
  -------------------------
  Winner: Khan
  -------------------------