Financial-Record-Analysts

• In this challenge, I was tasked with creating a Python script for analyzing the financial records of your company. I will give a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses. (Thankfully, your company has rather lax standards for accounting so the records are simple.)

• 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 net total amount of “Profit/Losses” over the entire period

  • Calculate the changes in “Profit/Losses” over the entire period, then find the average of those changes

  • The greatest increase in profits (date and amount) over the entire period

  • The greatest decrease in losses (date and amount) over the entire period

• As an example,my analysis will look similar to the one below:

  Financial Analysis
  ----------------------------
  Total Months: 86
  Total: $38382578
  Average  Change: $-2315.12
  Greatest Increase in Profits: Feb-2012 ($1926159)
  Greatest Decrease in Profits: Sep-2013 ($-2196167)
  

• In addition, my final script should both print the analysis to the terminal and export a text file with the results.

PyPoll

• In this challenge, I are tasked with helping a small, rural town modernize its vote counting process.

• I was given a set of poll data called election_data.csv. The dataset is composed of three columns: Voter ID, County, and Candidate. Your 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.

• As an example, your analysis should look similar to the one below:

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

• In addition, my final script should both print the analysis to the terminal and export a text file with the results.