• In this challenge, it is required to create a Python script for analyzing the financial records of your company. The financial data called budget_data.csv was provided but not added here. The dataset is composed of two columns: Date and Profit/Losses.

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

• This challenge is tasked with helping a small, rural town modernize its vote counting process.

• Provided is poll data called election_data.csv. The dataset is composed of three columns: Voter ID, County, and Candidate. The 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, the final 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, the final script should both print the analysis to the terminal and export a text file with the results.

I have used python modules like csv and os for file operations. The challenging part was to do sort operations on dictionary of lists for the right output format. I have used some of the advanced features as list comprehension, lambda and zip to achieve that. The output files for both PyBank and PyPoll are written to their respective Analysis folders.