Python-challenge

For this project I created two python scripts, Pybank and Pypoll.

Pybank

Created a Python script for analyzing the financial records of the company. I used the financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses.

• Created 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

  • 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

analysis of the script is given 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)

Pypoll In this project,I focussed on vote-counting process.

We used a set of poll data called election_data.csv. The dataset is composed of three columns: Voter ID, County, and Candidate. My task was 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.

• Analysis looks like 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
  -------------------------