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PyBank

Revenue

We will be creating a Python script to analyze the financial records of a company that will be provided as data set called [budget_data.csv]. The dataset is composed of two columns: Date and Profit/Losses.

The Python script will analyze the financial 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 change in "Profit/Losses" between months 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

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

PyPoll

Vote-Counting

Here, we will be creating a Python script to analyze and modernize the vote-counting process for a small, rural town using a set of poll data called [election_data.csv].

The Python script will analyze the votes and calculate 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