In this challenge, I am tasked with creating a Python script to analyze the financial records of a company. Given a set of financial data called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses". (Thankfully, the company has rather lax standards for accounting, so the records are simple.)
I created 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 changes in "Profit/Losses" over the entire period, and then the average of those changes
-
The greatest increase in profits (date and amount) over the entire period
-
The greatest decrease in profits (date and amount) over the entire period
The analysis looks as such:
Financial Analysis
----------------------------
Total Months: 86
Total: $22564198
Average Change: $-8311.11
Greatest Increase in Profits: Aug-16 ($1862002)
Greatest Decrease in Profits: Feb-14 ($-1825558)
In addition, your final script should both print the analysis to the terminal and export a text file with the results.
In this challenge, I was 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". I created 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.
The analysis looks as such:
Election Results
-------------------------
Total Votes: 369711
-------------------------
Charles Casper Stockham: 23.049% (85213)
Diana DeGette: 73.812% (272892)
Raymon Anthony Doane: 3.139% (11606)
-------------------------
Winner: Diana DeGette
-------------------------