Skip to content

Latest commit

 

History

History
84 lines (52 loc) · 3.2 KB

README.md

File metadata and controls

84 lines (52 loc) · 3.2 KB
Raw

Unit 3 Homework: Python

Setup

Before starting the assignment, be sure to do the following:

  • Create a new repository for this project called python-challenge. Do not add this homework assignment to an existing repository.

  • Clone the new repository to your computer.

  • Inside your local git repository, create a directory for each Python challenge. Use folder names corresponding to the challenges: PyBank and PyPoll.

  • Inside of each folder that you just created, add the following:

    • A new file called main.py. This will be the main script to run for each analysis.
    • A Resources folder that contains the CSV files you used. Make sure your script has the correct path to the CSV file.
    • An analysis folder that contains your text file that has the results from your analysis.

  • Push these changes to GitHub or GitLab.

PyBank Instructions

In this challenge, you are tasked with creating a Python script to analyze the financial records of your company. You 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.)

Your 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

  • 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

Your analysis should look similar to the following:

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.

PyPoll Instructions

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

You will be 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.

Your analysis should look similar to the following:

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
-------------------------

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