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# Python_Challenge
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This repository shows a real-world application where I can use the skills learned in Python. PyBank will show how to analyze financial records for a company. It will cover the date and profit/losses of the company. PyPoll is an example of how I can modernize a rural area's vote-counting process.
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This repository shows a real-world application where I can use the skills learned in Python.
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# PyBank
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PyBank shows how to analyze financial records of a company. The financial data set budget_data.cvs was provided.
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This Pytho script analyzes the records to calculate the following:
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1. The total number of months included in the dataset
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2. The net total amount of "Profit/Losses" over the entire period
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3. The changes in "Profit/Losses" over the entire period, and then the average of those changes
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4. The greatest increase in profits ( date and amout) over the entire period
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5. The greatest decrease in profits (date and amount) over the entire period
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# PyPoll
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PyPoll is an example of how I can modernize a small rural towns vote-counting process. The data set election_data.csv was given. The dataset is composed of three columns: "Voter ID","County", and "Candidate".
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This Python script analyzes the votes and calculates the following:
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1. The total number votes cast
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2. A complete list of candidates who received votes
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3. The percentage of votes each candidate won
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4. The total number of votes each candidate won
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5. The winner of the election based on popular vote

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