https://github.com/martachesnova/python
Created a Python script to calculate and analyze financial records of a company. Created another Python script to do calculations and analysis of the voting process in a small town.
https://github.com/martachesnova/python
data-analysis python
Last synced: 3 months ago
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Created a Python script to calculate and analyze financial records of a company. Created another Python script to do calculations and analysis of the voting process in a small town.
- Host: GitHub
- URL: https://github.com/martachesnova/python
- Owner: martachesnova
- Created: 2021-06-25T00:53:58.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-02T07:46:25.000Z (over 3 years ago)
- Last Synced: 2025-01-06T10:13:37.574Z (5 months ago)
- Topics: data-analysis, python
- Language: Jupyter Notebook
- Homepage:
- Size: 17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Python
## PyBank
* Created a Python script to analyze financial records of the company.
* Analysis includes 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
* This is how the output looks like:
```text
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)
```
* The final script prints both the analysis to the terminal and exports a text file with the results.
## PyPoll
* Got tasked with helping a small town modernize its vote counting process.
* Created a Python script to analyze 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.
* This is how the output looks like:
```text
Election Results
-------------------------
Total Votes: 3521001
-------------------------
Khan: 63.000% (2218231)
Correy: 20.000% (704200)
O'Tooley: 3.000% (105630)
Li: 14.000% (492940)
-------------------------
Winner: Khan
-------------------------
```
* The final script prints both the analysis to the terminal and exports a text file with the results.