{"id":25815496,"url":"https://github.com/maddieemihle/python-challenge","last_synced_at":"2026-06-09T06:31:34.508Z","repository":{"id":267147599,"uuid":"898211101","full_name":"maddieemihle/python-challenge","owner":"maddieemihle","description":"Creating a Python script that analyzes financial records and election results","archived":false,"fork":false,"pushed_at":"2024-12-08T17:16:16.000Z","size":1892,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T11:07:41.319Z","etag":null,"topics":["data-analysis","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/maddieemihle.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-04T01:42:12.000Z","updated_at":"2025-01-07T01:02:30.000Z","dependencies_parsed_at":"2024-12-08T17:43:40.396Z","dependency_job_id":null,"html_url":"https://github.com/maddieemihle/python-challenge","commit_stats":null,"previous_names":["maddieemihle/python-challenge"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/maddieemihle/python-challenge","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maddieemihle%2Fpython-challenge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maddieemihle%2Fpython-challenge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maddieemihle%2Fpython-challenge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maddieemihle%2Fpython-challenge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/maddieemihle","download_url":"https://codeload.github.com/maddieemihle/python-challenge/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maddieemihle%2Fpython-challenge/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34095243,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-09T02:00:06.510Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","python"],"created_at":"2025-02-28T04:28:37.525Z","updated_at":"2026-06-09T06:31:34.484Z","avatar_url":"https://github.com/maddieemihle.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Python-Challenge**\n\n## Background \nIn this assignment, I used the concepts learned to complete two Python challenges: PyBank and PyPoll. Both tasks presented with real-world situations using CSV files (converting, reading, and cleaning), Python scripting techniques, printing to terminal, and converting to a text file. Python was used to develop a descriptive analysis of financial records and election results. \n\nAll data for this dataset was generated by _edX Boot Camps LLC_, and is intended for educational purposes only. \n\n### PyBank\nIn this section of the challenge, I was tasked with creating a Python script to analyze financial records. Using the dataset provided called [budget_data.csv](https://github.com/maddieemihle/python-challenge/blob/882b5ad312abab207d0f6b0eb2f1912d726af0cd/PyBank/Resources/budget_data.csv), I calculated the following values:\n\n    * The total number of months included in the dataset \n    * The net total of \"Profit/Losses\" over the entire period\n    * The changes in \"Proftit/Losses\" over the entire period, and then the average of those changes\n    * The greatest increase in profits (date and amount) over the entire period\n    * The greatest decrease in profits (date and amount) over the entire period \n\n### PyPoll\nIn this section of the challenge, I was tasked with assisting a small, rural town modernize its vote-counting process. Using the dataset provided called [election_data.csv](https://github.com/maddieemihle/python-challenge/blob/ebef338cd2dbb5df2f06b204708d00e6f835ee6c/PyPoll/Resources/election_data.csv), I created a Python script to analyze the votes and calculate each of the following values: \n\n    * The total number of votes cast\n    * A complete list of candidates who recieved votes\n    * The percentage of votes each candidate won\n    * The total number of votes each candidate won \n    * The winner of the election based on popular vote \n\n### Software used\nThe software used to analyze and write the code is Python via Visual Studio Code.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaddieemihle%2Fpython-challenge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaddieemihle%2Fpython-challenge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaddieemihle%2Fpython-challenge/lists"}