{"id":18330113,"url":"https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization","last_synced_at":"2026-04-10T15:46:53.845Z","repository":{"id":217712616,"uuid":"744614902","full_name":"dmarks84/Coursework_Coursework_Project_Automobile-Sales-Visualization","owner":"dmarks84","description":"Project for IBM Data Science course on Visualization \u0026 Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard","archived":false,"fork":false,"pushed_at":"2024-01-17T23:06:06.000Z","size":607,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T10:32:07.717Z","etag":null,"topics":["communication","dash","dashboards","data-modeling","elt","etl","folium","matplotlib","numpy","pandas","pipelines","plotly","python","scipy","seaborn","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dmarks84.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2024-01-17T16:56:42.000Z","updated_at":"2024-07-23T15:20:52.000Z","dependencies_parsed_at":"2024-01-18T01:18:04.538Z","dependency_job_id":"091166d3-bfc4-475a-9f11-f9edf2510f99","html_url":"https://github.com/dmarks84/Coursework_Coursework_Project_Automobile-Sales-Visualization","commit_stats":null,"previous_names":["dmarks84/project_automobile-sales-visualization","dmarks84/coursework_coursework_project_automobile-sales-visualization"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmarks84%2FCoursework_Coursework_Project_Automobile-Sales-Visualization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmarks84%2FCoursework_Coursework_Project_Automobile-Sales-Visualization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmarks84%2FCoursework_Coursework_Project_Automobile-Sales-Visualization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmarks84%2FCoursework_Coursework_Project_Automobile-Sales-Visualization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmarks84","download_url":"https://codeload.github.com/dmarks84/Coursework_Coursework_Project_Automobile-Sales-Visualization/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248079038,"owners_count":21044224,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["communication","dash","dashboards","data-modeling","elt","etl","folium","matplotlib","numpy","pandas","pipelines","plotly","python","scipy","seaborn","visualization"],"created_at":"2024-11-05T19:20:31.462Z","updated_at":"2026-04-10T15:46:53.804Z","avatar_url":"https://github.com/dmarks84.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Project(Project_Automobile-Sales-Visualization)\n### Part of the Coursera series: IBM Data Science\n    \n## Summary\nIn this project, we were tasked with creating plots which answer questions for analysing \"historical_automobile_sales\" data to understand the historical trends in automobile sales during recession periods.  We employed a number of data wrangling techniques before performing EDA adn then setting up a dashboard to visualize the results in realtime.\n\n## Skills (Developed \u0026 Applied)\nProgramming, Python, SciPy, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Dash, Folium, Dataframes, ETL \u0026| ELT \u0026 Data Pipelines, Data Modeling, EDA, Data Visualization, Data Summarization, Data Reporting, Dashboards, Communication\n    ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmarks84%2Fcoursework_coursework_project_automobile-sales-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmarks84%2Fcoursework_coursework_project_automobile-sales-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmarks84%2Fcoursework_coursework_project_automobile-sales-visualization/lists"}