https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization

Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization

communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization

Last synced: 10 days ago
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Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-17T16:56:42.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-17T23:06:06.000Z (12 months ago)
• Last Synced: 2024-12-23T13:17:13.332Z (10 days ago)
• Topics: communication, dash, dashboards, data-modeling, elt, etl, folium, matplotlib, numpy, pandas, pipelines, plotly, python, scipy, seaborn, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 593 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Project(Project_Automobile-Sales-Visualization)

### Part of the Coursera series: IBM Data Science

    

## Summary

In 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.

## Skills (Developed & Applied)

Programming, Python, SciPy, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Dash, Folium, Dataframes, ETL &| ELT & Data Pipelines, Data Modeling, EDA, Data Visualization, Data Summarization, Data Reporting, Dashboards, Communication