https://github.com/theo-liang/python-and-tableau-project-gun-violence-in-america
This project analyzes gun violence incidents in America to identify trends related to location, time, gun types, and demographic factors.
https://github.com/theo-liang/python-and-tableau-project-gun-violence-in-america
exploratory-data-analysis geospatial-analysis heatmaps jupyter-notebook k-means-clustering linear-regression principal-component-analysis python scatterplot supervised-machine-learning tableau-dashboards time-series-analysis unsupervised-machine-learning
Last synced: 22 days ago
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This project analyzes gun violence incidents in America to identify trends related to location, time, gun types, and demographic factors.
- Host: GitHub
- URL: https://github.com/theo-liang/python-and-tableau-project-gun-violence-in-america
- Owner: theo-liang
- Created: 2024-10-08T22:37:48.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-14T21:03:40.000Z (11 months ago)
- Last Synced: 2025-01-30T05:42:55.166Z (9 months ago)
- Topics: exploratory-data-analysis, geospatial-analysis, heatmaps, jupyter-notebook, k-means-clustering, linear-regression, principal-component-analysis, python, scatterplot, supervised-machine-learning, tableau-dashboards, time-series-analysis, unsupervised-machine-learning
- Language: Jupyter Notebook
- Homepage: https://public.tableau.com/views/GunViolenceinAmerica_17285089965480/Story1?:language=en-US&publish=yes&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link
- Size: 20.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
##### Description
###### This project involved analyzing a dataset on gun violence incidents to understand key factors influencing involvement. I performed data cleaning, exploratory visual analysis, and defined critical questions to formulate hypotheses. Advanced analyses included geospatial analysis, supervised and unsupervised machine learning, and time series analysis. Finally, I created visualizations and a dashboard report in Tableau to summarize the key insights.
##### Topics Covered
###### Python, geospatial analysis, supervised machine learning, linear regression, unsupervised machine learning, k-means clustering, time series analysis
##### Tools Used
###### Anaconda, Jupyter Notebook, Python, Tableau, Excel