{"id":29649378,"url":"https://github.com/jabulente/histogram-visualization-with-matplotlib","last_synced_at":"2025-07-22T04:06:39.818Z","repository":{"id":304728437,"uuid":"1019759628","full_name":"Jabulente/Histogram-Visualization-With-Matplotlib","owner":"Jabulente","description":"This repository showcases how to create visually appealing and customized histograms using Python’s Matplotlib and Seaborn libraries. 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It includes examples of enhancing default plots with colors, fonts, transparency, and layout adjustments to better communicate data distribution insights.\n\n## Features\n- Custom color palettes and transparency\n- Font and layout adjustments for presentation-ready plots\n- Fine-tuned bin settings for detailed distribution insights\n- Minimal and clean design aesthetics\n\n##  Technologies Used\n- Python 3\n- Matplotlib\n- Seaborn\n- Jupyter Notebook\n\n## 🖼 Sample Outputs\n\nBelow are examples of customized histograms from the project:\n\n\n![Histogram](Outputs/Histogram6.png)\n\n---\n\n![Histogram](Outputs/Histogram5.png)\n\n---\n\n![Histogram](Outputs/Histogram4.png)\n\n---\n\n![Histogram](Outputs/Histogram3.png)\n\n---\n\n![Histogram](Outputs/Histogram2.png)\n\n----\n\n![Histogram](Outputs/Histogram1.png)\n\n---\n\n\u003e *Images are included in the `Outputs/` folder.*\n\n##  How to Use\nClone the repo and run the Jupyter Notebook to explore how each customization enhances the histogram plot.\n\n# Contribute \u0026 Support\n\nIf you find this project useful or inspiring:\n\n-  Star the repository\n-  Leave a comment or suggestion\n-  Share with others\n\n----\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjabulente%2Fhistogram-visualization-with-matplotlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjabulente%2Fhistogram-visualization-with-matplotlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjabulente%2Fhistogram-visualization-with-matplotlib/lists"}