{"repo":"SaurabhSSB/python_module_matplotlib_seaborn","free":true,"listed":false,"github":"https://github.com/SaurabhSSB/python_module_matplotlib_seaborn","clone":"git clone https://github.com/SaurabhSSB/python_module_matplotlib_seaborn.git","description":"Interactive Jupyter notebooks showcasing data visualization with Matplotlib and Seaborn for learners and data practitioners.","language":"Jupyter Notebook","stars":12,"topics":["barplot","data-science","data-visualization","eda","exploratory-data-analysis","heatmap","jupyter-notebook","matplotlib","plots","python"],"license":"MIT","category":"analytics","readme_excerpt":"python module matplotlib seaborn This repository contains interactive Jupyter notebooks showcasing data visualization techniques using Matplotlib and Seaborn . Contents - 1. data visualization.ipynb Covers the basics of data visualization with Matplotlib, including line plots, bar plots, subplots, and customization. - 2. Seaborn.ipynb Demonstrates advanced and statistical visualizations using Seaborn, such as barplots, boxplots, heatmaps, and categorical plots. Getting Started 1. Clone the repository or download the files directly. 2. Open the notebooks using Jupyter Notebook or JupyterLab. 3. Run the cells and explore various visualization techniques. Requirements - Python 3.x - matplotlib - seaborn - pandas - jupyter Install requirements using: Keywords python matplotlib seaborn data-visualization eda jupyter-notebook plots License This project is licensed under the MIT License.","default_branch":null,"files":null,"tree":[],"storefront":"/r/SaurabhSSB","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SaurabhSSB/python_module_matplotlib_seaborn/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}