# The-Data-Visualization-Workshop **Repository Path**: PacktWorkshops/The-Data-Visualization-Workshop ## Basic Information - **Project Name**: The-Data-Visualization-Workshop - **Description**: A New, Interactive Approach to Learning Data Visualization - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-07-03 - **Last Updated**: 2025-07-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # The Data Visualization Workshop [![GitHub issues](https://img.shields.io/github/issues/PacktWorkshops/The-Data-Visualization-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Visualization-Workshop/issues) [![GitHub forks](https://img.shields.io/github/forks/PacktWorkshops/The-Data-Visualization-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Visualization-Workshop/network) [![GitHub stars](https://img.shields.io/github/stars/PacktWorkshops/The-Data-Visualization-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Visualization-Workshop/stargazers) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/PacktWorkshops/The-Data-Visualization-Workshop/pulls) [![versions](https://img.shields.io/pypi/pyversions/pybadges.svg)](https://www.python.org/downloads/) This is the repository for [The Data Visualization Workshop](https://www.amazon.com/Data-Visualization-Workshop-transforming-captivating-ebook/dp/B08Q8FGCZ7/ref=sr_1_1?dchild=1&keywords=The%20Data%20Visualization%20Workshop&qid=1610977055&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801073899&utm_term=Data%20Visualization&utm_content=The%20Data%20Visualization%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish. ## Requirements and Setup The Data Visualization Workshop To get started with the project files, you'll need to: 1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/) 2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux) Please note that there are no code files for Chapter 2 and hence there is no corresponding files are uploaded in this repositories. ## About The Data Visualization Workshop [The Data Visualization Workshop](https://www.amazon.com/Data-Visualization-Workshop-transforming-captivating-ebook/dp/B08Q8FGCZ7/ref=sr_1_1?dchild=1&keywords=The%20Data%20Visualization%20Workshop&qid=1610977055&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801073899&utm_term=Data%20Visualization&utm_content=The%20Data%20Visualization%20Workshop) will help you get started with data visualization, giving you the confidence to choose the best visualization technique to suit your needs. Fun activities and exercises featured throughout the book will keep you engaged as you build interactive visualizations with real data. ## What you will learn * Understand the importance of data visualization in data science * Implement NumPy and pandas operations on real-life datasets * Create captivating data visualizations using plotting libraries * Use advanced techniques to plot geospatial data on a map * Integrate interactive visualizations to a webpage * Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib ## Related Workshops If you've found this repository useful, you might want to check out some of our other workshop titles: * [The Data Analysis Workshop](https://www.amazon.com/Data-Analysis-Workshop-state-art-ebook/dp/B08Q8HXRQ4/ref=sr_1_1?dchild=1&keywords=The%20Data%20Analysis%20Workshop&qid=1610708839&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781839211386&utm_term=Data%20Analysis&utm_content=The%20Data%20Analysis%20Workshop) * [The Applied Aritificial Intelligence Workshop](https://www.amazon.com/Applied-Artificial-Intelligence-Workshop-decision-ebook/dp/B08BZS3X9S/ref=sr_1_1?dchild=1&keywords=the%20applied%20artificial%20intelligence%20workshop&qid=1610708393&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781800205819&utm_term=Applied%20Aritificial%20Intelligence&utm_content=The%20Applied%20Aritificial%20Intelligence%20Workshop) * [The Natural Language Processing Workshop](https://www.amazon.com/Natural-Language-Processing-Workshop-understand/dp/1800208421/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611057842&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801077811&utm_term=Natural%20Language%20Processing&utm_content=The%20Natural%20Language%20Processing%20Workshop)