Step-by-step guide for scraping and cleaning data using Python libraries for robust data preparation
Comprehensive coverage of web visualization with JavaScript libraries such as Plotly, D3, and Leaflet for dynamic charts
Hands-on examples using Jupyter notebooks with Pandas, Matplotlib, and Seaborn for interactive data exploration
Web development skills taught including HTML, CSS, and JavaScript for deploying visualizations on the web
Best practices for building efficient, maintainable, and scalable data visualization pipelines
Summarized by Shop
How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices,