Data visualization with Python and JavaScript scrape, clean, explore, and transform your data Author:Kyran Dale (Author)
©2022Description: 529 pages.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781098111878.Genre/Form: Print books.Summary: 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, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you startedCurrent location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | QA76.9.I52 D35 2023 (Browse shelf) | Available | AU00000000019995 |
Browsing Alfaisal University Shelves , Shelving location: On Shelf Close shelf browser
QA76.9 .I52 B46 2019 Introduction to information visualization : transforming data into meaningful information / | QA76.9.I52 B67 2014 Visual insights : a practical guide to making sense of data / | QA76.9.I52 C67 2020 Prepare Your Data for Tableau A Practical Guide to the Tableau Data Prep Tool / | QA76.9.I52 D35 2023 Data visualization with Python and JavaScript scrape, clean, explore, and transform your data | QA76.9.I52 D68 2021 Hands-On Data Visualization | QA76.9.I52 F74 2021 A history of data visualization and graphic communication / | QA76.9.I52 H43 2018 Data visualization : a practical introduction / |
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, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started