{"product_id":"interactive-data-visualization-with-python-second-edition-present-your-data-as-an-effective-and-compelling-story-paperback","title":"Interactive Data Visualization with Python - Second Edition: Present your data as an effective and compelling story - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAbha Belorkar\u003c\/b\u003e (Author), \u003cb\u003eSharath Chandra Guntuku\u003c\/b\u003e (Author), \u003cb\u003eShubhangi Hora\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCreate your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eStudy and use Python interactive libraries, such as Bokeh and Plotly\u003c\/li\u003e \u003cli\u003eExplore different visualization principles and understand when to use which one\u003c\/li\u003e \u003cli\u003eCreate interactive data visualizations with real-world data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.\u003c\/p\u003e \u003cp\u003eYou'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.\u003c\/p\u003e \u003cp\u003eBy the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplore and apply different interactive data visualization techniques\u003c\/li\u003e \u003cli\u003eManipulate plotting parameters and styles to create appealing plots\u003c\/li\u003e \u003cli\u003eCustomize data visualization for different audiences\u003c\/li\u003e \u003cli\u003eDesign data visualizations using interactive libraries\u003c\/li\u003e \u003cli\u003eUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots\u003c\/li\u003e \u003cli\u003eCustomize data visualization for different scenarios\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 362\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 13, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212920439033,"sku":"9781800200944","price":73.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/cWlRa1c3Z3FUZmU2aktSL2xlaGFXZz09.webp?v=1768098996","url":"https:\/\/bookscloud.io\/products\/interactive-data-visualization-with-python-second-edition-present-your-data-as-an-effective-and-compelling-story-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}