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PHP for Data Visualization and Charting: Creating Charts and Graphs with PHP Libraries: A Complete Guide to Building Interactive Graphs with pChart, J
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PHP for Data Visualization and Charting: Creating Charts and Graphs with PHP Libraries: A Complete Guide to Building Interactive Graphs with pChart, J

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：NT$ 912 元
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無庫存，下單後進貨(到貨天數約30-45天)
下單可得紅利積點 ：27 點
商品簡介

商品簡介

What You Will Learn in This Book
  • Grasp the Fundamentals: Understand the core principles of effective data visualization, learning which chart type-such as bar, line, pie, or scatter-is best suited to tell a clear and accurate story with your data.
  • Master Data Preparation: Learn to fetch, parse, and process data from a wide variety of sources. You will write PHP to handle data from databases like MySQL and PostgreSQL, as well as from files like CSV and JSON.
  • Clean and Structure Data: Acquire essential data wrangling skills in PHP, including how to handle missing values, filter and sort records, and perform aggregations like sums and averages to prepare your data for charting.
  • Generate Server-Side Charts: Gain proficiency in creating static, server-generated chart images using established PHP libraries like pChart and JpGraph, perfect for reports and automated emails.
  • Customize Visual Appearance: Take full control over the design of your charts. Learn to customize colors, fonts, gradients, labels, and legends to create professional, on-brand visualizations.
  • Build Modern, Interactive Charts: Embrace the power of JavaScript by learning how to use PHP as a backend data provider for popular, interactive charting libraries like Chart.js and Highcharts.
  • Create Secure Data APIs: Learn to build robust PHP scripts that function as secure API endpoints, serving clean JSON data to your client-side charts and applications.
  • Implement Dynamic Updates: Move beyond static pages by using AJAX techniques to create dashboards that fetch new data and update charts dynamically without requiring a full page reload.
  • Work with Advanced Data Sources: Learn how to connect to and consume data from external, third-party APIs, allowing you to visualize data from virtually any source on the web.
  • Optimize for Performance: Understand the performance trade-offs between server-side and client-side charting. Learn caching strategies, how to optimize database queries, and how to handle large datasets efficiently.
  • Apply Security Best Practices: Learn how to secure your entire data visualization workflow, from sanitizing data to prevent XSS attacks to protecting your data endpoints with authentication.
  • Build Real-World Projects: Synthesize your skills by walking through practical case studies, including building a website analytics dashboard, an e-commerce sales monitor, and a near real-time sensor data display.
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