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SKU/Artículo: AMZ-B0G3WTTR3J
Data Visualization with Python: Master Matplotlib, Seaborn, Plotly, and Interactive Dashboards
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.86 kg
0.86 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Data Visualization with Python: Master Matplotlib, Seaborn, Plotly, and Interactive Dashboards Data Visualization with Python is a practical, hands-on guide that shows you how to turn raw data into clear, compelling, and interactive visual stories. This book walks you through the essentials of Matplotlib and Seaborn, then expands into advanced, modern techniques using Plotly and full interactive dashboards. You learn not just how to create charts, but how to design visuals that communicate insight, support decision-making, and elevate your data analysis. Each chapter focuses on real-world clarity and efficiency, giving you the skills to produce beautiful and meaningful graphics with confidence. Summary The book takes you from foundational plotting to polished, interactive visualizations suited for presentations, dashboards, and data applications. You explore how to structure visual narratives, apply color effectively, annotate charts for impact, and build real-time dashboards with Plotly Dash and Streamlit. With clear explanations and practical examples, you gain a strong command of Python’s most powerful visualization tools. By the end, you know how to turn complex data into visuals that engage, inform, and persuade your audience. Key Features of This Book This book offers a complete introduction to Matplotlib’s precision, Seaborn’s statistical elegance, and Plotly’s dynamic interactivity. It teaches you how to structure datasets for effective plotting, choose the right chart for each insight, and design visuals that hold your viewer’s attention. You develop the ability to create dashboards that update interactively, connect user inputs to live charts, and deploy your work for others to use. Concepts like color theory, accessibility, storytelling, and layout design are woven throughout to help you create visuals that are both beautiful and purposeful. This book is ideal for beginners stepping into data visualization, Python users who want to strengthen their plotting skills, data analysts who need better visuals for work, students learning analytics, and professionals preparing reports, dashboards, or presentations. No advanced math or prior visualization experience is required just a willingness to learn and experiment. If you're ready to level up your data storytelling skills, build interactive dashboards, and master the most powerful visualization tools in Python, this book gives you the roadmap. Start your journey now and transform the way you communicate with data.
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U$S 74,98
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