Creating Data Dashboards with Python (Paperback)
Miguel Farmer
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. Unlock the power of Python to design and develop dynamic data dashboards that deliver actionable insights with ease. This practical guide walks you through building interactive visualizations that allow users to explore and understand complex datasets through intuitive dashboards.Whether you're a data analyst, developer, or business professional, this book teaches you how to harness popular Python libraries to create dashboards that are not only functional but also visually appealing and easy to use.What you'll learn: Setting up your Python environment for dashboard developmentUsing libraries like Dash, Plotly, and Bokeh for interactive visualizationsDesigning layouts and user interfaces for dashboardsConnecting dashboards to live data sources and databasesImplementing filters, dropdowns, and input controls for user interactionCreating charts, maps, and tables to visualize different data typesOptimizing dashboards for performance and responsivenessDeploying dashboards as web applicationsBest practices for data storytelling and dashboard designReal-world examples and case studies to reinforce conceptsBy the end of this book, you'll be able to create powerful, interactive dashboards that transform data into insights accessible to all stakeholders.Perfect for anyone looking to build engaging and effective data dashboards using Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798285424734
Unlock the power of Python to design and develop dynamic data dashboards that deliver actionable insights with ease. This practical guide walks you through building interactive visualizations that allow users to explore and understand complex datasets through intuitive dashboards.
Whether you’re a data analyst, developer, or business professional, this book teaches you how to harness popular Python libraries to create dashboards that are not only functional but also visually appealing and easy to use.
What you’ll learn:
Setting up your Python environment for dashboard development
Using libraries like Dash, Plotly, and Bokeh for interactive visualizations
Designing layouts and user interfaces for dashboards
Connecting dashboards to live data sources and databases
Implementing filters, dropdowns, and input controls for user interaction
Creating charts, maps, and tables to visualize different data types
Optimizing dashboards for performance and responsiveness
Deploying dashboards as web applications
Best practices for data storytelling and dashboard design
Real-world examples and case studies to reinforce concepts
By the end of this book, you’ll be able to create powerful, interactive dashboards that transform data into insights accessible to all stakeholders.
Perfect for anyone looking to build engaging and effective data dashboards using Python.
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