Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

Data is only as valuable as the insights you can extract. In Visualizing API Data, Steven Paul provides a step‑by‑step tutorial on transforming raw JSON and CSV API responses into compelling visualizations using Python's matplotlib and JavaScript's D3.js. 

• Parse and clean API data streams for charting.
• Create line, bar, and network graphs with code examples.
• Build interactive dashboards that update in real time.

Complete exercises and sample datasets guide developers, data analysts, and technical students through every stage of the visualization pipeline.

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Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

Data is only as valuable as the insights you can extract. In Visualizing API Data, Steven Paul provides a step‑by‑step tutorial on transforming raw JSON and CSV API responses into compelling visualizations using Python's matplotlib and JavaScript's D3.js. 

• Parse and clean API data streams for charting.
• Create line, bar, and network graphs with code examples.
• Build interactive dashboards that update in real time.

Complete exercises and sample datasets guide developers, data analysts, and technical students through every stage of the visualization pipeline.

5.95 In Stock
Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

by Adaptive Publishing Group, Steven Nohr
Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

Visualizing API Data: Hands-On Tutorial for Developers and Analysts (Crypto-Series-1, #6)

by Adaptive Publishing Group, Steven Nohr

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Overview

Data is only as valuable as the insights you can extract. In Visualizing API Data, Steven Paul provides a step‑by‑step tutorial on transforming raw JSON and CSV API responses into compelling visualizations using Python's matplotlib and JavaScript's D3.js. 

• Parse and clean API data streams for charting.
• Create line, bar, and network graphs with code examples.
• Build interactive dashboards that update in real time.

Complete exercises and sample datasets guide developers, data analysts, and technical students through every stage of the visualization pipeline.


Product Details

BN ID: 2940181832008
Publisher: Crypto Formula Foundation
Publication date: 05/05/2025
Series: Crypto-Series-1
Sold by: Draft2Digital
Format: eBook
File size: 377 KB

About the Author

Steven Nohr

Technology Strategist | Innovator | Patent Holder

Steven Nohr is a technology strategist, product architect, and intellectual property developer with over 25 years of experience spanning global markets, emerging platforms, and disruptive systems design.

He holds multiple patents across critical innovation zones — including adaptive computing, immersive hardware, modular image editing systems, decentralized infrastructure, wearable tech, and smart airport systems. In 2002, he patented the world's first decentralized peer-to-peer network (US_7802724_B1), nearly a decade before Satoshi Nakamoto's Bitcoin white paper.

Since 2016, Steven has been deeply engaged in blockchain architecture, DeFi systems, and Web3 infrastructure — including predictive automation tools, API-based market analysis, and NFT signal detection. He is the Co-Founder of Crypto Formula Foundation, a next-gen educational series delivering crypto intelligence through structured eBooks and data-driven video courses.

He also leads Adaptive Publishing Group, distributing future-focused content globally — bridging real-world systems with accessible knowledge, many of which are tied to patents.

A former Regional Strategy Director and Senior Product Lead, Steven has launched innovation programs across Asia-Pacific and North America, with deep expertise in edge computing, AI modeling, decentralized infrastructure, and synthetic computing design. His primary motivation is legacy — building tools and knowledge systems to empower tomorrow's minds, starting with his own son.

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