Hands-On: How to Read Blockchain Transaction Data with Figma

Hands-On: How to Read Blockchain Transaction Data with Figma. Get practical lessons and hands-on examples at AIComputerClasses in Indore to master blockchain skills quickly. This article from AIComputerClasses Indore breaks down hands-on: how to read blockchain transaction data with figma into actionable steps. Includes references to tools like ChatGPT, Power BI, Excel, Figma, or Python where appropriate. Ideal for beginners and working professionals seeking fast skill gains.

🔗 Hands-On: How to Read Blockchain Transaction Data with Figma

The world of blockchain isn’t just about cryptocurrency anymore — it’s about data transparency, visualization, and understanding complex transactions. In 2025, industries like finance, logistics, and even government systems are adopting blockchain to ensure trust, traceability, and accountability.

At AI Computer Classes, Indore, we empower learners to decode blockchain data visually using tools like Figma. Surprising, right? While Figma is a design tool, it’s an excellent way to visualize transaction flows and smart contract data structures interactively. This hands-on workflow will help beginners and professionals alike to analyze blockchain data like a pro.

🧩 What Is Blockchain Transaction Data?

Every blockchain — whether Bitcoin, Ethereum, or Solana — stores data in blocks. Each block contains:

• Transaction IDs
• Sender and receiver wallet addresses
• Timestamps
• Smart contract data (for DeFi or NFT systems)
• Hashes ensuring immutability

Reading this data manually can be complex. But by using visual workflow tools like Figma, you can simplify and represent transaction flows, node relationships, and data movement clearly.

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🧠 Step 1: Understanding How Blockchain Stores Data

Before diving into visuals, let’s understand the structure.

Each blockchain stores data in a linked structure:

Block → Transaction → Inputs → Outputs → Hash → Next Block

This structure ensures that every transaction is securely chained to the previous one. You can think of it like Google Sheets, where every row depends on the previous formula — only far more secure and distributed.

Example:

A Bitcoin transaction record might include:

• Hash: 000000000019d6689c085ae165831e934...
• Input: Wallet A (sending 0.5 BTC)
• Output: Wallet B (receiving 0.5 BTC)
• Timestamp: 2025-10-30 10:00 UTC

Visualizing this data can help you understand fund flow and verification logic better.

🧰 Step 2: Collecting Blockchain Transaction Data

You can collect raw blockchain data using:

• Block explorers like Etherscan or Blockchain.com
• APIs such as Alchemy or Infura
• Python scripts using web3.py

For example:

from web3 import Web3
w3 = Web3(Web3.HTTPProvider('https://mainnet.infura.io/v3/YOUR_API_KEY'))
tx = w3.eth.get_transaction('0x123abc...')
print(tx)

This gives you structured data like:

• from
• to
• gasUsed
• value
• blockNumber

This data becomes the foundation for Figma visualization.

🎨 Step 3: Why Use Figma for Blockchain Visualization?

You might wonder, “Why Figma for blockchain?”

Here’s why:

• It helps you create clean visual models of complex data.
• You can collaborate in real-time with your team.
• It’s ideal for presentations, dashboards, and UI mockups for blockchain apps.
• You can map transaction journeys visually to explain fund flow.

At AI Computer Classes, Indore, our blockchain course integrates design thinking with data analysis — allowing you to see blockchain logic instead of just reading it.

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🧭 Step 4: Creating a Blockchain Transaction Flow in Figma

Let’s create a simple transaction visualization workflow:

Step-by-step:

1. Open Figma and create a new Artboard (Frame).
2. Add rectangles representing blocks (e.g., Block 1001, Block 1002).
3. Use arrows or connectors to show links between blocks.
4. Inside each block, add text for:

• Transaction ID
• Sender/Receiver addresses
• Value transferred

1. Use color codes (e.g., blue for input, green for output).
2. Add hashes and timestamps as annotations.

Bonus:

Use Figma’s Components feature to create reusable transaction templates.

This method helps students see the entire data pipeline — how each transaction builds upon the last.

💡 Step 5: Integrate ChatGPT for Blockchain Insights

Pairing ChatGPT with Figma can elevate your visualization quality.

Try prompts like:

“Explain the transaction structure of Ethereum smart contracts in simple terms.”

or

“Give me a color-coded flowchart layout for Bitcoin transactions.”

Then, use ChatGPT’s explanations to design accurate visuals in Figma. This hybrid workflow allows you to:

• Understand blockchain concepts quickly
• Design data flows more precisely
• Build intuitive dashboards for presentations

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🔍 Step 6: Visualizing Smart Contract Data

Smart contracts execute automatically when conditions are met. Using Figma, you can visually represent:

• Contract triggers
• Input/Output data
• Token flow
• Event logs

Example workflow:

1. Contract Node: Displays the smart contract name
2. Action Nodes: Represent “Buy,” “Sell,” or “Mint”
3. Event Blocks: Show emitted transaction data

Use icons and connectors in Figma to simplify these relationships.

🧩 Step 7: Add Layers for Analytics Visualization

You can make your blockchain visual more powerful by overlaying:

• Gas usage statistics
• Transaction success rates
• Block confirmation times

Add these as data labels in Figma using chart-like shapes. It makes your visualization more educational and analytic-friendly — perfect for learners who want to understand blockchain’s performance metrics.

🧭 Step 8: Presenting Blockchain Dashboards

After designing the visuals:

• Export Figma frames as PNG or SVG
• Use them in Power BI or Excel dashboards
• Annotate data flows for clarity

This gives you a hybrid workflow: technical + visual understanding.

Many learners at AI Computer Classes use this method to create portfolio projects or case studies that demonstrate both analytical and design skills.

🚀 Conclusion

Reading blockchain transaction data can be complex — but with Figma, it becomes interactive and intuitive. By combining design and data, you can visually decode smart contracts, transaction flows, and blockchain logic.

At AI Computer Classes, Indore, we’re redefining how students learn emerging technologies. Whether it’s Blockchain, AI, or Data Science, our approach ensures clarity, creativity, and career readiness.

Start exploring blockchain visually — your next big idea might just be one block away!

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