Business Intelligence & Data Analyst 📊 Hands-On Engineer ⚙️ SI • Web3 • SQL 🟣 Startup Intelligence News ♊️ Building a portfolio in Public

Somewhere around the World.
Joined April 2024
Lesson 9 — applied. ☑️
🟣'Lesson 9 — Transaction Value Consistency' Which wallets have the most consistent transaction values? We've measured: 'Transaction frequency' 'Total volume' 'Average value per transaction' But here's another question: 'Does a wallet transact around a similar value each time
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🟣'Lesson 9 — Transaction Value Consistency' Which wallets have the most consistent transaction values? We've measured: 'Transaction frequency' 'Total volume' 'Average value per transaction' But here's another question: 'Does a wallet transact around a similar value each time
Replying to @Analyst_HFL
Next: 'How consistent are the transaction values of each wallet?'
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'Next: How much of the total network volume is collectively controlled by the largest wallets?'
Lesson 8 — applied. ☑️
🟣'Lesson 8 — Wallet Activity Segmentation' How can we segment wallets based on how frequently they transact? We know which wallets are highly active. But here's a better question: 'How can we group wallets based on their transaction frequency?' A wallet making 1 transaction
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🟣'Lesson 8 — Wallet Activity Segmentation' How can we segment wallets based on how frequently they transact? We know which wallets are highly active. But here's a better question: 'How can we group wallets based on their transaction frequency?' A wallet making 1 transaction
Replying to @Analyst_HFL
'Next: How do we segment wallets based on their transaction behavior?'
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The important thing is to define the threshold based on the dataset, business question and analysis period. That's when segmentation becomes useful for: User behaviour + customer profiling + targeting #SQL #SQLServer #SSMS #Web3 #Blockchain #DataAnalytics #BusinessIntelligence
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Next: 'How consistent are the transaction values of each wallet?'
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Henry Okonkwo💜 retweeted
🟣RUNNING THE NUMBERS 🏃🏾‍♂️📊- Day 19/39 8.66 km | 46:50 | 5:24/km 702 kcal | 72m elevation | 161 cadence Saturday: 13.46 km at 5:29/km. Today was faster, but Saturday covered more ground. Here's what caught my attention: I can measure the result, but I don't have every metric
🟣RUNNING THE NUMBERS 🏃🏾‍♂️📊 - Day 18 13.46 km | 1:13:48 | 5:29/km 1,041 kcal | 139m elevation | 159 cadence Thursday: 10.96 km at 5:08/km. Today, I ran 2.5 km farther, at a slower pace. And that's perfectly fine. Not every run needs to be a race against the clock.
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Henry Okonkwo💜 retweeted
Happy birthday to me!!!🎂🎂🎂
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Henry Okonkwo💜 retweeted
One thing I'm learning about AI engineering: You don't need to understand everything before you start building But you do need to understand what you're building My learning priorities are: 1️⃣Python for writing & understanding code 2️⃣SQL for retrieving & working with data 🧵..
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