This is the first of many Web3 data guides I plan on doing. The goal here is to explain the protocol from a data analyst/engineer’s perspective. These guides aim to bring transparency to the data you see on dashboards, as well as awareness of how well (or not well) protocols are built for data analysis.

In these guides, I’ll cover protocols in three sections:

1. Protocol overview and high-level statistics

2. Main protocol interactions and how to derive the important data points from them

3. Some of the more complex queries and abstractions created

All data is sourced from Dune Analytics, a platform for building cross-chain queries and dashboards - most of which is open source.

I’ve also recorded a video walk through everything mentioned in this article:

If you collect this entry, you can get access to my web3 data degens telegram group We discuss the newest protocols, debug general query questions, and help analysts find jobs (freelance and fulltime).

This is the first of many Web3 data guides I plan on doing. The goal here is to explain the protocol from a data analyst/engineer’s perspective. These guides aim to bring transparency to the data you see on dashboards, as well as awareness of how well (or not well) protocols are built for data analysis.

In these guides, I’ll cover protocols in three sections:

1. Protocol overview and high-level statistics

2. Main protocol interactions and how to derive the important data points from them

3. Some of the more complex queries and abstractions created

All data is sourced from Dune Analytics, a platform for building cross-chain queries and dashboards - most of which is open source.

I’ve also recorded a video walk through everything mentioned in this article:

If you collect this entry, you can get access to my web3 data degens telegram group We discuss the newest protocols, debug general query questions, and help analysts find jobs (freelance and fulltime).