Daily Transactions and Unique Addresses

This dashboard here views the growth of Polygon network by looking at the transactions and unique users in the network in the month of July and analyses its growth over time.

Introduction

Polygon supports Web3 for everyone. A decentralized Ethereum scaling platform called Polygon enables developers to create user-friendly, scalable decentralized applications (dApps) with cheap transaction costs without ever compromising security. A scaling solution called Polygon, originally known as the Matic Network, intends to offer a variety of tools to increase the speed, lower the cost, and simplify transactions on blockchain networks.

Ethereum, a platform that is home to a variety of decentralized apps, including those where you may join virtual worlds, play games, purchase art, and partake in a range of financial activities, lies at the heart of Polygon's concept. However, because to the high cost of transmission and blocked bandwidth caused by this much activity on its blockchain, Ethereum is now all but useless.For more info visit:

Methodology

The query here initially takes into account the distinct transactions in the ecosystem and then also the transaction fee that is collected by the ecosystem since the beginning of this month.Then the distinct users in the ecosystem are also charted to see the transacted users.By accounting for this the growth of the network can be analyzed.

The daily transactions done by the users in the ecosystem is listed here and also the transaction fee collected by the network is also seen.

The transactions done by the users in this ecosystem are charted here and it is seen that the polygon network is growing such that all daily transactions are above 2M.Now the fee collected by it is also analyzed.

The fee collected by the above mentioned transactions is seen and it accounts for the wealth of the ecosystem.

Both the distinct numbers indicate the popularity of the polygon network in this month that 1.066M of distinct users and almost 28 M of the total transactions are also made by the users.

Now the distribution of distinct users in the polygon ecosystem is charted here and it indicates that the growth of the users in the ecosystem has been increasing over time and has been also maintaining the same statistic level.