A plethora of new labels have been added to Flipside's NEAR labels table. Using the labels, dive into which specific projects and project types (defi, nfts, etc) generate the most gas fees, have the most users, and have the highest number of transactions per user.

Next, dig a little deeper and see if you can find which project types and which projects have the stickiest(repeat) users!

In this analysis, the new labels of the NEAR table on the Flipside website have been investigated. The main prospects of this investigation are about generated fee, active users and average transaction per user. This dashboard is divided into the following parts:

• Projects
• Sectors
• Conclusion

The data provided by Flipside has been used to handle this analysis.

• The sectors with the highest paid fee have been investigated by considering various metrics like total paid fees and average paid fees in NEAR. Additionally the most popular projects on the NEAR network by considering the paid fee have been calculated.

• After fee analysis, the user activity in the various sectors and projects has been investigated by various metrics. Also, the attraction of new users by various sectors has been determined over the selected time period.

• The distribution of users by a count of interaction has been identified to evaluate the stickiest sectors and projects on the NEAR blockchain.

• Note: The time frame of this investigation can be set by the reader of this dashboard. Also, the time basis can be changed from Daily to Weekly and Monthly

Near is a public, sharded, extensible blockchain network based on the proof-of-stake (POS) paradigm. Developers can use this platform to launch their own decentralized applications (similar to the Ethereum network). The token of this network is called NEAR, which is the functional token of this network. The main goal of the NEAR network is to create an infrastructure for creating a new Internet. In the new internet, it will be harder for big companies to access people's personal information. Countries cannot ban some programs and destroy their business in this system. A world of freedom where everyone can act freely.

This platform uses sharding technology to solve the problem of scalability. In this model, a transaction does not need to be checked by all network nodes. With sharding, a network is turned into several parallel networks that check transactions simultaneously, so that each transaction is checked in a shard. As a result, only nodes present in a shard will check and confirm this transaction, and other nodes present in other shards of the network will not check this transaction. This idea makes the capacity of the network increase significantly.