Method :

• I used near.core.fact_transactions table for extracting minimum date of users interacted with NEAR chain.
• I prepared this analysis for the last three months.
• I am assuming that TX_RECEIVER is equivalent to the protocol that the user interacted with.
• I used near.core.fact_actions_events_function_call table for extracting Actions.

• The number of new users who joined this network increased sharply from July 8 to July 13, and then the number of new users decreased.
• As we can see, the largest number of new users have joined this network in July.
• The total number of new users who have joined this network in the last three months reaches 210 thousand wallets.

• About 67% of new users have interacted with ==Aurora protocol==. This number is much higher than other protocols.

• The most action of new users was draw. After that it was create_account. Note that these actions are based on the number of transactions registered in the network.

Concolusion :

From the above analysis, we obtained the following results :

1. The number of new users who joined this network increased sharply from July 8 to July 13, and then the number of new users decreased.
2. As we can see, the largest number of new users have joined this network in July.
3. The total number of new users who have joined this network in the last three months reaches 210 thousand wallets.
4. About 67% of new users have interacted with ==Aurora protocol==. This number is much higher than other protocols.
5. The most action of new users was draw. After that it was create_account. Note that these actions are based on the number of transactions registered in the network.