Terra ready for export

    I just need to learn how to vercel

    Ideally we would be creating a new Terradash, and that new Terradash would look like this


    As the intro for the previous Terradash, overall info is what greets the user.

    • Transactions
    • Average Transaction Fee per txn per week
    • Total Transaction Fees per week
    • Total number of transactions per week
    • Average transactions per second (TPS) per week
    • Average block time per week
    • Wallets
    • Total number of new wallets per week
    • Total number of active wallets per week
      • Only include senders who initiate transactions
    • Cumulative number of new wallets per week

    Now, the analysis part might not be on the final parts of the finalized dashboard, but id like to think that a complete dashboard would include community driven data & a direct accer to Terra Forums.


    For some Quick Insights

    • A clear dashboard would tell immediately a portion of the active users from the total registered ones. In this case, a weekly active user base of barely less than 3% of its total amount.

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    • There has been two particular big moments in the Terra arriving waves, like the first week following the restarting of the new Terra (u know, after the old one said chao) and the first week in September, with a peak of 29k active users.

    • On a clear dashboard it would be appear that arrival of new users has been declining in the past weeks.

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    And when it comes to

    • It should be readily apparent that while is not on par with its initial waves of daily usage. There are still a lot of transactions, with more than 50k per week.

    • And to move those transactions, the weeks when it has costed more than 0.1 LUNA to effect those are counted by the hand. With usual fee costs being less than 0.1 LUNA.

    And as expected

    • the average fees are directly correlated with the time a transaction take to be processed.

    • With the weeks in which waiting time, but, this does not mean that waiting time predicts total volume paid in transactions.

      • For example, time between blocks has been steadily rising since June, to finally decline at the start of October.
      • This meaning that even if usage network is constant, waiting time is not totally dependent on the congestion of the network.

    This was a quick peek of what should be the end dashboard on its Homepage, designed to clearly show the heartbeat of Terra.

    Method:

    • Unique users were every sender that has transacted at least once inside Terra’s blockchain.

    • Active users were counted considering those who participated in at least one transaction per week

    • New users were narrowed down tracing their first transactions inside Terra’s

    • Weekly Transactions were counted by each distinct tx_id recorded on

      terra.core.fact_transactions

    • Fees were calculated averaging and adding weekly those of each transaction.

    • TPB were calculated counting how many blocks were produced by the minute, and then converting them into a weekly metrics.

    All data was provided by Flipsides’s data repository.

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    Performance

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