What is Base? On February 23, Coinbase, one of the largest cryptocurrency centralize exchanges in the world, announced the testnet launch of its Ethereum layer-2 network, Base. The main goal of Base is to offer a secure, low-cost, and developer-friendly way for anyone to build decentralised apps (DApps) on-chain. Through the launch of its L2, Coinbase aims to bring phase 4 of its roadmap to fruition, which is to onboard one billion or more users into the crypto-economy. For now, Base is an Ethereum L2 that is internally controlled and operated by Coinbase. However, going forward, the plan is to achieve complete decentralisation and interoperability with other blockchain networks.

What are Transaction Fees? Transaction fees are paid when you do an action on a blockchain. Actions can range from simple things such as sending a cryptocurrency or digital asset to someone, to using a DApp to executing a complicated program like taking out a loan. In almost all cases, transaction fees are paid in a blockchain’s native cryptoassetTransaction fees are and have been an essential part of most blockchain systems since their inception.

What is a testnet? A testnet is an instance of a blockchain powered by the same or a newer version of the underlying software, to be used for testing and experimentation without risk to real funds or the main chain. Testnet coins are separate and distinct from the official (mainnet) coins, they don't have value, and can be obtained freely from faucets.

Methodology On this dashboard, I will specifically be analyzing the effects of base testnet transaction fees, on users and transactions. All of the data from this dashboard was gotten from the base.goerli.fact_transactions schema which contains data about base test. Blocktimes (timeframes) are truncated to daily. Note that Görli is the symbol for goerli ether which is the testnet coin of base. Over all, it is important to know that testnet ether might not have value but it is very valuable because of it's scarcity. E.g Most goerli faucets only give out an average amount of 0.05 Görli per day.

• 'Base top transactions fee consumers' is a table that shows addresses / contracts that as a result of a lot of interactions has consumed / guzzled a lot of transaction fee.
• The first thing that is eye catching is the number of transactions that the first address has, over two million and almost getting to three.
• Throughout its life cycle it has guzzled over 668 Görli which is a whole lot compare to others on that list

• In summary, the analysis shows that a few high-value transactions are driving up the max transaction fees there by leading to significant discrepancies among the fee ranges.

• Also, I found out that there is a negative correlation between fees and the number of transactions.

• High fees lead to fewer transactions. This pattern is evident from Feb 26th to March 3rd, where high fees resulted in a drop in transactions. Conversely, from March 4th to March 7th, when fees were lower, more transactions were conducted.

• Higher fees may be linked to certain addresses. As these addresses tend to spend a whole lot more on transactions fees than others.

• The Transactions fee key performace indexes above show a huge gap between the max transaction fees and the mean and average transactions fee. This could indicate that there are a few high-value transactions that are driving up the overall maximum value.
• The daily transactions over transactions fee chart above has an interesting pattern where whenever the transaction fees are high, the number of transactions drops and when transactions are low the number of transactions seem to pick up again. This can be seem throughout the chart but the most recent incident will be from March till date. This correlation might not be 100% but it is surely in play here.
• The daily transactions fees chart confirms my earlier observation of significant discrepancies among the various transaction fee ranges (average, median, and max), as shown on a daily basis this time.

• Daily users ( the addresses / users that trigger the transactions ) over transactions fees chart shows same pattern here where as a result of high fees users don't transactions as much and this can be seen between Feb 26th to March 3rd, where the fee was high, users didn't transact as much. Then comparing that to the date from March 4th to March to March 7th where fees wheren't so high.

• The table above displays the top 20 gas spenders, highlighting a significant difference between the first and second addresses. This suggests that high fees may be attributed to specific addresses, even if they are not among the top 3 transacting wallets. The large gap between the second address and the others also indicates a significant difference in spending, despite being the most transacting wallet on the testnet.
• The chart to the left (Top 20 gas spenders) shows the addresses just discussed above. And the large gap can easily be seen.