In the previous week, I analysed the distribution of LUNA amongst all the wallets, in this dashboard. In this dashboard, I will segregate wallets that have transacted in the past 90 days, and hence can be considered as active, from wallets that have not. Once again we will analyse the distribution of wealth amongst these two groups of wallets.

Once again, we will use the Lorenz distribution of visualize the difference. We will obtain activity data using terra.msgs table. We will track the sender value embedded in the message being sent, there by tracking a users interactions. Then the curated terra.daily_balances table can be used to obtain the balances of these addresses.

How to read the Lorenz Distribution ?

1. x-axis shows the percent of wallets
2. y-axis shows the percent of wealth, which in our case is LUNA in wallet
3. So point (x,y) on the graph will denote the bottom x percent of wallets holding y percent of LUNA in wallets
4. Subtracting the x from 100 and y from 100 will give us the 100-x top percent of wallets holding 100-y percent of LUNA in wallets.

We will plot for both active and inactive users and then try pointing out the differences if any.

• In case of active wallets, the top 1% hold 90 percent of the LUNA in consideration
• In case of in-active wallets, the top 1% hold over 96% of LUNA considered
• Active wallets are slightly more decentralized
• In-active wallets could belong to ICO investors, whose tokens are vested and locked.