grassrootseconomics/cic-docs
5
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
f7441e35bc
cic-docs/TransactionDatasets.md
Will Ruddick b139442aea updated
2021-01-19 07:06:20 +00:00

5.3 KiB
Raw Blame History

TransactionDatasets

Data Sets from Blockchain Transactions and User Meta Data found at grassecon.org/research in csv format and also shown on dashboard.sarafu.network

Datasets prior to 2020 are pulled from the POA blockchain for each user ex. https://blockscout.com/poa/core/address/0xcb55fc893000a984a5ad73011f93d1540a5f0895/tokens As well as user generated data and field surveys collected in Kenya. Fields described below.

Datasets Starting 2020 are pulled from the xDAI blockchain for each user ex. https://blockscout.com/poa/core/address/0xcb55fc893000a984a5ad73011f93d1540a5f0895/tokens As well as user generated data and field surveys collected in Kenya. Fields described below.

Brief description: Using a simple feature phone interface with USSD each user (people living below the poverty line in Kenya) starts with an allottment of initial tokens and adverstises what they sell to neighbors and on a digital market place avalaible on the same interface (USSD). There are no transaction fees. The tokens are used often as a top-up to missing Kenyan shillings. Pre 2020 - each user only has one token assigned to them by GE based on where they live. Post 2020 all users moved to the Sarafu token while we prepare for user generated tokens again. Pre 2020 with multiple tokens - When a user sends a token to another user that holds a different token a conversion is made automatically after receipt. This conversion uses a bonding curve (based on the Bancor Protocol) to adjust the token prices relative to eachother. Conversions can be seen as transactions to a contract address then that contract address sending the new token to the user. In 2020 the Sarafu token which all users held is considered ~1:1 with the national currency. For more information please contact us https://www.grassrootseconomics.org/contact

Post 2020 xDAI data (current) The Transaction csv fields:

  1. id - internal transaction ID number
  2. timeset - date and time of transaction
  3. transfer_subtype - internal typing: DISBURSMENT = from Grassroots Economics Foundation, RECLAMATION = Back to GE, STANDARD = a trade between users, AGENT = when a group account is cashing out (see held_roles) below
  4. source - wallet ID of sender
  5. target - wallet ID of recipent
  6. token_name - the token that was traded
  7. token_address - the blockchain address of token that was traded
  8. weight - How many tokens were traded

The user summary csv fields:

  1. id - Internal user id number
  2. start - day and time of first transaction (when the user account was setup)
  3. xDAI_blockchain_address - Wallet ID on POA xDAI Blockchain
  4. old_POA__blockchain_address - Wallet ID on the older POA Blockchain (pre 2020) if they had one
  5. final_bal - current balance of Sarafu as of file date
  6. area_name - Regional area in Kenya (generalized from private user data)
  7. area_type - Rural, Peri urban or Urban (generalized from private user data)
  8. held_roles - Standard transactions are between Beneficiaries, anything to an Admin is a Reclamation or from and Admin is a Disbursment and anything to a Agent is a Agent_out
  9. gender - user input gender
  10. business_type - Input by GE staff based on what the users sell
  11. ovol_in - total number of tokens that came into this account from non-STANDARD transactions
  12. ovol_out - total number of tokens that left this account from non-STANDARD transactions
  13. otxns_in - number of transactions incomming from non-STANDARD transactions
  14. otxns_out
  15. ounique_in - number of uniquie transactions incomming from non-STANDARD transactions
  16. ounique_out
  17. svol_in - total number of tokens that came into this account from STANDARD transactions
  18. svol_out
  19. stxns_in - number of transactions incomming from STANDARD transactions
  20. stxns_out
  21. sunique_in - number of uniquie transactions incomming from STANDARD transactions
  22. sunique_out

Pre 2020 POA The Transaction csv fields:

  1. timeset - date and time of transaction
  2. tx_hash - hashed transaction on blockchain can be found on https://blockscout.com/poa/core/a
  3. source - wallet ID of sender can be found on https://blockscout.com/poa/core/a - which could be a contract (for a conversion)
  4. s_comm_tkn - Short name of Token that the source uses (each user should only have 1 token)
  5. s_gender - From user input
  6. s_location - From user input
  7. s_business_type - Grassroots Economics Staff
  8. s_directory - From user input
  9. target - wallet ID of recipent - which could be a contract (for a conversion)
  10. t_comm_tkn
  11. t_gender
  12. t_location
  13. t_business_type
  14. t_directory
  15. tx_token - the token that was traded
  16. weight - How many tokens were traded
  17. id - test variable

The user summary csv fields:

  1. id - Wallet ID on POA Blockchain - can be found on https://blockscout.com/poa/core/a
  2. comm_tkn - Their token name (each user only has 1 token)
  3. bal - current balance of [comm_tkn] as of file date
  4. location - User input (village name)
  5. gender
  6. business_type - Input by staff based on what they sell
  7. directory - input by user a specific item they sell
  8. vol_trans_in - total number of tokens that came into this account
  9. vol_trans_out
  10. n_trans_in - number of transactions incomming
  11. n_trans_out
  12. n_in_unique - number of uniquie transactions incomming
  13. n_out_unique
  14. start - day and time of first transaction (when the user account was setup)