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added info about held roles

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WillRuddick 2020-04-19 15:15:59 +03:00 committed by GitHub
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TransactionDatasets.md
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@ -17,7 +17,7 @@ The Transaction csv fields:
1. id - internal transaction ID number 1. id - internal transaction ID number
1. timeset - date and time of transaction 1. timeset - date and time of transaction
1. transfer_subtype - internal typing: DISBURSMENT = from Grassroots Economics, RECLEMATION = Back to GE, STANDARD = a trade between users, AGENT = when a group account is cashing out 1. transfer_subtype - internal typing: DISBURSMENT = from Grassroots Economics, RECLEMATION = Back to GE, STANDARD = a trade between users, AGENT = when a group account is cashing out (see held_roles) below
1. transfer_use - The category the sender marked the transaction as - used for 'confidence' later for the user category - note this will be changed to boolean 1. transfer_use - The category the sender marked the transaction as - used for 'confidence' later for the user category - note this will be changed to boolean
1. tx_hash - hashed transaction address on blockchain 1. tx_hash - hashed transaction address on blockchain
1. source - wallet ID of sender 1. source - wallet ID of sender
@ -41,7 +41,8 @@ The user summary csv fields:
1. old_POA__blockchain_address - Wallet ID on POA Blockchain if they had one 1. old_POA__blockchain_address - Wallet ID on POA Blockchain if they had one
1. comm_tkn - Their token name (each user only has 1 token) currenlty only Sarafu 1. comm_tkn - Their token name (each user only has 1 token) currenlty only Sarafu
1. bal - current balance of [comm_tkn] as of file date 1. bal - current balance of [comm_tkn] as of file date
1. location - User input (village name) 1. location - User input (village name)
1. held_roles - Standard transactions are between Beneficiaries, anything to an Admin is a Reclemation or from and Admin is a Disbursment and anything to a Agent is a Agent_out
1. gender 1. gender
1. business_type - Input by GE staff based on what the users sell 1. business_type - Input by GE staff based on what the users sell
1. ovol_in - total number of tokens that came into this account from non-STANDARD transactions 1. ovol_in - total number of tokens that came into this account from non-STANDARD transactions