Baselight

Metaverse Financial Transactions Dataset

Anomaly detection and fraud analysis in metaverse transactions

@kaggle.faizaniftikharjanjua_metaverse_financial_transactions_dataset

Metaverse Transactions Dataset
@kaggle.faizaniftikharjanjua_metaverse_financial_transactions_dataset.metaverse_transactions_dataset

  • 2.1 MB
  • 78600 rows
  • 14 columns
timestamp

Timestamp

hour_of_day

Hour Of Day

sending_address

Sending Address

receiving_address

Receiving Address

amount

Amount

transaction_type

Transaction Type

location_region

Location Region

ip_prefix

Ip Prefix

login_frequency

Login Frequency

session_duration

Session Duration

purchase_pattern

Purchase Pattern

age_group

Age Group

risk_score

Risk Score

anomaly

Anomaly

Mon Apr 11 2022 12:47:27 GMT+0000 (Coordinated Universal Time)120x9d32d0bf2c00f41ce7ca01b66e174cc4dcb0c1da0x39f82e1c09bc6d7baccc1e79e5621ff812f50572796.9492059264745transferEurope192348focusedestablished18.75low_risk
Tue Jun 14 2022 19:12:46 GMT+0000 (Coordinated Universal Time)190xd6e251c23cbf52dbd472f079147873e655d8096f0x51e8fbe24f124e0e30a614e14401b9bbfed5384c0.01purchaseSouth America172561focusedestablished25low_risk
Tue Jan 18 2022 16:26:59 GMT+0000 (Coordinated Universal Time)160x2e0925b922fed01f6a85d213ae2718f54b8ca3050x52c7911879f783d590af45bda0c0ef2b8536706f778.197389885983purchaseAsia192.168374focusedestablished31.25low_risk
Wed Jun 15 2022 09:20:04 GMT+0000 (Coordinated Universal Time)90x93efefc25fcaf31d7695f28018d7a11ece55457f0x8ac3b7bd531b3a833032f07d4e47c7af6ea7bace300.8383577068122transferSouth America1728111high_valueveteran36.75low_risk
Fri Feb 18 2022 14:35:30 GMT+0000 (Coordinated Universal Time)140xad3b8de45d63f5cce28aef9a82cf30c397c6ceb90x6fdc047c2391615b3facd79b4588c7e9106e49f2775.5693437525714saleAfrica172.166100high_valueveteran62.5moderate_risk
Tue Apr 05 2022 19:05:44 GMT+0000 (Coordinated Universal Time)190xa99b9a7f5c5dd37429771efd3b93c6fbe1ab29360x5a78c88c5fc1e9b512f6c64e266b46a9db0a7238590.25398234613transferAfrica192.168466focusedestablished15.75low_risk
Tue Sep 27 2022 18:46:51 GMT+0000 (Coordinated Universal Time)180xcca095ad2d508c200bda1141f783d77c3e6cbb080xb71a4df291ea8e9996a74e77ab63f5abcbfe90f5671.4962455418183saleSouth America1928103high_valueveteran52.5low_risk
Wed Mar 30 2022 19:55:51 GMT+0000 (Coordinated Universal Time)190xe0b340171486b08f0c1f4ac607ed776478cefd2b0x577754308538f4be10a41afb4f8900cd24d7098f800.2089338363055saleSouth America192132randomnew50low_risk
Fri Apr 15 2022 15:10:10 GMT+0000 (Coordinated Universal Time)150xb0b2f6fc707fbb7f9d27a9f4fe0cb0d6b39a01550xd6ba299fdd52f09f01d9648036ca446498c01ac2218.03094416136088transferSouth America192442focusedestablished15low_risk
Sat Feb 26 2022 13:37:34 GMT+0000 (Coordinated Universal Time)130x6ea0e02fb6ee893dc3b70b98df1a48165d28eb090xc28cbdb253f12174f7aa80ff6c6660f2e09397d7134.59537810095418transferEurope172.16379focusedestablished15low_risk

CREATE TABLE metaverse_transactions_dataset (
  "timestamp" TIMESTAMP,
  "hour_of_day" BIGINT,
  "sending_address" VARCHAR,
  "receiving_address" VARCHAR,
  "amount" DOUBLE,
  "transaction_type" VARCHAR,
  "location_region" VARCHAR,
  "ip_prefix" DOUBLE,
  "login_frequency" BIGINT,
  "session_duration" BIGINT,
  "purchase_pattern" VARCHAR,
  "age_group" VARCHAR,
  "risk_score" DOUBLE,
  "anomaly" VARCHAR
);

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