https://github.com/rushilsharma1/financialdataset_frauddetection_analysis
Analysis of the fraud detection from the financial dataset using sql workbench and command line
https://github.com/rushilsharma1/financialdataset_frauddetection_analysis
command-line dataanalysis datascience insights sql sqlquery sqlworkbench
Last synced: 4 months ago
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Analysis of the fraud detection from the financial dataset using sql workbench and command line
- Host: GitHub
- URL: https://github.com/rushilsharma1/financialdataset_frauddetection_analysis
- Owner: rushilsharma1
- Created: 2024-09-14T18:22:31.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-26T15:52:53.000Z (almost 2 years ago)
- Last Synced: 2025-01-05T16:09:44.780Z (over 1 year ago)
- Topics: command-line, dataanalysis, datascience, insights, sql, sqlquery, sqlworkbench
- Homepage:
- Size: 926 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# FinancialDataset_FraudDetection_Analysis
IN MQL 8.0 COMMAND LINE
LOAD DATA INFILE "D:/MYSQL/Bank data set/PS_20174392719_1491204439457_log.csv" INTO TABLE transactions FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n' IGNORE 1 ROWS;
use bank;
CREATE TABLE transactions ( step INT, type VARCHAR(20), amount DECIMAL(15,2), nameOrig VARCHAR(20), oldbalanceOrg DECIMAL(15,2), newbalanceOrig DECIMAL(15,2), nameDest VARCHAR(20), oldbalanceDest DECIMAL(15,2), newbalanceDest DECIMAL(15,2), isFraud TINYINT, isFlaggedFraud TINYINT );