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rahulkabir/
financial_data1

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import pandas as pd import random from faker import Faker

Initialize Faker for generating random names and dates

fake = Faker()

Generate data for 1000 transactions

num_records = 1000 data = []

Define possible values for certain fields

transaction_types = ['Sale', 'Expense', 'Refund'] currencies = ['USD', 'EUR', 'GBP', 'CAD'] from datetime import datetime

Fix date parsing issue by using datetime objects directly

start_date = datetime(2023, 1, 1)… See the full description on the dataset page: https://huggingface.co/datasets/rahulkabir/financial_data1.