📊 Dataset · CSV

violations_report.csv

Name: violations_report.csv
Creator: Mathew K
License: https://creativecommons.org/licenses/by/4.0/

Free CSV dataset “violations_report.csv” (132 rows × 12 columns, 11.8 KB) used in 1 Python lesson, including “Using Python Functions to Automate Financial…

⬇ Download CSV (11.8 KB)

Size11.8 KB
Rows132
Columns12
Used in1 lesson

Preview (first rows)

transaction_id	customer_id	amount	transaction_type	channel	date	meets_minimum	blocked_pos	date_only	min_amt	high_pos	allowed_channel
1	CUST_0103	238.77	Credit	ATM	2024-01-01 00:00:00	True	False	2024-01-01	True	True	False
12	CUST_0088	13.32	Debit	Online	2024-01-01 11:00:00	False	False	2024-01-01	False	True	True
17	CUST_0131	183.98	Credit	ATM	2024-01-01 16:00:00	True	False	2024-01-01	True	True	False
19	CUST_0053	45.23	Debit	Online	2024-01-01 18:00:00	False	False	2024-01-01	False	True	True
32	CUST_0049	48.91	Debit	POS	2024-01-02 07:00:00	False	False	2024-01-02	False	True	True
33	CUST_0059	105.12	Credit	ATM	2024-01-02 08:00:00	True	False	2024-01-02	True	True	False
34	CUST_0170	21.67	Credit	ATM	2024-01-02 09:00:00	False	False	2024-01-02	False	True	True
50	CUST_0167	179.84	Credit	ATM	2024-01-03 01:00:00	True	False	2024-01-03	True	True	False

Columns

Column	Type	Example
`transaction_id`	integer	1
`customer_id`	text	CUST_0103
`amount`	decimal	238.77
`transaction_type`	text	Credit
`channel`	text	ATM
`date`	text	2024-01-01 00:00:00
`meets_minimum`	true/false	True
`blocked_pos`	true/false	False
`date_only`	text	2024-01-01
`min_amt`	true/false	True
`high_pos`	true/false	True
`allowed_channel`	true/false	False

Load it in Python

import pandas as pd
df = pd.read_csv("violations_report.csv")
df.head()

violations_report.csv

Preview (first rows)

Columns

Load it in Python

Lessons that use this dataset

Using Python Functions to Automate Financial Rules in Banking and Finance