Data
Indian-card-payment-data-set

Indian-card-payment-data-set

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context The card payments data is published by the Reserve Bank of India on a monthly basis. The statistics cover the methods of payment used in retail transactions and ATM transactions in India. It constitutes payments via debit cards, credit cards, ATMs etc, . It can can be used to check trend of card based payment in India. Content The data contains monthly statistics of the following information from Apr'2011 to Aug'2019 Number of ATM deployed on site by the bank. Number of ATM deployed off site by the bank. Number of POS deployed online by the bank Number of POS deployed offline by the bank Total number of credit cards issued outstanding (after adjusting the number of cards withdrawan/cancelled). Total number of financial transactions done by the credit card issued by the bank at ATMs Total number of financial transactions done by the credit card issued by the bank at POS terminals Total value of financial transactions done by the credit card issued by the bank at ATMs Total value of financial transactions done by the credit card issued by the bank at POS terminals. Total number of debit cards issued outstanding (after adjusting the number of cards withdrawan/cancelled). Total number of financial transactions done by the debit card issued by the bank at ATMs Total number of financial transactions done by the debit card issued by the bank at POS terminals Total value of financial transactions done by the debit card issued by the bank at ATMs Total value of financial transactions done by the debit card issued by the bank at POS terminals. Acknowledgements The data is scraped from RBI monthly statistics https://www.rbi.org.in/scripts/ATMView.aspx More details on how this data is collected and cleaned is documented in this kernel https://www.kaggle.com/karvalo/indian-card-payment-data-gathering-and-analysis

20 features

monthstring12 unique values
0 missing
yearnumeric9 unique values
0 missing
month_numbernumeric12 unique values
0 missing
start_datestring100 unique values
0 missing
end_datestring100 unique values
0 missing
bank_namestring154 unique values
0 missing
no_atms_on_sitenumeric2372 unique values
0 missing
no_atms_off_sitenumeric1886 unique values
0 missing
no_pos_on_linenumeric3320 unique values
0 missing
no_pos_off_linenumeric200 unique values
1 missing
no_credit_cardsnumeric2955 unique values
3 missing
no_credit_card_atm_txnnumeric2522 unique values
0 missing
no_credit_card_pos_txnnumeric2975 unique values
0 missing
no_credit_card_atm_txn_value_in_mnnumeric2585 unique values
0 missing
no_credit_card_pos_txn_value_in_mnnumeric2938 unique values
0 missing
no_debit_cardsnumeric5249 unique values
0 missing
no_debit_card_atm_txnnumeric5245 unique values
0 missing
no_debit_card_pos_txnnumeric5231 unique values
0 missing
no_debit_card_atm_txn_value_in_mnnumeric5300 unique values
0 missing
no_debit_card_pos_txn_value_in_mnnumeric5193 unique values
0 missing

19 properties

5592
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4
Number of missing values in the dataset.
4
Number of instances with at least one value missing.
16
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
80
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0.07
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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