Customer Initiated UPI Transactions
UPI transaction from April'21 to Jun'23
@kaggle.rahulharinath_upi_transactions_in_terms_of_value
UPI transaction from April'21 to Jun'23
@kaggle.rahulharinath_upi_transactions_in_terms_of_value
We all know that the volume of UPI transactions is skyrocketing in India. I wanted to know the market share of UPI apps in terms of only the customer initiated transactions. I have taken this from the NPCI website and planning to update it monthly.
CREATE TABLE customer_initiated_transactions_upi (
"application_name" VARCHAR,
"jun_23_volume_mn" DOUBLE -- Jun\u002723 Volume (Mn),
"jun_23_value_cr" DOUBLE -- Jun\u002723 Value (Cr),
"may_23_volume_mn" DOUBLE -- May\u002723 Volume (Mn),
"may_23_value_cr" DOUBLE -- May\u002723 Value (Cr),
"apr_23_volume_mn" DOUBLE -- Apr\u002723 Volume (Mn),
"apr_23_value_cr" DOUBLE -- Apr\u002723 Value (Cr),
"mar_23_volume_mn" DOUBLE -- Mar\u002723 Volume (Mn),
"mar_23_value_cr" DOUBLE -- Mar\u002723 Value (Cr),
"feb_23_volume_mn" DOUBLE -- Feb\u002723 Volume (Mn),
"feb_23_value_cr" DOUBLE -- Feb\u002723 Value (Cr),
"jan_23_volume_mn" DOUBLE -- Jan\u002723 Volume (Mn),
"jan_23_value_cr" DOUBLE -- Jan\u002723 Value (Cr),
"dec_22_volume_mn" DOUBLE -- Dec\u002722 Volume (Mn),
"dec_22_value_cr" DOUBLE -- Dec\u002722 Value (Cr),
"nov_22_volume_mn" DOUBLE -- Nov\u002722 Volume (Mn),
"nov_22_value_cr" DOUBLE -- Nov\u002722 Value (Cr),
"oct_22_volume_mn" DOUBLE -- Oct\u002722 Volume (Mn),
"oct_22_value_cr" DOUBLE -- Oct\u002722 Value (Cr),
"sep_22_volume_mn" DOUBLE -- Sep\u002722 Volume (Mn),
"sep_22_value_cr" DOUBLE -- Sep\u002722 Value (Cr),
"aug_22_volume_mn" DOUBLE -- Aug\u002722 Volume (Mn),
"aug_22_value_cr" DOUBLE -- Aug\u002722 Value (Cr),
"jul_22_volume_mn" DOUBLE -- Jul\u002722 Volume (Mn),
"jul_22_value_cr" DOUBLE -- Jul\u002722 Value (Cr),
"jun_22_volume_mn" DOUBLE -- Jun\u002722 Volume (Mn),
"jun_22_value_cr" DOUBLE -- Jun\u002722 Value (Cr),
"may_22_volume_mn" DOUBLE -- May\u002722 Volume (Mn),
"may_22_value_cr" DOUBLE -- May\u002722 Value (Cr),
"apr_22_volume_mn" DOUBLE -- Apr\u002722 Volume (Mn),
"apr_22_value_cr" DOUBLE -- Apr\u002722 Value (Cr),
"mar_22_volume_mn" DOUBLE -- Mar\u002722 Volume (Mn),
"mar_22_value_cr" DOUBLE -- Mar\u002722 Value (Cr),
"feb_22_volume_mn" DOUBLE -- Feb\u002722 Volume (Mn),
"feb_22_value_cr" DOUBLE -- Feb\u002722 Value (Cr),
"jan_22_volume_mn" DOUBLE -- Jan\u002722 Volume (Mn),
"jan_22_value_cr" DOUBLE -- Jan\u002722 Value (Cr),
"dec_21_volume_mn" DOUBLE -- Dec\u002721 Volume (Mn),
"dec_21_value_cr" DOUBLE -- Dec\u002721 Value (Cr),
"nov_21_volume_mn" DOUBLE -- Nov\u002721 Volume (Mn),
"nov_21_value_cr" DOUBLE -- Nov\u002721 Value (Cr),
"oct_21_volume_mn" DOUBLE -- Oct\u002721 Volume (Mn),
"oct_21_value_cr" DOUBLE -- Oct\u002721 Value (Cr),
"sep_21_volume_mn" DOUBLE -- Sep\u002721 Volume (Mn),
"sep_21_value_cr" DOUBLE -- Sep\u002721 Value (Cr),
"aug_21_volume_mn" DOUBLE -- Aug\u002721 Volume (Mn),
"aug_21_value_cr" DOUBLE -- Aug\u002721 Value (Cr),
"july_21_volume_mn" DOUBLE -- July\u002721 Volume (Mn),
"july_21_value_cr" DOUBLE -- July\u002721 Value (Cr),
"june_21_volume_mn" DOUBLE -- June\u002721 Volume (Mn),
"june_21_value_cr" DOUBLE -- June\u002721 Value (Cr),
"may_21_volume_mn" DOUBLE -- May\u002721 Volume (Mn),
"may_21_value_cr" DOUBLE -- May\u002721 Value (Cr),
"april_21_volume_mn" DOUBLE -- April\u002721 Volume (Mn),
"april_21_value_cr" DOUBLE -- April\u002721 Value (Cr)
);
Anyone who has the link will be able to view this.