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Parse bank statements in CSV format, correct the columns containing the description etc by merging, each statement line will be captured into a custom python object, and then these objects will be written to HDF5 file. Relevant fields will be used to identify the transaction such that it can be assigned appropriate classification tags, e.g property identity, expense/income, expense type. Query functions will be provided so that reports can be generated from the data in the HDF5 file,e.g all transactions between given date range with tags, propertyID="property1" & transactionType="expense" & expenseType="R&M", or propertyID="property2" & transactionType="income". Initially these reports will be text based only, later may add graphical output.