Reconciliation Statement | Remarks | ||
DATE | ITEM DESCRIPTION | AMOUNT | |
12/31 | Book Balance | 37219.64 | |
12/4 | O/s Check 2160 | 758.02 | |
12/9 | Check 2163 (Wrong) | 1206.88 | |
12/9 | Check 2163 (Correct) | -2106.88 | |
12/13 | Check 2168 | -0.04 | Difference as per Bank |
12/26 | O/s Check 2180 (Wrong) | -255.77 | Added, but it should be deducted, so rectified the addition |
12/26 | O/s Check 2180 (Correct) | -255.77 | After correction, it should be deducted |
12/27 | O/s Check 2181 | 500.00 | |
12/28 | O/s Check 2182 | 67.34 | |
12/28 | O/s Check 2183 | 480.25 | |
12/30 | O/s Check 2184 | 1300.00 | |
12/31 | Deposit | -13545.00 | |
12/31 | Monthly Fee | -75.00 | |
Bank Statement Balance | 25293.67 |
ABC Company Checking DATE BALANCE 12/1 12/2 12/3 124 1215 1216 1217 12/9 12/9 12/10 12/11...
ABC Company Checking DATE BALANCE 12/1 12/2 12/3 124 1215 1216 1217 12/9 12/9 12/10 12/11 12/12 12/13 12/14 18 19 December DEPOSIT/ (CHECK) Beginning Balance: 2157 (175.29) 2158 (759.36) 2159 (1,368.73) 2160 (758.02) 2161 (675.16) 2162 (10,009 28) 28,745.12 2163 (1.206.38) 2164 (11,733.34) 2165 (367.01) 2166 (893.70) 2167 (1.105.50) 2168 (1,381.56) 2169 (1,050.79) 2170 (889.99) 2171 (429.42) 20,158.45 2172 (651.25) 2173 (819.18) 2174 (1,231.91) 2175 (34.34) 2176 (1,27623) 2177 (763.82) 2178 (755.91) 2179 (435.14) 2180 255.77 2181 (500.00) 2182...
Python Pandas, Series and DataFrame Question (NO Loops, No If Statements, No List Comprehensions) The file bank.csv contains data about bank customers. The last column ('Personal Loan') indicates whether or not the customer was approved for a personal loan or not. Write a function named loan_by_zip that accepts 3 parameters: a file name, a minimum number of records, and a percentage approval rate. The function should return a DataFrame of those zip codes for which we meet the minimum number...