ABC COMPANY | |||
Bank Reconciliation | |||
Dec 31 | |||
Ending Balance Per bank statement | $25,293.67 | Ending Balance Per Company record | $37,219.64 |
Additions: | Additions: | ||
Deposits in transit | $13,545.00 | ||
$38,838.67 | $37,219.64 | ||
Deductions: | Deductions: | ||
Outstanding checks #2160 | $758.02 | Service Charges | $75.00 |
Outstanding checks #2181 | $500.00 | Error in check# 2163 | $900.00 |
Outstanding checks #2182 | $67.34 | (2106.88 - $1,206.88) | |
Outstanding checks #2183 | $480.25 | Error in check# 2167 | $0.04 |
Outstanding checks #2184 | $1,300.00 | Error in check# 2180 | $511.54 |
Bank balance per reconciliation | $35,733.06 | Company balance per reconciliation | $35,733.06 |
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...