The file personnel_data.csv is stored in the local directory, and contains tabular data pertaining to the employees at a London-based business. The table contains column headers First, which gives each employee's first name, Second, which gives each employee's last name, and Time in Employment (Months), which gives the number of months since the employees contract began. Create a Pandas DataFrame pension that contains two columns. The first column should be labelled 'Full', and give both the first and last names of each employee (separated by a space). The second column should be labelled 'Pension Value', and give the total amount of money contributed towards the employee's pension. For each month the employee is employed, 248ドル is contributed towards their pension. You should not include the currency (£) in the data. The rows in the DataFrame should be indexed with integers from zero.

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