Task: Formula-prediction-context (source dataset: cisco-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A        | B   | C                   | D   | E                                        | F             | G   | H                                                                                                                                                                                                                           | I                                                              |
|---:|:---------|:----|:--------------------|:----|:-----------------------------------------|:--------------|:----|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------|
| 18 | Part III | 16  | Python Fundementals | 7   | Conditionals Part I IF                   | 24            | mp4 | If, If else, chained conditionals, nested conditionals,working with booleans                                                                                                                                                | Example_4_Nested_conditions.py                                 |
| 19 | Part III | 17  | Python Fundementals | 8   | Conditionals Part II - for while         | 30            | mp4 | Iterating over data structures.python range().for statement, 9 examples of conditionals                                                                                                                                     | ALL_NINE_EXAMPLES.py, while_example.py                         |
| 20 | Part III | 18  | Python Fundementals | 9   | Dictionaries Part I                      | 37            | mp4 | Dictionary characteristics; assign/concatenate/replicate/indexing/slicing/membership/iterating ove dict/type casting. Built-in dict methods                                                                                 | list_versus_dict.py, phonedict.py                              |
| 21 | Part III | 19  | Python Fundementals | 10  | Dictionaries Part II                     | 24            | mp4 | Exception Handling. Try Except for files and dictionaries. Dictionary built-in tools.  Tools for exception handling(in,.has_key(),.get(),try_except                                                                         | try_except.py,    hamburger6.py,              memberfailure.py |
| 22 | Part III | 20  | Python Fundementals | 11  | Putting it All Together Kitchen Sink     | 36            | mp4 | Pulling python flow control and data types together;build dictionary containing numeric and sequence data types(tuples, lists,etc).Python built-in methods for dictionaries, lists, etc. Using for, while and if statements | kitchen_sink.py, kitchen_sink_step.py                          |
| 23 | Part III | 21  | Python Fundementals | 12  | Functions Part I                         | 15            | mp4 | Defining functions in python; def, indentation, code block,etc.                                                                                                                                                             | func1.py,func2.py                                              |
| 24 | Part III | 22  | Python Fundementals | 13  | Functions Part II                        | 31            | mp4 | Python namespaces and scope. LEGB rule, shadow variables;'autopsy on namespace failure. global(),locals() methods. Import statement,__name__ variable                                                                       | test1.py,test2.py,func3.py,func4.py                            |
| 25 | Part III | 23  | Python Fundementals | 14  | Functions Part III                       | 24            | mp4 | Organizing functions in a program. Purpose of the __name__ == '__main__' if condition. Walk through of the python stack                                                                                                     |                                                                |
| 26 | Part III | 24  | Python Fundementals | 15  | Functions Part IV                        | 28            | mp4 | Passing & returning values to and from functions - Required,keyword, default, *args, **kwargs                                                                                                                               | arguments.py, arguments_returns.py                             |
| 27 | Part III | 25  | Python Fundementals | 16  | Functions Part V Putting it All Together | 32            | mp4 | Passing arguments by Value and Reference. ID() method                                                                                                                                                                       | test_value.py, test_value2.py,                                 |
| 28 |          |     |                     |     |                                          | [Target Cell] |     |                                                                                                                                                                                                                             |                                                                |
| 29 |          |     |                     |     |                                          |               |     |                                                                                                                                                                                                                             |                                                                |



min_row: 18
max_row: 29
min_col: 1
max_col: 9
target_cell_row_idx: 28
target_cell_col_idx: 6
target_cell_value: 9.683333333333334
formula: =SUM(F3:F27)/60