Task: Formula-prediction-context (source dataset: enron-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            | J            | K            | L   |
|---:|:-------------------------------------------|:--------------|:------------|:-------------|:----------------|:----|:----|:---------------------------------|:-------------|:-------------|:-------------|:----|
|  2 |                                            |               |             |              |                 |     |     |                                  |              |              |              |     |
|  3 | Average Daily Transactions for EnronOnline |               |             |              |                 |     |     |                                  |              |              |              |     |
|  4 | Week of April 23rd to April 27th           |               |             |              |                 |     |     | Week of April 23rd to April 27th |              |              |              |     |
|  5 |                                            |               |             |              |                 |     |     |                                  |              |              |              |     |
|  6 | Commodity                                  | Transactions  | Volume      | Value (USD)  | Unit Of Measure |     |     | Commodity                        | Transactions | Volume       | Value        |     |
|  7 | US Fin Gas                                 | 1074.8        | 395348621.8 | 1642985488.0 | MMBtu           |     |     | US Fin Gas                       | 5374.0       | 1976743109.0 | 8214927440.0 |     |
|  8 | US Phy Gas                                 | 1890.6        | 46709571.6  | 116252155.4  | MMBtu           |     |     | US Phy Gas                       | 9453.0       | 233547858.0  | 581260777.0  |     |
|  9 | Canadian Fin Gas                           | 10.6          | 7179400.0   | 8378326.8    | MMBtu           |     |     | Canadian Fin Gas                 | 53.0         | 35897000.0   | 41891634.0   |     |
| 10 | Canadian Phy Gas                           | 282.0         | 12567117.2  | 39754497.6   | MMBtu           |     |     | Canadian Phy Gas                 | 1410.0       | 62835586.0   | 198772488.0  |     |
| 11 | UK Fin Gas                                 | 1.0           | 92000.0     | 2948600.0    | MMBtu           |     |     | UK Fin Gas                       | 2.0          | 460000.0     | 14743000.0   |     |
| 12 | UK Phy Gas                                 | [Target Cell] | 17069545.0  | 57233385.4   | MMBtu           |     |     | UK Phy Gas                       | 534.0        | 85347725.0   | 286166927.0  |     |
| 13 | Worldwide Fin Gas                          | 1085.8        | 402620021.8 | 1651658674.8 | MMBtu           |     |     | Worldwide Fin Gas                | 5429.0       | 2013100109.0 | 8258293374.0 |     |
| 14 | Worldwide Phy Gas                          | 2287.8        | 76840233.8  | 214871358.4  | MMBtu           |     |     | Worldwide Phy Gas                | 11439.0      | 384201169.0  | 1074356792.0 |     |
| 15 | Worldwide Phy and Fin Gas                  | 3373.6        | 479460255.6 | 1866530033.2 | MMBtu           |     |     | Worldwide Phy and Fin Gas        | 16868.0      | 2397301278.0 | 9332650166.0 |     |
| 16 |                                            |               |             |              |                 |     |     |                                  |              |              |              |     |
| 17 | Average Daily Gas Transactions             | 3373.6        | 479460255.6 | 1866530033.2 |                 |     |     |                                  |              |              |              |     |
| 18 |                                            |               |             |              |                 |     |     |                                  |              |              |              |     |
| 19 | Commodity                                  | Transactions  | Volume      | Value (USD)  | Unit Of Measure |     |     | Commodity                        | Transactions | Volume       | Value        |     |
| 20 | US Fin Power                               | 56.2          | 596814.0    | 27436461.0   | MWh             |     |     | US Fin Power                     | 281.0        | 2984070.0    | 137182305.0  |     |
| 21 | US Phy Power                               | 565.2         | 5505007.2   | 432741490.4  | MWh             |     |     | US Phy Power                     | 2826.0       | 27525036.0   | 2163707452.0 |     |
| 22 | UK Fin Power                               | 0.0           | 0.0         | 0.0          | MWh             |     |     | UK Fin Power                     |              |              | 0.0          |     |



min_row: 2
max_row: 22
min_col: 1
max_col: 12
target_cell_row_idx: 12
target_cell_col_idx: 2
target_cell_value: 106.8
formula: =+I12/$I$1