Task: Data-transform-reshape (source dataset: Auto-Tables)

Given a table, predict what python pandas transformation may be needed on the given input table. Valid choices for transformation include: {"stack", "wide_to_long", "transpose", "pivot", "explode", "ffill", "subtitles"}. Note that each of these is a common Python Pandas operator. Some transformations can have parameters. Each transformation and its parameters are describe as follows.
 
- stack: collapse homogeneous cols into rows.
@param (int): stack_start_idx: zero-based starting column index of the homogeneous column-group.
@param (int): stack_end_idx: zero-based ending column index of the homogeneous column-group.
 
- wide_to_long: collapse repeating col-groups into rows.
@param (int): wide_to_long_start_idx: zero-based starting column index of the repeating col-groups.
@param (int): wide_to_long_end_idx: zero-based ending column index of the repeating col-groups.
 
- transpose: convert rows to columns and vice versa.
 
- pivot: pivot repeating row-groups into cols.
@param (int): pivot_row_frequency: frequency of repeating row-groups.
 
- ffill: fill structurally empty cells in tables.
@param (int): ffill_end_idx: zero-based ending column index of the columns to be filled.
 
- explode: convert composite cells into atomic values
@param (int): explode_column_idx: zero-based column index of the column to be exploded.
 
- subtitle: convert table subtitles into a column.
 
OUTPUT the predicted transformation name along with its parameters for the given INPUT table in a JSON, e.g., {"transformation": "stack", "stack_start_idx": 1, "stack_end_idx": 5}. If the input table needs multi-step transformations (e.g, ffill followed by stack), list JSON of each transformation sequentially in a list, e.g., [{"transformation": "ffill", "ffill_end_idx": 1}, {"transformation": "stack", "stack_start_idx": 1, "stack_end_idx": 5}]. No explanation is needed.

## Input:
| Merit Quadrant Plans                                  | Provost's plan   | Committee Plan A   | Committee Plan B   | Committee Plan C   | Committee Plan D   | Committee Plan E   | Committee Plan F   | Committee Plan G   |
|:------------------------------------------------------|:-----------------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|
| Salary Compression                                    | compression      | no compression     | no compression     | no compression     | no compression     | no compression     | no compression     | no compression     |
| Relevance of the Adjusted Rubric to the Percent Raise | 0.76             | 0.42               | 1                  | 0.14               | 0.45               | 0.68               | 0.15               | 0.69               |
| Perverse Incentive #1 (the evil 2)                    | 0                | 0                  | 0                  | 0                  | 0                  | 0                  | 0                  | 0                  |
| Perverse Incentive #2 (above 2)                       | 0                | 0                  | 0                  | 0                  | 0                  | 0                  | 0                  | 0                  |
| Proportionality                                       | Highly Skewed    | Appropriate        | Appropriate        | Appropriate        | Highly Skewed      | Appropriate        | Appropriate        | Highly Skewed      |
| Rubric Manipulation Pressure                          | Downward         | Upward             | Insignificant      | Upward             | Upward             | Insignificant      | Upward             | Insignificant      |
| Collaboration and Mentoring within Departments        | Discouraged      | Neither            | Neither            | Neither            | Discouraged        | Neither            | Neither            | Discouraged        |

## Output:


source: excel_file
label: transpose