# Technical Document Extraction: Transition Probabilities Heatmap ## 1. Document Overview This image is a **Heatmap** titled **"Transition Probabilities Heatmap"**. It visualizes the conditional probability of a "Next Action" (x-axis) occurring given a sequence of "Previous 2 Actions" (y-axis). The data represents state transitions in a computational or workflow environment (likely software development or file management). ## 2. Component Isolation ### Header * **Title:** Transition Probabilities Heatmap ### Main Chart Area * **Type:** Heatmap / Transition Matrix. * **Y-Axis Label:** Previous 2 Actions. * **X-Axis Label:** Next Action. * **Color Scale (Legend):** Located on the far right. A vertical gradient bar ranging from **0.0 (White)** to **1.0 (Dark Blue)**. * **Right-side Margin:** Contains a column of integers representing the total count (N) for each row's history. ### Footer * Contains the X-axis labels rotated at a 45-degree angle. --- ## 3. Data Extraction ### Axis Categories **X-Axis (Next Action):** 1. `<END>` 2. `create` 3. `edit` 4. `exit_cost` 5. `find_file` 6. `goto` 7. `open` 8. `pytest` 9. `python` 10. `scroll_down` 11. `scroll_up` 12. `search_dir` 13. `search_file` 14. `submit` **Y-Axis (Previous 2 Actions) & Row Totals:** 1. `<START>, create` (1384) 2. `create, edit` (1658) 3. `edit (2x)` (1880) 4. `edit, python` (1278) 5. `find_file, open` (7777) 6. `goto, edit` (1312) 7. `open, edit` (1438) 8. `open, scroll_down` (2217) 9. `open, search_file` (4298) 10. `python, edit` (2074) 11. `python, find_file` (825) 12. `rm, submit` (1169) 13. `scroll_down (2x)` (662) 14. `search_dir, open` (605) 15. `search_file, goto` (2334) --- ## 4. Transition Probability Matrix (Reconstructed Table) Values represent the probability $P(\text{Next Action} | \text{Previous 2 Actions})$. | Previous 2 Actions | <END> | create | edit | exit_cost | find_file | goto | open | pytest | python | scroll_down | scroll_up | search_dir | search_file | submit | | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | | **<START>, create** | 0.00 | 0.00 | **1.00** | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | **create, edit** | 0.00 | 0.09 | 0.12 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 | **0.73** | 0.00 | 0.00 | 0.02 | 0.00 | 0.01 | | **edit (2x)** | 0.00 | 0.02 | **0.72** | 0.03 | 0.00 | 0.01 | 0.02 | 0.00 | 0.15 | 0.00 | 0.00 | 0.01 | 0.01 | 0.03 | | **edit, python** | 0.00 | 0.02 | **0.48** | 0.01 | 0.15 | 0.03 | 0.12 | 0.00 | 0.01 | 0.00 | 0.00 | 0.12 | 0.01 | 0.04 | | **find_file, open** | 0.00 | 0.02 | 0.19 | 0.00 | 0.04 | 0.08 | 0.04 | 0.00 | 0.00 | 0.18 | 0.01 | 0.01 | **0.42** | 0.00 | | **goto, edit** | 0.00 | 0.06 | **0.38** | 0.01 | 0.01 | 0.05 | 0.03 | 0.00 | **0.31** | 0.01 | 0.01 | 0.01 | 0.02 | 0.10 | | **open, edit** | 0.00 | 0.06 | **0.32** | 0.01 | 0.02 | 0.01 | 0.08 | 0.01 | **0.41** | 0.00 | 0.00 | 0.02 | 0.01 | 0.06 | | **open, scroll_down** | 0.00 | 0.00 | 0.19 | 0.01 | 0.02 | 0.05 | 0.07 | 0.00 | 0.00 | **0.57** | 0.02 | 0.02 | 0.03 | 0.00 | | **open, search_file** | 0.00 | 0.00 | 0.02 | 0.01 | 0.02 | **0.74** | 0.05 | 0.00 | 0.01 | 0.00 | 0.00 | 0.02 | 0.11 | 0.00 | | **python, edit** | 0.00 | 0.00 | **0.34** | 0.01 | 0.01 | 0.00 | 0.05 | 0.00 | **0.57** | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | | **python, find_file** | 0.00 | 0.00 | 0.02 | 0.00 | 0.18 | 0.00 | **0.70** | 0.00 | 0.00 | 0.00 | 0.00 | 0.09 | 0.00 | 0.00 | | **rm, submit** | **1.00** | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | **scroll_down (2x)** | 0.00 | 0.01 | 0.10 | 0.03 | 0.02 | 0.05 | 0.04 | 0.00 | 0.00 | **0.66** | 0.01 | 0.02 | 0.04 | 0.01 | | **search_dir, open** | 0.00 | 0.01 | 0.11 | 0.01 | 0.01 | 0.04 | 0.05 | 0.00 | 0.00 | 0.23 | 0.00 | 0.02 | **0.53** | 0.00 | | **search_file, goto** | 0.00 | 0.01 | **0.36** | 0.01 | 0.02 | 0.11 | 0.05 | 0.00 | 0.00 | 0.17 | 0.04 | 0.02 | 0.19 | 0.01 | --- ## 5. Key Trends and Observations ### Deterministic Transitions (Probability = 1.00) * **Start Sequence:** After `<START>, create`, the next action is always `edit` (1.00). * **End Sequence:** After `rm, submit`, the next action is always `<END>` (1.00). ### High Probability Clusters (Strong Trends) * **Editing Loops:** If the previous actions were `edit (2x)`, there is a 0.72 probability the next action is `edit` again, suggesting a repetitive task. * **Navigation Patterns:** * `open, search_file` is followed by `goto` with a 0.74 probability. * `python, find_file` is followed by `open` with a 0.70 probability. * **Execution Patterns:** * `create, edit` is followed by `python` (0.73), likely indicating a "create-edit-run" cycle. * `python, edit` is followed by `python` (0.57), indicating a "fix-and-run" cycle. ### Low Probability / Sparse Areas * The `<END>` action is almost never reached except through the `rm, submit` sequence. * The `pytest` action has extremely low transition probabilities across all observed histories (mostly 0.00 or 0.01), suggesting it is a rare or specific terminal action not well-captured by these common histories. * The `exit_cost` and `scroll_up` actions also show very low engagement across the board.

## Heatmap: Transition Probabilities Heatmap ### Overview This heatmap visualizes transition probabilities between pairs of actions in a workflow or system. Each cell represents the likelihood of transitioning from a "Previous 2 Actions" (y-axis) to a "Next Action" (x-axis). Darker blue cells indicate higher probabilities, with values ranging from 0.0 to 1.0. ### Components/Axes - **Y-Axis (Previous 2 Actions)**: `<START>`, `create`, `create, edit`, `edit (2x)`, `edit, python`, `find_file, open`, `goto, edit`, `open, edit`, `open, scroll_down`, `open, search_file`, `python, edit`, `python, find_file`, `rm, submit`, `scroll_down (2x)`, `search_dir, open`, `search_file, goto`. - **X-Axis (Next Action)**: `<END>`, `create`, `edit`, `exit_cost`, `find_file`, `goto`, `open`, `pytest`, `python`, `scroll_down`, `scroll_up`, `search_dir`, `search_file`, `submit`. - **Color Legend**: A gradient from light blue (0.0) to dark blue (1.0), labeled on the right axis with values like 0.0, 0.2, 0.4, 0.6, 0.8, 1.0. ### Detailed Analysis - **Key Values**: - `<START> → create`: 1.00 (darkest blue, indicating certainty). - `edit → edit`: 0.72 (high self-transition probability). - `search_dir, open → search_file, goto`: 0.36 (moderate transition). - `python, find_file → python`: 0.18 (low probability). - `rm, submit → <END>`: 1.00 (terminal action). - **Trends**: - **Diagonal Dominance**: High probabilities along the diagonal (e.g., `create → create`, `edit → edit`) suggest habitual or sequential actions. - **Low Off-Diagonal Values**: Most transitions between dissimilar actions (e.g., `python, find_file → python`) have low probabilities (<0.2). - **Clustered Patterns**: Groups like `edit, python` and `search_file, goto` show moderate transitions to related actions (e.g., `edit, python → edit`: 0.48). ### Key Observations 1. **Terminal Actions**: `<START>` and `rm, submit` have 100% certainty for their immediate next actions (`create` and `<END>`, respectively). 2. **Repetition Bias**: Actions like `edit` and `python` frequently repeat (0.72 and 0.57, respectively). 3. **Low-Probability Transitions**: Rare transitions include `python, find_file → python` (0.18) and `search_dir, open → search_dir` (0.11). 4. **Ambiguity in `<END>`**: The `<END>` action only appears as a next action for `rm, submit`, with no reverse transitions. ### Interpretation This heatmap reveals a **strong habitual bias** in action sequences, where users or systems tend to repeat actions (e.g., editing files) rather than switching tasks. The presence of terminal actions (`<START>` and `rm, submit`) suggests a structured workflow with clear entry and exit points. Low probabilities for dissimilar transitions (e.g., `python, find_file → python`) imply that context-switching is uncommon, possibly due to workflow design or user behavior. The absence of reverse transitions for `<END>` highlights its role as a definitive endpoint. The data could inform system optimization by identifying bottlenecks (e.g., low-probability transitions) or reinforcing high-probability paths (e.g., automating repetitive tasks). Outliers like `search_dir, open → search_file, goto` (0.36) suggest potential for improving navigation between related actions.