# Technical Document Extraction: Transition Probabilities Heatmap ## 1. Document Overview This image is a **Transition Probabilities Heatmap**, likely representing a Markov Chain or a state transition model for a software interaction or coding environment. It visualizes the probability of moving from a "Current Action" to a "Next Action." ## 2. Component Isolation ### A. Header * **Title:** Transition Probabilities Heatmap ### B. Main Chart (Heatmap) * **Y-Axis (Current Action):** Contains 14 categories (including start state). * **X-Axis (Next Action):** Contains 14 categories (including end state). * **Right-side Secondary Y-Axis:** Numerical counts representing the total occurrences for each "Current Action" row. * **Color Scale (Legend):** Located at the far right. It is a gradient scale from white (0.0) to dark blue (1.0), representing the probability value. ### C. Data Categories (Labels) The following labels are used for both Current and Next actions (with slight variations for start/end): 1. `<START>` (Current only) 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` 15. `<END>` (Next only) --- ## 3. Data Table Reconstruction The following table transcribes the probability values within the heatmap. The final column "Total Count" is extracted from the right-hand axis. | Current Action | create | edit | exit_cost | find_file | goto | open | pytest | python | scroll_down | scroll_up | search_dir | search_file | submit | <END> | **Total Count** | | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :--- | | **<START>** | 0.65 | 0.00 | 0.00 | 0.16 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.19 | 0.00 | 0.00 | 0.00 | 2214 | | **create** | 0.01 | 0.98 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1959 | | **edit** | 0.03 | 0.51 | 0.02 | 0.01 | 0.01 | 0.03 | 0.00 | 0.33 | 0.00 | 0.00 | 0.01 | 0.01 | 0.04 | 0.00 | 4745 | | **exit_cost** | 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 | 1.00 | 2851 | | **find_file** | 0.01 | 0.01 | 0.00 | 0.21 | 0.00 | 0.62 | 0.00 | 0.00 | 0.00 | 0.00 | 0.13 | 0.00 | 0.00 | 0.00 | 3335 | | **goto** | 0.01 | 0.39 | 0.02 | 0.02 | 0.13 | 0.05 | 0.00 | 0.00 | 0.17 | 0.04 | 0.01 | 0.14 | 0.01 | 0.00 | 15341 | | **open** | 0.01 | 0.25 | 0.01 | 0.03 | 0.09 | 0.06 | 0.00 | 0.01 | 0.18 | 0.00 | 0.02 | 0.35 | 0.00 | 0.00 | 2117 | | **pytest** | 0.11 | 0.30 | 0.04 | 0.12 | 0.05 | 0.14 | 0.05 | 0.02 | 0.00 | 0.00 | 0.11 | 0.04 | 0.02 | 0.00 | 4417 | | **python** | 0.02 | 0.47 | 0.01 | 0.15 | 0.03 | 0.13 | 0.00 | 0.01 | 0.00 | 0.00 | 0.11 | 0.01 | 0.04 | 0.00 | 678 | | **scroll_down** | 0.01 | 0.13 | 0.02 | 0.02 | 0.07 | 0.04 | 0.00 | 0.00 | 0.61 | 0.02 | 0.02 | 0.04 | 0.01 | 0.00 | 1587 | | **scroll_up** | 0.00 | 0.16 | 0.02 | 0.01 | 0.11 | 0.01 | 0.00 | 0.00 | 0.08 | 0.53 | 0.02 | 0.05 | 0.01 | 0.00 | 2358 | | **search_dir** | 0.01 | 0.01 | 0.00 | 0.09 | 0.00 | 0.71 | 0.00 | 0.00 | 0.00 | 0.00 | 0.16 | 0.01 | 0.00 | 0.00 | 610 | | **search_file** | 0.00 | 0.04 | 0.01 | 0.05 | 0.67 | 0.06 | 0.00 | 0.00 | 0.01 | 0.00 | 0.03 | 0.12 | 0.00 | 0.00 | 3888 | | **submit** | 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 | 1.00 | 56 | --- ## 4. Key Trends and Observations ### High Probability Transitions (Dark Blue) * **Terminal Actions:** Both `exit_cost` and `submit` have a **1.00** probability of transitioning to `<END>`, indicating these are final steps in a sequence. * **Creation Flow:** `create` has a **0.98** probability of being followed by `edit`. * **Search Flow:** `search_dir` has a high probability (**0.71**) of being followed by `open`. * **Navigation Flow:** `search_file` frequently leads to `goto` (**0.67**). * **Initial State:** The `<START>` state most frequently leads to `create` (**0.65**). ### Self-Looping/Repetitive Actions * **Scrolling:** `scroll_down` (0.61) and `scroll_up` (0.53) show significant self-transition probabilities, suggesting users often scroll multiple times consecutively. * **Editing:** `edit` has a **0.51** probability of staying in the `edit` state. ### Common Intermediate Actions * **Edit as a Hub:** Many actions have a moderate probability of transitioning to `edit`. For example, `python` (0.47), `goto` (0.39), and `pytest` (0.30) all frequently lead back to editing. ### Data Volume * The action with the highest frequency of occurrence is `goto` with **15,341** instances. * The action with the lowest frequency is `submit` with only **56** instances.

## Heatmap: Transition Probabilities Between Actions ### Overview This heatmap visualizes transition probabilities between sequential actions in a system, likely representing user interactions or workflow steps. The matrix shows the likelihood (0.0–1.0) of transitioning from a "Current Action" (rows) to a "Next Action" (columns). Darker blue shades indicate higher probabilities. ### Components/Axes - **X-axis (Next Action)**: `create`, `edit`, `exit_cost`, `find_file`, `goto`, `open`, `pytest`, `python`, `scroll_down`, `scroll_up`, `search_dir`, `search_file`, `submit`, `<END>` - **Y-axis (Current Action)**: `<START>`, `create`, `edit`, `exit_cost`, `find_file`, `goto`, `open`, `pytest`, `python`, `scroll_down`, `scroll_up`, `search_dir`, `search_file`, `submit` - **Color Legend**: Right-side gradient from light blue (0.0) to dark blue (1.0), labeled with numerical values (e.g., 0.0, 0.2, 0.4, 0.6, 0.8, 1.0). ### Detailed Analysis - **<START> Row**: - Highest probability (0.65) to transition to `create`. - Other transitions: `edit` (0.16), `find_file` (0.19), `goto` (0.16). - **`create` Row**: - Dominant transition to `edit` (0.98). - Minor transitions: `python` (0.04), `search_file` (0.01). - **`edit` Row**: - High probability (0.33) to `python`. - Other transitions: `find_file` (0.02), `goto` (0.01), `open` (0.03). - **`find_file` Row**: - Strong transition to `goto` (0.62). - Other transitions: `search_dir` (0.13), `search_file` (0.01). - **`goto` Row**: - High probability (0.39) to `open`. - Other transitions: `search_dir` (0.17), `search_file` (0.04). - **`open` Row**: - Transition to `pytest` (0.18), `python` (0.09), `scroll_down` (0.06). - **`python` Row**: - High probability (0.47) to `submit`. - Other transitions: `find_file` (0.03), `goto` (0.03), `open` (0.13). - **`scroll_down` Row**: - Dominant transition to `scroll_up` (0.61). - **`scroll_up` Row**: - High probability (0.53) to `search_dir`. - **`search_dir` Row**: - Strong transition to `open` (0.71). - **`search_file` Row**: - High probability (0.67) to `submit`. - **`submit` Row**: - Terminal state with 1.0 probability to `<END>`. ### Key Observations 1. **Sequential Flow**: - Diagonal dominance (e.g., `create` → `edit`, `edit` → `python`, `python` → `submit`) suggests a logical workflow. 2. **Frequent Jumps**: - `find_file` → `goto` (0.62) and `search_dir` → `open` (0.71) indicate common shortcuts. 3. **Terminal State**: - `submit` always leads to `<END>` (1.0), confirming process completion. 4. **Low-Probability Transitions**: - Many actions (e.g., `exit_cost`, `pytest`) have sparse transitions, suggesting rare or error states. ### Interpretation This heatmap models user behavior in a task-oriented system, likely a code editor or IDE workflow. High probabilities on the diagonal reflect expected sequences (e.g., creating a file, editing it, running tests, and submitting). Off-diagonal high values (e.g., `find_file` → `goto`) suggest users often skip steps, possibly due to efficiency or frustration. The terminal state (`submit` → `<END>`) ensures process closure. Notably, `search_file` has a 0.67 probability to `submit`, implying users may directly submit after searching, bypassing intermediate steps. The sparse transitions for `exit_cost` and `pytest` suggest these actions are either rare or represent dead ends. The model captures both structured workflows and user-driven deviations, providing insights into optimizing system navigation or identifying pain points in user interactions.