# Ecology Result #61 — Analysis Report

Generated 2026-09-21 02:38:44 · 1 run(s) · CAT-G Data Analyzer

## 1. alpha diversity (#61)

2026-09-21 02:17:26 · ecology · status: completed

*Alpha-diversity analysis of 60 samples found a mean Shannon index of 2.95.*

| Metric | Value |
|---|---|
| n_rows | 60 |
| derived_dataset_id | 716 |
| group_col | community |

### indices

| richness | shannon | simpson | evenness |
|---|---|---|---|
| 27 | 3.033082 | 0.942367 | 0.920277 |
| 26 | 2.909643 | 0.934102 | 0.89305 |
| 27 | 2.935465 | 0.935769 | 0.890658 |
| 27 | 2.957406 | 0.936869 | 0.897316 |
| 27 | 3.03298 | 0.942592 | 0.920246 |
| 26 | 2.99914 | 0.940032 | 0.920519 |
| 25 | 2.90515 | 0.934618 | 0.902536 |
| 25 | 2.839696 | 0.929321 | 0.882201 |
| 27 | 2.947885 | 0.936538 | 0.894427 |
| 26 | 2.962414 | 0.938766 | 0.909247 |

![alpha index boxplot](data:image/png;base64,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)

*alpha index boxplot*

### Method & Provenance

- **Method:** Ecology — Alpha Diversity
- **Engine:** Python · numpy/scipy 1.17.1
- **Input datasets:** gallery — example_community_matrix.csv
- **Started:** 2026-09-21 02:17:26.280202
- **Permanent link:** https://cat-g-omxpert.wishartlab.com/results/by-token/98ddb301a65940c0adea62e26e8779f3

| Parameter | Value |
|---|---|
| analysis_kind | alpha_diversity |
| group_col | community |

**Command history**

```python
# Alpha Diversity via app.services.ecology_service
```

```python
# diversity indices / distance matrix on community matrix
```