# Theme Analytics Metrics

## Example code

```python
from finter.data import ContentFactory
cf = ContentFactory("kr_stock", 20240101, 20240201)
df = cf.get_df("business-ma")
```

## Metadata

| Valid From | Delivery Schedule  | Time Zone  | Data Frequency |
| ---------- | ------------------ | ---------- | -------------- |
| 2018-01-01 | UTC 10 22 \* \* \* | Asia/Seoul | 1d             |

## Structure

<table data-header-hidden><thead><tr><th width="157"></th><th></th></tr></thead><tbody><tr><td>ma</td><td>7-day moving average of buzz volume in the news sector and blog sector (normalized per 100,000 keyword occurrences)</td></tr><tr><td>score</td><td>Theme score</td></tr><tr><td>z_score</td><td>180-day z_score of buzz volume in the news sector and blog sector (normalized per 100,000 keyword occurrences)</td></tr></tbody></table>

## Item List

### Business Metrics

* `business-ma`
* `business-score`
* `business-z_score`

### Theme Metrics

* `theme-ma`
* `theme-score`
* `theme-z_score`

### Item Metrics

* `item-ma`
* `item-score`
* `item-z_score`


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