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Feature docs control (#135)
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* Formated and refactored

* Added docs for Control
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canimus authored Dec 29, 2023
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Expand Up @@ -21,7 +21,7 @@ Provider | API | Versions
![snowflake](logos/snowflake.svg?raw=true "Snowpark DataFrame API")| `snowpark` | `1.4.0`
![databricks](logos/databricks.svg?raw=true "PySpark DataFrame API")| `pyspark` | `3.4.0`, `3.3.x`, `3.2.x`
![bigquery](logos/bigquery.png?raw=true "BigQuery Client API")| `bigquery` | `3.4.1`
![pandas](logos/pandas.svg?raw=true "Pandas DataFrame API")| `pandas`| `2.0.1`, `1.5.x`, `1.4.x`
![pandas](logos/pandas.svg?raw=true "Pandas DataFrame API")| `pandas`| `2.0.2`, `1.5.x`, `1.4.x`
![duckdb](logos/duckdb.png?raw=true "DuckDB API")|`duckdb` | `0.7.1`, `0.8.0`
![polars](logos/polars.svg?raw=true "Polars API")|`polars`| `0.19.6`

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```

### Controls
`[2023-12-28]`__New feature!__ to simplify the entire validation of a dataframe in a particular dimension.
```python
import pandas as pd
from cuallee import Control
df = pd.DataFrame({"X":[1,2,3], "Y": [10,20,30]})
# Checks all columns in dataframe for using is_complete check
Control.completeness(df)
```

### `cuallee` __VS__ `pydeequ`
In the `test` folder there are `docker` containers with the requirements to match the tests. Also a `perftest.py` available at the root folder for interests.

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