# Dataset de los RNCs de la DGII de República Dominicana
[](https://pypi.org/project/dgii-rnc/) [](https://www.python.org/downloads/)
 [](./CHANGELOG.md)
Herramienta sencilla para carga el dataset de los RNCs de la DGII.
Puede ser útil para actualizar rápidamente la información en los flujos de trabajo.
Fuente del dataset: [https://www.dgii.gov.do/app/WebApps/Consultas/RNC/DGII_RNC.zip]
## Instalación
```python
>>> pip install dgii-rnc
```
## Dependencias
- Polars
## Modo de Uso
### Cargar dataset de RNCs
```python
>>> from dgii_rnc.dgii_rnc import dgii_handler
>>> import polars as pl
>>> df = dgii_handler.rnc_df()
>>> df.shape
(728522, 7)
>>> df.filter(pl.col("NOMBRE").str.contains("BANCO CENTRAL"))
shape: (4, 7)
+-----------+-------------------------------------------------------------------+----------------------------------+--------------------------------+------------+--------------+--------+
| ID | NOMBRE | NOMBRE_COMERCIAL | CATEGORIA | FECHA | REGIMEN_PAGO | ESTADO |
| --- | --- | --- | --- | --- | --- | --- |
| str | str | str | str | str | str | str |
+========================================================================================================================================================================================+
| 401007551 | BANCO CENTRAL DE LA REPUBLICA DOMINICANA | null | SERV GRALES DE LA ADM PÚBLICA | 23/10/1947 | ACTIVO | NORMAL |
| 430027715 | ARS PLAN SALUD BANCO CENTRAL | ARS BANCO CENTRAL | ADMINISTRACION DE RIESGOS DE S | 23/06/2003 | ACTIVO | NORMAL |
| 401508583 | FONDO DE JUBILACIONES Y PENSIONES DEL PERSONAL DEL BANCO CENTRAL | null | ADMINISTRACIÓN DE FONDOS DE PE | 24/02/1999 | ACTIVO | NORMAL |
| 430118591 | CLUB EMPLEADOS DEL BANCO CENTRAL | CLUB EMPLEADOS DEL BANCO CENTRAL | SERV. DE ORGANIZACIÓN, DIRECCI | 08/09/2011 | ACTIVO | NORMAL |
+-----------+-------------------------------------------------------------------+----------------------------------+--------------------------------+------------+--------------+--------+
```
### Convertir en dataframe de pandas
```python
>>> df = df.to_pandas()
```
Raw data
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"description": "# Dataset de los RNCs de la DGII de Rep\u00fablica Dominicana\r\n\r\n[](https://pypi.org/project/dgii-rnc/) [](https://www.python.org/downloads/)\r\n  [](./CHANGELOG.md)\r\n\r\nHerramienta sencilla para carga el dataset de los RNCs de la DGII.\r\n\r\nPuede ser \u00fatil para actualizar r\u00e1pidamente la informaci\u00f3n en los flujos de trabajo.\r\n\r\nFuente del dataset: [https://www.dgii.gov.do/app/WebApps/Consultas/RNC/DGII_RNC.zip]\r\n\r\n## Instalaci\u00f3n\r\n\r\n```python\r\n>>> pip install dgii-rnc\r\n```\r\n\r\n## Dependencias\r\n\r\n- Polars\r\n\r\n## Modo de Uso\r\n\r\n### Cargar dataset de RNCs\r\n\r\n```python\r\n>>> from dgii_rnc.dgii_rnc import dgii_handler\r\n>>> import polars as pl\r\n\r\n>>> df = dgii_handler.rnc_df()\r\n\r\n>>> df.shape\r\n(728522, 7)\r\n\r\n>>> df.filter(pl.col(\"NOMBRE\").str.contains(\"BANCO CENTRAL\"))\r\nshape: (4, 7)\r\n+-----------+-------------------------------------------------------------------+----------------------------------+--------------------------------+------------+--------------+--------+\r\n| ID | NOMBRE | NOMBRE_COMERCIAL | CATEGORIA | FECHA | REGIMEN_PAGO | ESTADO |\r\n| --- | --- | --- | --- | --- | --- | --- |\r\n| str | str | str | str | str | str | str |\r\n+========================================================================================================================================================================================+\r\n| 401007551 | BANCO CENTRAL DE LA REPUBLICA DOMINICANA | null | SERV GRALES DE LA ADM P\u00daBLICA | 23/10/1947 | ACTIVO | NORMAL |\r\n| 430027715 | ARS PLAN SALUD BANCO CENTRAL | ARS BANCO CENTRAL | ADMINISTRACION DE RIESGOS DE S | 23/06/2003 | ACTIVO | NORMAL |\r\n| 401508583 | FONDO DE JUBILACIONES Y PENSIONES DEL PERSONAL DEL BANCO CENTRAL | null | ADMINISTRACI\u00d3N DE FONDOS DE PE | 24/02/1999 | ACTIVO | NORMAL |\r\n| 430118591 | CLUB EMPLEADOS DEL BANCO CENTRAL | CLUB EMPLEADOS DEL BANCO CENTRAL | SERV. DE ORGANIZACI\u00d3N, DIRECCI | 08/09/2011 | ACTIVO | NORMAL |\r\n+-----------+-------------------------------------------------------------------+----------------------------------+--------------------------------+------------+--------------+--------+\r\n```\r\n\r\n### Convertir en dataframe de pandas\r\n\r\n```python\r\n>>> df = df.to_pandas()\r\n```\r\n",
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