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Description
SENSIBLE AL AZUL DE 14 X 14 PULGADAS NÚMERO DE CATÁLOGO: EBA1Y, PARA SU USO EN EL EQUIPO CLAVE: 531 341 0499 UNIDAD RADIOGRAFICA DE 500 MA CUBIERTA DESPLAZABLE, MARCA: CMR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0230.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 1 purchases of PELICULA RADIOGRAFICA made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 36,830 MXN | 5,080 MXN | 16 % | 1.6 | 3 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 5,080 MXN | 16 % | 1.6 | 2010 - 2010 |
Entity type
Consumibles de equipos medicos y de laboratorio
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.687.0230.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.687.0230.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=379.687.0230.00')