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Description
SENSIBLE AL AZUL DE 8 X 10 PULGADAS NÚMERO DE CATÁLOGO: EBA45, PARA SU USO EN EL EQUIPO CLAVE: 531 341 0424 UNIDAD RADIOLOGICA Y FLUOROSCOPICA DE USO GENERAL, MARCA: CMR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0131.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 2 purchases of PELICULA RADIOGRAFICA made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 71,984.5 MXN | 9,928.9 MXN | 16 % | 4.8 | 23 de febrero de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 5,730.4 MXN | 790.4 MXN | 16 % | 0.32 | 7 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 790.4 MXN | 16 % | 0.32 | 2014 - 2014 |
| CARMONA LEMUS JOSE LUIS | 1 | 9,928.9 MXN | 16 % | 4.8 | 2011 - 2011 |
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=379.687.0131.00")
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=379.687.0131.00')
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=379.687.0131.00')