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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 0424 UNIDAD RADIOLOGICA Y FLUOROSCOPICA DE USO GENERAL, MARCA: CMR
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0115.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 2 purchases of PELICULA RADIOGRAFICA made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 290,000.4 MXN | 40,000.1 MXN | 16 % | 28.6 | 6 de julio de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 7,122.4 MXN | 982.4 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 | 982.4 MXN | 16 % | 0.32 | 2014 - 2014 |
| CARMONA LEMUS JOSE LUIS | 1 | 40,000.1 MXN | 16 % | 28.6 | 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=379.687.0115.00")
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=379.687.0115.00')
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=379.687.0115.00')