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Description
ALYX OBTENCIO DE 2 PG LEUCORREDUCIDOS NÚMERO DE CATÁLOGO: 4R5701, PARA SU USO EN EL EQUIPO: CLAVE: 531 925 0386 UNIDAD DE AFERESIS, MARCA: BAXTER, MODELO: ALYX
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.327.0228.00
Presentation
CAJA CON 6.
Each circle represents one of the 4 purchases of EQUIPO made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 4 | 20,100.5 MXN | 2,772.5 MXN | 16 % | 12 | 6 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GOPY MEDICAL S.A DE C.V. | 3 | 2,699.5 MXN | 16 % | 11.8 | 2011 - 2012 |
| PROTECNOLOGICA INTEGRAL MUVA, S.A. DE C.V. | 1 | 73 MXN | 16 % | 0.16 | 2014 - 2014 |
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=379.327.0228.00")
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=379.327.0228.00')
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=379.327.0228.00')