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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR, FENESTRADA, DE MATERIAL NO MAGNETICO, PERMANENTE CON UN DIAMETRO DE FENESTRACION DE 5.0 MM, RECTA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 6/15.7 MM APERTURA. 7.9 MM FUERZA EN GRAMOS. 150.
IMSS product code
060.446.2093.02
Each circle represents one of the 5 purchases of GRAPAS made by the IMSS between 2008 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 13,920 MXN | 1,920 MXN | 16 % | 0.64 | 25 de noviembre de 2016 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 5,971.7 MXN | 823.7 MXN | 16 % | 0.32 | 20 de diciembre de 2012 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 5,411.4 MXN | 746.4 MXN | 16 % | 0.16 | 19 de julio de 2011 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 24,696.7 MXN | 3,221.3 MXN | 15 % | 1.95 | 28 de noviembre de 2008 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 4 | 5,965 MXN | 15.7 % | 2.91 | 2008 - 2016 |
| AARSON PRODUCTOS HOSPITALARIOS, S.A. DE C.V. | 1 | 746.4 MXN | 16 % | 0.16 | 2011 - 2011 |
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=060.446.2093.02")
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=060.446.2093.02')
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=060.446.2093.02')