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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR, FENESTRADA, DE MATERIAL NO MAGNETICO, PERMANENTE CON UN DIAMETRO DE FENESTRACION EN UN RANGO DE 3.0 A 3.5 MM RECTA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 12/17 MM APERTURA. 9.6 MM FUERZA EN
IMSS product code
060.446.2200.02
Each circle represents one of the 9 purchases of GRAPAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 5 | 30,199.4 MXN | 4,165.4 MXN | 16 % | 0.96 | 31 de agosto de 2011 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 83,948.9 MXN | 11,396.8 MXN | 15.7 % | 4.51 | 3 de marzo de 2017 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 61,028.8 MXN | 8,417.8 MXN | 16 % | 4.16 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| AARSON PRODUCTOS HOSPITALARIOS, S.A. DE C.V. | 5 | 4,165.4 MXN | 16 % | 0.96 | 2010 - 2011 |
| DEWIMED, S. A. | 3 | 16,642.3 MXN | 16 % | 6.72 | 2011 - 2017 |
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 1 | 3,172.3 MXN | 15 % | 1.95 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=060.446.2200.02")
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=060.446.2200.02')
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=060.446.2200.02')