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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. 6/11 MM APERTURA. 7.4 MM FUERZA EN GRAMOS.
IMSS product code
060.446.2192.02
Each circle represents one of the 10 purchases of GRAPAS made by the IMSS between 2008 and 2017.
| 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 | 3 | 51,581.9 MXN | 7,114.7 MXN | 16 % | 2.4 | 8 de abril de 2014 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 166,371.6 MXN | 14,546.2 MXN | 12.6 % | 5.93 | 3 de marzo de 2017 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 32,525.3 MXN | 2,463.6 MXN | 12.6 % | 1.09 | 13 de enero de 2010 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 17,077.5 MXN | 11,697.6 MXN | 217.4 % | 6.52 | 1 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 4 | 10,737.4 MXN | 16 % | 3.36 | 2013 - 2017 |
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 3 | 12,307.3 MXN | 9.29 % | 5.74 | 2008 - 2014 |
| DURFA, S. A. DE C. V. | 1 | 539.9 MXN | 16 % | 0.16 | 2010 - 2010 |
| HERRERA SOSA MIRIAM PATRICIA | 1 | 11,697.6 MXN | 217.4 % | 6.52 | 2009 - 2009 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 539.9 MXN | 16 % | 0.16 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.446.2192.02")
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=060.446.2192.02')
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=060.446.2192.02')