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Description
GRAPAS PARA ANEURISMA, TAMANO MINI, DE MATERIAL NO MAGNETICO, PERMANENTE, RECTA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 3 MM APERTURA. 3.3 MM FUERZA EN GRAMOS. 110.
IMSS product code
060.446.1228.02
Each circle represents one of the 14 purchases of GRAPAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 23,845 MXN | 2,973.3 MXN | 13.3 % | 0.7 | 6 de junio de 2014 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 3 | 232,487.2 MXN | 30,924.8 MXN | 10.7 % | 7.04 | 17 de enero de 2018 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 137,425.7 MXN | 23,132.6 MXN | 20.4 % | 14.7 | 17 de febrero de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 15,517.8 MXN | 2,456.1 MXN | 18.5 % | 0.74 | 10 de junio de 2013 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 10,200.6 MXN | 912.7 MXN | 9.83 % | 0.59 | 25 de octubre de 2010 |
| Delegación Oaxaca | Oaxaca | 1 | 5,916 MXN | - MXN | - | - | 2 de julio de 2010 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 30,972 MXN | 5,592 MXN | 22 % | 0.661 | 29 de noviembre de 2017 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 43,670.9 MXN | 6,023.6 MXN | 16 % | 3.36 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 4 | 22,645.8 MXN | 17 % | 9.98 | 2009 - 2016 |
| AARSON PRODUCTOS HOSPITALARIOS, S.A. DE C.V. | 1 | 802.1 MXN | 11 % | 0.22 | 2013 - 2013 |
| BARRIGA CORONADO MAYRA ELIZABETH | 1 | 912.7 MXN | 9.83 % | 0.59 | 2010 - 2010 |
| CONSUMIBLES PARA LA SALUD, S.A. DE C.V. | 1 | 19,520 MXN | 16 % | 3.2 | 2018 - 2018 |
| DEWIMED, S. A. | 1 | 6,023.6 MXN | 16 % | 3.36 | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | 5,592 MXN | 22 % | 0.661 | 2017 - 2017 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 14,347.7 MXN | 25.7 % | 9.27 | 2010 - 2010 |
| MEDICA INTEGRAL HDM S.A DE C.V. | 1 | 1,718.1 MXN | 19 % | 0.38 | 2014 - 2014 |
| PE MEDICAL SA DE CV | 1 | 453.1 MXN | 10 % | 0.1 | 2014 - 2014 |
| RUSTIG | 1 | - MXN | - | - | 2017 - 2017 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 1 | - MXN | - | - | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.446.1228.02")
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=060.446.1228.02')
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=060.446.1228.02')