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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, EN BAYONETA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 7.5 /17.3 MM APERTURA. 8.8 MM FUERZA EN GRAMOS.
IMSS product code
060.446.2135.02
Each circle represents one of the 14 purchases of GRAPAS made by the IMSS between 2010 and 2018.
| 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 | 9 | 92,243.6 MXN | 12,133.3 MXN | 15.1 % | 3.65 | 28 de febrero de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 19,571.6 MXN | 2,699.5 MXN | 16 % | 0.8 | 2 de julio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 8,836.2 MXN | 1,808.7 MXN | 25.7 % | 0.515 | 10 de junio de 2013 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 11,907.1 MXN | 1,642.4 MXN | 16 % | 0.16 | 26 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. | 8 | 12,377.6 MXN | 17.4 % | 3.71 | 2013 - 2018 |
| DEWIMED, S. A. | 2 | 1,564.4 MXN | 11.1 % | 0.445 | 2013 - 2013 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 2 | 2,159.6 MXN | 16 % | 0.64 | 2010 - 2010 |
| DURFA, S. A. DE C. V. | 1 | 539.9 MXN | 16 % | 0.16 | 2010 - 2010 |
| NEURO INSTRUMENTS, S. DE R.L. DE C.V. | 1 | 1,642.4 MXN | 16 % | 0.16 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.446.2135.02")
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=060.446.2135.02')
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=060.446.2135.02')