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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR DE MATERIAL NO MAGNETICO, TEMPORAL, CURVA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 9 MM APERTURA. 6.8 MM FUERZA EN GRAMOS. 70.
IMSS product code
060.446.1988.02
Each circle represents one of the 7 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 Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 32,525.3 MXN | 4,301.1 MXN | 15.7 % | 2.27 | 13 de enero de 2010 |
| 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 | 1,756.2 MXN | 41.7 % | 0.833 | 20 de diciembre de 2012 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 117,154.3 MXN | 16,159.2 MXN | 16 % | 5.76 | 3 de marzo de 2017 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 6,830.2 MXN | 942.1 MXN | 16 % | 0.32 | 25 de agosto de 2014 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 62,487.6 MXN | 7,686.5 MXN | 14 % | 3.65 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DEWIMED, S. A. | 3 | 24,787.8 MXN | 15.3 % | 9.73 | 2011 - 2017 |
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 2 | 4,977.5 MXN | 28.3 % | 2.78 | 2008 - 2012 |
| DURFA, S. A. DE C. V. | 1 | 539.9 MXN | 16 % | 0.16 | 2010 - 2010 |
| 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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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=060.446.1988.02")
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=060.446.1988.02')
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=060.446.1988.02')