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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR DE MATERIAL NO MAGNETICO, PERMANENTE, CURVA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 15 MM APERTURA. 7.4 MM FUERZA EN GRAMOS. 200.
IMSS product code
060.446.0717.02
Each circle represents one of the 24 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 |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 21 | 2.8 millones MXN | 384,697.4 MXN | 16.2 % | 92.2 | 31 de julio de 2018 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 2 | 25,689.9 MXN | 3,169.2 MXN | 11.2 % | 1.87 | 24 de agosto de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 28,838.4 MXN | 3,977.7 MXN | 16 % | 2.08 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EXORTA, S. DE R.L DE C.V. | 17 | 199,800 MXN | 16 % | 49.4 | 2014 - 2016 |
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 3 | 4,294.8 MXN | 14.2 % | 2.28 | 2009 - 2011 |
| VARLIX MEXICO, S.A. DE C.V. | 3 | 183,771.8 MXN | 16 % | 42.4 | 2017 - 2018 |
| DEWIMED, S. A. | 1 | 3,977.7 MXN | 16 % | 2.08 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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=060.446.0717.02")
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=060.446.0717.02')
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=060.446.0717.02')