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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 ANGULO DE 45 GRADOS. TIPO: YASARGIL. LONGITUD DE QUIJADA. 7.5/13.5 MM APERTURA. 5.5 MM FUERZA EN
IMSS product code
060.446.2101.02
Each circle represents one of the 8 purchases of GRAPAS made by the IMSS between 2008 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 3 | 19,165.5 MXN | 2,643.5 MXN | 16 % | 0.96 | 16 de febrero de 2015 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 3 | 59,121.7 MXN | 7,770.2 MXN | 15.7 % | 4.37 | 13 de enero de 2010 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 34,800 MXN | 4,800 MXN | 16 % | 1.6 | 25 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 6 | 14,133.9 MXN | 15.8 % | 6.61 | 2008 - 2016 |
| 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)
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=060.446.2101.02")
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=060.446.2101.02')
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=060.446.2101.02')