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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR DE MATERIAL NO MAGNETICO, PERMANENTE, EN ANGULO DE 90 GRADOS. TIPO: YASARGIL. LONGITUD DE QUIJADA. 7 MM APERTURA. 7.2 MM FUERZA EN GRAMOS. 200.
IMSS product code
060.446.0824.02
Each circle represents one of the 10 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 | 5 | 55,339 MXN | 7,447.8 MXN | 15.3 % | 2.75 | 4 de septiembre de 2014 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 146,207.1 MXN | 17,876.4 MXN | 10.3 % | 7.92 | 3 de marzo de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 24,696.7 MXN | 3,221.3 MXN | 15 % | 1.95 | 1 de enero de 2009 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 9,860 MXN | 5,046.8 MXN | 104.9 % | 1.05 | 1 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. | 3 | 16,354.3 MXN | 15 % | 9.9 | 2008 - 2009 |
| DURFA, S. A. DE C. V. | 3 | 3,856.7 MXN | 15.2 % | 0.64 | 2010 - 2014 |
| DEWIMED, S. A. | 2 | 7,964.7 MXN | 8 % | 1.92 | 2016 - 2017 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 369.9 MXN | 16 % | 0.16 | 2010 - 2010 |
| SUPLEMENTOS ORTOBIOLOGICOS E IMPLANTES SDE RL DE CV | 1 | 5,046.8 MXN | 104.9 % | 1.05 | 2016 - 2016 |
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=060.446.0824.02")
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=060.446.0824.02')
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=060.446.0824.02')