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Description
GRAPAS PARA ANEURISMA, TAMAYO MINI, DE MATERIAL NO MAGNETICO, PERMANENTE, CURVA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 7 MM APERTURA. 4.0 MM, FUERZA EN GRAMOS. 110.
IMSS product code
060.446.1301.03
Each circle represents one of the 18 purchases of GRAPAS made by the IMSS between 2008 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 | 7 | 72,001.2 MXN | 3,062 MXN | 3.32 % | 0.893 | 12 de abril de 2018 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 5 | 154,744 MXN | 20,827.4 MXN | 10.9 % | 6.15 | 7 de mayo de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 4 | 50,707.7 MXN | 13,392.6 MXN | 47.6 % | 3.49 | 29 de noviembre de 2017 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 13,254.3 MXN | 1,828.2 MXN | 16 % | 0.48 | 10 de junio de 2013 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 8,740 MXN | 4,863.3 MXN | 125.4 % | 2.51 | 17 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 14 | 25,717.6 MXN | 6.71 % | 7.52 | 2008 - 2018 |
| DURFA, S. A. DE C. V. | 2 | 13,022.7 MXN | 87.1 % | 3.33 | 2010 - 2017 |
| FABRIZIO APONTE EDUARDO | 1 | 4,863.3 MXN | 125.4 % | 2.51 | 2009 - 2009 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 369.9 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=060.446.1301.03")
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=060.446.1301.03')
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=060.446.1301.03')