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Description
INJERTOS DE POLIESTER, TUBULAR, RECUBIERTO. DIAMETRO. 24 MM LONGITUD. 30 CM.
IMSS product code
060.506.2629.02
Each circle represents one of the 11 purchases of INJERTOS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 3 | 11,971.5 MXN | 517.5 MXN | 5 % | 0.15 | 16 de marzo de 2010 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 3 | 64,101.6 MXN | 8,841.6 MXN | 16 % | 0.96 | 24 de diciembre de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 3 | 267,143.2 MXN | 40,263.9 MXN | 16.7 % | 3.29 | 4 de marzo de 2016 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 25,277 MXN | 5,595.1 MXN | 51 % | 1.02 | 24 de junio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 7 | 10,799.1 MXN | 11.3 % | 1.27 | 2009 - 2018 |
| ASESORIA EN PRODUCTOS MEDICOS, S.A. DE C.V. | 1 | 5,595.1 MXN | 102 % | 1.02 | 2010 - 2010 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 1 | - MXN | - | - | 2016 - 2016 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 1 | 34,023.9 MXN | 18.1 % | 2.17 | 2016 - 2016 |
| RYSE MEDICA, S.A. DE C.V. | 1 | 4,800 MXN | 16 % | 0.96 | 2015 - 2015 |
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=060.506.2629.02")
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=060.506.2629.02')
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=060.506.2629.02')