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Description
DE ACERO INOXIDABLE (STENT), CON REVESTIMIENTO DE PACLITAXEL, MONTADA EN BALON DE ALTA PRESION Y BAJO PERFIL. DIAMETRO 2.75 MM, LONGITUD 16.0 MM.
Classification
Material médico. Material de curacion
IMSS product code
060.747.8922.00
Each circle represents one of the 9 purchases of PROTESIS ENDOVASCULAR CORONARIA made by the IMSS between 2009 and 2012.
| 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 | 7 | 282,003.8 MXN | 51,502.2 MXN | 17.9 % | 2.97 | 16 de diciembre de 2010 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 18,560 MXN | - MXN | - | - | 20 de diciembre de 2012 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 751,617.4 MXN | 112,262 MXN | 17.6 % | 4.57 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 7 | 13,209.3 MXN | 3.39 % | 0.949 | 2009 - 2012 |
| BIOSTER, S.A. DE C.V. | 1 | 38,292.9 MXN | 101.3 % | 2.03 | 2009 - 2009 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 112,262 MXN | 17.6 % | 4.57 | 2011 - 2011 |
Entity type
Material de curacion
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=060.747.8922.00")
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=060.747.8922.00')
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=060.747.8922.00')