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Description
PARA DILATACION DE ARTERIA CORONARIA, DE INTERCAMBIO RAPIDO. CALIBRE 2.7 FR DISTAL, LONGITUD DE 140 CM, CON GLOBO DE ALTA PRESION, DE MATERIAL NYLON 12. RADIOPACO. DIAMETRO DEL GLOBO 3.5 MM. LONGITUD DEL GLOBO 20 MM
Classification
Material médico. Material de curacion
IMSS product code
060.166.2455.03
Each circle represents one of the 17 purchases of CATETERES made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 14 | 309,912.3 MXN | 42,225.4 MXN | 18.5 % | 31.2 | 9 de marzo de 2015 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 2 | 40,550 MXN | 5,742.1 MXN | 16.5 % | 4.62 | 1 de abril de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 38,276.2 MXN | 5,279.5 MXN | 16 % | 3.68 | 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. | 16 | 51,499.2 MXN | 17.7 % | 38.5 | 2009 - 2015 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 1,747.8 MXN | 24.9 % | 0.996 | 2014 - 2014 |
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=060.166.2455.03")
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=060.166.2455.03')
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=060.166.2455.03')